diff --git a/TRAVEL_PACKING_LIST_PLAN.md b/TRAVEL_PACKING_LIST_PLAN.md
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+## Travel Packing List Generator — Implementation Plan
+
+### Goal
+Build an AI assistant that generates an optimized travel packing list and optional booking suggestions, taking into account user constraints (e.g., backpack capacity), trip parameters (destination, time of day, dates, trip length), weather, attraction plans, and regulatory requirements (airport security, visas, documents). Use the same agent/tooling pattern as `src/agent/attractions.ipynb` with MCP tools over HTTP and LangChain agent.
+
+### Scope Overview
+- **Core**: Conversational packing list generation that factors in weather, trip length, time-of-day activities, transportation type, and user capacity constraints. Validate against security rules and travel document requirements. Summarize suggested bookings and ask for explicit confirmation before any booking action.
+- **Integrations**: Reuse existing MCPs (`weather`, `attractions`) and add new MCPs for travel requirements and bookings.
+- **Phase 2 (optional/next)**: Backpack photo analysis to estimate capacity and determine which items fit using a simplified volume/packing algorithm with a vision-enabled model.
+
+## User Stories
+- As a traveler, I can specify destination, dates, trip length, planned activities and time-of-day usage so the assistant tailors my packing list.
+- As a traveler, I can set constraints like backpack capacity, airline baggage limits, weight targets, or liquid restrictions to get a feasible list.
+- As a traveler, I receive alerts if items violate airport security, require declarations, or if I need visas/documents.
+- As a traveler, I can see weather-informed suggestions (layers, rain gear) and trip-length-based quantities.
+- As a traveler, I can receive suggested bookings (flights/hotels/attractions), and the system will only book after I confirm.
+- As a traveler (Phase 2), I can upload a photo of my backpack to estimate volume and check if the packing list fits.
+- As a traveler, I can enable a "keep-it-simple" mode to get a concise, printable checklist I can use 3 minutes before leaving the house.
+- As a traveler, the assistant proactively asks for my carry capacity, max weight I can comfortably carry, and any limitations (mobility, health, liquid restrictions) and tailors recommendations accordingly.
+
+## Functional Requirements
+- **Input collection**: destination(s), dates, trip length, activities (day/night, hiking, formal, beach, business), transport (flight/airline), accommodations, personal preferences (laundry, style), constraints (capacity in L, max weight, budget), and known documents.
+- **Onboarding questions**: explicitly ask for backpack capacity (L), maximum comfortable carry weight (kg), airline/route, cabin class, mobility/health limitations (e.g., knee issues, need for meds), liquid constraints, and laundry availability.
+- **Weather intake**: fetch current and forecast weather (reuse `weather` MCP) for relevant dates.
+- **Attractions intake**: optional attraction plans (reuse `attractions` MCP) to bias item categories (e.g., museum vs hiking).
+- **Regulatory checks**: identify prohibited/restricted items (airport), visa requirements, passport validity, entry paperwork, vaccinations where applicable.
+- **List generation**: produce a categorized packing list with quantities, rationale, estimated volume/weight, and flags for restricted items.
+- **Capacity/weight fit**: adjust list to meet capacity/weight limits; propose alternatives (e.g., travel-size liquids, laundry mid-trip).
+- **Booking suggestions**: propose relevant bookings; show structured summary; require explicit confirmation before calling booking tools.
+- **Explainability**: show which constraints and data influenced each recommendation.
+- **Item categorization and filters**: classify each item by safety status (safe/restricted/prohibited), priority (must-have/nice-to-have), weight class (light/medium/heavy), and category (clothing/toiletries/electronics/documents/health/accessories). Allow filtering/sorting and provide totals per class.
+- **Keep-it-simple mode**: output a minimal, printable checklist (plain text/markdown) with only item names, quantities, and a short high-priority notes section. Skip long explanations and avoid non-essential tool calls.
+- **Budgeting and costs (Phase 1.5)**: capture user budgets (overall, per-category like clothing/toiletries, and per booking type), estimate packing vs buy-at-destination tradeoffs, compute baggage fees risk based on weight/size, and include price ranges from mocked MCPs in summaries.
+
+## Non-Functional Requirements
+- **Safety**: never perform bookings without explicit user confirmation. Flag uncertainties and provide sources for regulatory advice.
+- **Privacy**: minimize PII retention; redact sensitive inputs in logs.
+- **Reliability**: degrade gracefully when some MCPs are unavailable (fallbacks and clear messages).
+- **Latency**: batch MCP calls where possible (weather + restrictions queries in parallel).
+- **Token efficiency**: cap max tokens per response, summarize chat history aggressively, truncate irrelevant memory, and limit tool-call fan-out. Prefer structured terse outputs in keep-it-simple mode. Refuse off-topic tasks to avoid token waste.
+- **Scope/guardrails**: the assistant is strictly for travel planning/packing. Politely refuse unrelated domains; avoid medical/legal advice beyond linking to official sources; disallow dangerous or disallowed items; rate-limit excessively long prompts and enforce message length caps.
+- **Offline-first (Phase 1)**: default to strict offline/mock mode with zero external HTTP. Any attempt to call live endpoints should raise a clear error.
+
+## Architecture Overview (patterned after `src/agent/attractions.ipynb`)
+Replicate the notebook structure with analogous cells:
+1) Env and dependency setup (uv + pip) → same approach as in `attractions.ipynb`.
+2) Imports and dotenv loading → include LangChain, Azure OpenAI, MCP adapter (`MultiServerMCPClient`, `load_mcp_tools`).
+3) MCP HTTP client config → include servers: `weather`, `attractions`, `travel_requirements`, `booking`.
+4) Tool loading via MCP adapter → `await mcp_client.get_tools()`.
+5) Agent setup → `AzureChatOpenAI` + `create_tool_calling_agent` + `ConversationBufferMemory`.
+6) Initialization cell → runs `await initialize_agent()`; logs available tools.
+7) User input/processing → `process_user_input` prints intermediate steps/tools used.
+8) Connectivity test cell → lists tools with descriptions.
+9) Example usage cell → demonstrate a few end-to-end prompts.
+10) Interactive chat loop → optional (confirmations and iterative constraints refinement).
+11) Cleanup cell → close the MCP client.
+
+Additionally, provide a console script entrypoint so the same orchestration can run outside of Jupyter (see "Runtime Form Factor").
+
+## MCP Servers and Tools
+Reuse existing:
+- `weather-mcp`: `get_current_weather`, `get_weather_forecast` (already present)
+- `attractions-mcp`: optional for itinerary-driven packing
+
+Add new MCPs:
+**Phase 1 HTTP policy:** All external HTTP calls MUST be mocked. MCP servers run in stub/offline mode with deterministic fixtures; no outbound network calls are permitted in Phase 1.
+1) `travel-requirements-mcp` (HTTP)
+   - **Purpose**: Validate airport security restrictions, baggage rules, visas, documents.
+   - Tools:
+     - `get_airport_security_rules(airport_code, country_code, airline, cabin_class)` → returns prohibited/restricted items (e.g., liquids > 100ml, batteries), quantity limits, references.
+     - `check_baggage_allowance(airline, cabin_class, route, fare_brand)` → size, linear dimensions, weight limits, personal item policy, references.
+     - `get_visa_requirements(nationality, destination_country, transit_countries, stay_length_days, purpose)` → visas/ESTA/eTA, passport validity, entry docs, references.
+     - `get_documents_checklist(destination_country, nationality, minors_traveling, driving, insurance)` → documents and recommended paperwork.
+
+2) `booking-mcp` (HTTP)
+   - **Purpose**: Search and propose bookings; perform booking only with explicit confirmation.
+   - Tools:
+     - `search_flights(origin, destination, depart_date, return_date, passengers, cabin_class, budget)`
+     - `search_hotels(destination, check_in, check_out, guests, budget, preferences)`
+     - `search_activities(destination, dates, interests, budget)`
+     - `hold_booking(booking_type, booking_payload)` → returns hold ID and expiration; requires confirmation step.
+     - `confirm_booking(hold_id, payment_token_or_redirect)` → only after user says “confirm”.
+
+Data contracts (illustrative JSON schemas):
+
+```json
+{
+  "generatePackingListRequest": {
+    "destination": "string",
+    "dates": {"start": "YYYY-MM-DD", "end": "YYYY-MM-DD"},
+    "tripLengthDays": 6,
+    "activities": ["hiking", "museum", "beach", "business_dinner"],
+    "timeOfDayUsage": ["day", "night"],
+    "transport": {"mode": "flight", "airline": "UA", "cabinClass": "economy"},
+    "accommodation": {"hasLaundry": true},
+    "constraints": {"capacityLiters": 28, "maxWeightKg": 8, "liquidLimitMl": 100},
+    "preferences": {"style": "casual", "tech": true, "photography": false},
+    "travelerProfile": {"nationality": "PL", "age": 35}
+  }
+}
+```
+
+```json
+{
+  "packingListItem": {
+    "category": "clothing|toiletries|electronics|documents|health|accessories",
+    "name": "Merino T-shirt",
+    "qty": 3,
+    "estimatedVolumeL": 0.9,
+    "estimatedWeightKg": 0.45,
+    "weightClass": "light|medium|heavy",
+    "priority": "must_have|nice_to_have",
+    "safetyStatus": "safe|restricted|prohibited",
+    "flags": ["liquid_over_limit", "battery_wh", "sharp_object"],
+    "reason": "6 days with laundry once",
+    "restricted": false,
+    "alternatives": ["synthetic tee"]
+  }
+}
+```
+
+## Packing Logic and Constraints
+- **Trip length scaling**: base quantities with diminishing increments and laundry factor (e.g., shirts = ceil(tripDays/2) with laundry once).
+- **Time of day**: add night items (headlamp, reflective layer, evening wear), sun items for daytime (sunglasses, sunscreen).
+- **Weather**: from forecast; choose layers, rain gear, insulation; heat adds hydration kit and light fabrics.
+- **Activities**: hiking → boots, socks, poles; beach → swimwear, quick-dry towel; business → formal attire.
+- **Transport**: airline baggage allowance and security rules filter/flag items; auto-replace oversized liquids with travel-size.
+- **Capacity/weight fit**: greedy plus knapsack heuristic by value/volume to respect `capacityLiters` and `maxWeightKg`; suggest renting/buying at destination for low-utility bulky items.
+- **Regulatory checks**: call `travel-requirements-mcp` tools; remove or flag disallowed items, add document checklist, surface references.
+- **Categorization**: assign `safetyStatus`, `priority`, and `weightClass` using rules + MCP responses; compute totals per class and show trade-offs (e.g., remove nice-to-have heavy items first when over capacity).
+- **Explainability**: attach a short reason per item and a global summary of constraints that drove changes.
+
+## Agent Prompt and Guardrails
+- System prompt emphasizes: obey constraints, verify with requirements tools, show rationale, and ask before booking or removing critical documents.
+- The agent must present a delta if the list changes due to capacity or regulations.
+- All booking actions must go through a confirmation ask: “Do you want me to place a hold/confirm?”
+- Add explicit scope rules: refuse non-travel topics; keep answers concise unless asked to expand; prefer bullet lists; in keep-it-simple mode output a single concise checklist.
+- Add token budget instructions: summarize context after each turn, cap tool calls per turn (e.g., ≤4), and prefer reusing cached results.
+- Identity: refer to the assistant as "DeepseekTravels" in system prompt and user-facing output headers.
+
+## Notebook Plan (`src/agent/packing_list.ipynb`)
+Create a new notebook mirroring the `attractions.ipynb` cell structure:
+1) Kernel + uv setup cell.
+2) Imports + dotenv + MCP adapter imports.
+3) MCP client setup with servers: `weather`, `attractions`, `travel-requirements`, `booking`.
+4) `create_mcp_tools()` to load tools and print list.
+5) `setup_agent()` with `AzureChatOpenAI`, tools array, and a tailored system prompt.
+6) `initialize_agent()` async cell to build the agent and log tools.
+7) `process_user_input()` with intermediate tool call logging.
+8) `test_mcp_connection()` to enumerate tools and descriptions.
+9) Example usage cells:
+   - Basic packing request with constraints.
+   - Request that triggers security/visa checks and shows flagged items.
+   - Booking suggestion flow that stops for confirmation.
+   - Keep-it-simple checklist for a last-minute departure.
+10) Optional `chat_loop()` for interactive demos.
+11) `cleanup_mcp()` to close connections.
+
+## Detailed Step-by-Step Implementation
+1) Define new MCP services
+   - Create `src/mcp/travel-requirements-mcp/` with HTTP server exposing the four tools listed above; implement providers: government sites, airline baggage policies, and security guidelines with cached reference links.
+   - Create `src/mcp/booking-mcp/` with HTTP server exposing search/hold/confirm endpoints; wire to sandbox/mock providers (phase 1) with clear “DEMO ONLY” flags.
+   - Provide `pyproject.toml`, `README.md`, `models.py`, and `utils.py` similar to existing MCP packages for weather/attractions.
+   - Phase 1: implement in-memory fixtures and deterministic responses; disable any outbound HTTP at the server layer; include a toggle for later live mode but keep default OFF.
+
+2) Data modeling
+   - Define Pydantic models for requests/responses in each MCP, including references/links and confidence fields.
+   - Standardize units (L, kg, ml) and add conversion helpers.
+
+3) Packing engine module
+   - Implement a deterministic rule + heuristic layer to convert inputs to items with qty/volume/weight and reasons.
+   - Add a capacity/weight fitter (value-per-volume heuristic; optional 0/1 knapsack for key categories), emitting alternatives and trade-offs.
+
+4) Agent prompt engineering
+   - Create a clear system prompt with objectives, constraints, tool usage order (parallel where possible), and confirmation gate for bookings.
+   - Add few-shot examples for day/night decisions, trip-length scaling, and restriction enforcement.
+
+5) Notebook build (`packing_list.ipynb`)
+   - Copy the structure from `attractions.ipynb` and adapt the text and logs to the packing flow.
+   - Ensure verbose intermediate step printing to aid demo/debugging.
+   - Name the agent in outputs as "DeepseekTravels".
+
+6) Confirmation UX
+   - Agent presents a structured booking summary (price, dates, refund policy) and asks for explicit confirmation.
+   - On “confirm”, call `hold_booking` → `confirm_booking`; otherwise, discard.
+
+7) Testing
+   - Unit tests for packing engine edge cases (short vs long trips, extreme weather, strict capacity).
+   - Integration tests calling MCP stubs (mocked responses) for requirements and bookings.
+   - Notebook walkthrough with 3–4 realistic scenarios.
+
+8) Observability and safety
+   - Add tool call logging, timing, and error surfaces in the notebook.
+   - Redact PII in logs; store only non-sensitive context.
+
+## Runtime Form Factor: Console App now, UI-ready later
+- Provide a Python console script `deepseek_travels_cli.py` that invokes the same agent orchestration as the notebook.
+- Use Typer or argparse for a clean CLI: modes `assist` (interactive), `generate` (one-shot packing list), `simple` (keep-it-simple checklist), and `book` (suggest/confirm flow).
+- Decouple I/O from logic: CLI calls a service layer (`PackingAssistantService`) so a future UI (web/desktop/mobile) can reuse the same API.
+- Stream outputs to console with minimal token usage; enable `--verbose` for debugging.
+- Enforce mocks in Phase 1: default flags `--offline` and `--use-mocks` enabled; reject `--live` until Phase 2.
+
+## Phase 1 Offline/Mock Mode
+- Default runtime is offline: all integrations use stubs/fixtures.
+- Environment flags and CLI switches:
+  - Env: `DEEPSEEKTRAVELS_OFFLINE=true`, `DEEPSEEKTRAVELS_USE_MOCKS=true` (default)
+  - CLI: `--offline/--no-offline`, `--use-mocks/--no-use-mocks` (Phase 1 forces these to true)
+- Add a network guard that raises if any HTTP client attempts a live call in Phase 1.
+
+## Proposed Folder Structure and Solution Architecture
+```
+src/
+  agent/
+    packing/                    # domain logic (packing engine, fitters, rules)
+      __init__.py
+      engine.py
+      fitters.py
+      rules.py
+    models/                     # pydantic models and schemas
+      __init__.py
+      packing_models.py
+      requirements_models.py
+    prompts/
+      __init__.py
+      system_prompt.txt         # includes DeepseekTravels identity and guardrails
+    services/
+      __init__.py
+      assistant_service.py      # PackingAssistantService orchestrating tools + engine
+      mcp_clients.py            # thin clients using langchain_mcp_adapters
+    cli/
+      deepseek_travels_cli.py   # console entrypoint (Typer/argparse)
+    packing_list.ipynb          # demo notebook mirroring attractions.ipynb
+  mcp/
+    travel-requirements-mcp/
+      ...                       # HTTP MCP server (tools: security, baggage, visa, docs)
+    booking-mcp/
+      ...                       # HTTP MCP server (tools: search/hold/confirm)
+tests/
+  unit/
+    test_engine_scaling.py
+    test_fitters_constraints.py
+    test_categorization.py
+  integration/
+    test_requirements_mcp_stub.py
+    test_booking_mcp_stub.py
+  e2e/
+    test_cli_simple_mode.py
+    test_cli_full_flow.py
+```
+
+Architecture layers:
+- Interface: CLI (and Jupyter for demos)
+- Orchestrator: `PackingAssistantService` (LangChain Agent + memory + tools)
+- Domain: Packing engine (rules + heuristics + fitters) and models
+- Integrations: MCP clients for weather, attractions, travel requirements, booking
+- Config: `.env` parsing and runtime options
+- Observability: structured logging for tool calls and decisions
+
+## Phase 1.5: Cost Assessment and Budgeting
+- Objectives:
+  - Gather budgets: overall trip budget, luggage budget (baggage fees), per-category budgets (optional), and booking budgets (flights/hotels/activities).
+  - Estimate costs with mocks: item purchase-at-destination ranges, travel-size alternatives, laundry costs, baggage fee thresholds, and booking price ranges.
+  - Optimize packing list within capacity and budget: prefer lower-cost alternatives where utility similar; flag over-budget categories and suggest trade-offs.
+- Implementation notes:
+  - Use mocked price catalogs and fee tables in MCPs and/or local fixtures; no live HTTP.
+  - Add a simple cost model: total_estimated_cost = items_to_buy_cost + expected_baggage_fees + laundry_cost + booking_estimates (if selected).
+  - Present a budget summary with deltas after any list change.
+  - Respect keep-it-simple mode by showing only totals and top 3 cost drivers.
+  - All costs labeled as estimates with mock/source notes.
+
+## Phase 2: Vision-Based Backpack Fit
+- **Objective**: Given a backpack photo, estimate capacity and determine if the recommended list fits.
+- **Approach**:
+  - Use an Azure OpenAI vision-capable model to analyze the image; optionally prompt user for dimensions/known volume for calibration.
+  - Estimate interior volume (L) from detected dimensions/shape; fallback to user-provided specs.
+  - Assign volume to items based on category and compressibility; run a simplified 3D bin/knapsack fit.
+  - Return: items that fit, items that do not, recommended swaps (e.g., packable jacket, travel-size toiletries).
+- **MCP**: `vision-mcp` with tools `estimate_backpack_volume(photo_url|upload)` and `fit_items_to_backpack(items, volume_liters)`.
+- **Limitations**: Explain estimation uncertainty; recommend manual measurement for high confidence.
+
+## Example Conversations to Support
+- “Trip to Tokyo for 6 days in November, lots of evening events, 28L backpack, economy on ANA.”
+- “Weekend beach trip to Lisbon, 20L daypack, can do laundry.”
+- “Patagonia trek 10 days, check security restrictions for stove fuel and trekking poles.”
+- “What flights and hotels would you suggest for my Paris dates? Hold but don’t confirm yet.”
+
+## Env and Config
+- Reuse `.env` style variables as in `attractions.ipynb`: `AZURE_OPENAI_*`, and new MCP URLs: `TRAVEL_REQUIREMENTS_MCP_URL`, `BOOKING_MCP_URL`.
+- Keep `uv` package management in the notebook to ensure kernel uses `.venv`.
+- Phase 1 defaults: `DEEPSEEKTRAVELS_OFFLINE=true`, `DEEPSEEKTRAVELS_USE_MOCKS=true`.
+
+## Risks and Mitigations
+- **Regulatory accuracy**: Always return references; label outputs as guidance and encourage official verification.
+- **Overfitting to capacity**: Provide alternatives and allow user overrides; offer destination purchase options.
+- **Booking liability**: Use sandbox/mock providers in demos; require explicit confirmation; show clear costs and policies.
+- **Vision accuracy** (Phase 2): Communicate uncertainty and ask for manual dimensions when needed.
+
+## Milestones
+1) Week 1: `travel-requirements-mcp` + packing engine prototype + notebook skeleton, with ALL HTTP calls mocked and offline.
+2) Week 2: `booking-mcp` mock integration + end-to-end demo in notebook.
+3) Week 3: Phase 1.5 budgeting: add mocked price catalogs, baggage fee tables, laundry costs; integrate budget inputs and summaries.
+4) Week 4: Tests, polishing, and documentation; add sample scenarios.
+5) Phase 2: Vision MCP and fit feature (timeboxed spike then refine).
+
+## Feasibility Review and Suggested Improvements
+- Feasibility: High. The pattern is aligned with `attractions.ipynb` and reuses MCP adapters. New MCPs can start with mock/sandbox providers. Packing engine is a bounded rules + heuristics problem.
+- Risks: regulatory data freshness; booking provider variability; capacity estimation accuracy. Mitigate by including references, mocks first, and user confirmations.
+- Improvements:
+  - Add caching layer for weather and requirements queries to save tokens.
+  - Introduce profiles (business, backpacking) to preload defaults for faster onboarding.
+  - Add export formats: markdown, CSV, and printable PDF for the checklist.
+  - Optional weight scale integration: let users input measured bag weight to refine fit.
+
+## Acceptance Criteria
+1) CLI `DeepseekTravels` runs with `--help` and supports modes: `assist`, `generate`, `simple`, `book`.
+2) Onboarding prompts collect capacity (L), max carry weight (kg), airline/route, cabin class, limitations, and dates/activities; can also be passed via flags.
+3) Weather MCP and Travel Requirements MCP are called (or mocked) and their results influence the list (e.g., rain gear added; liquids >100ml flagged).
+4) Output includes categorization: `safetyStatus`, `priority`, `weightClass`, and per-category totals; respects `capacityLiters` and `maxWeightKg`.
+5) Keep-it-simple mode emits a concise, printable checklist with quantities in ≤ one screen/page and avoids non-essential tool calls.
+6) Booking suggestions are presented with price/dates/policies, and no booking is performed without explicit “confirm”.
+7) Token guardrails: responses ≤ configured token budget; limited parallel tool calls; de-duplication and caching of repeated queries.
+8) Off-topic requests are politely refused with scope explanation.
+9) Errors from unavailable MCPs degrade gracefully with actionable guidance.
+10) Unit, integration, and E2E tests pass; sample scenarios produce expected outputs.
+11) Phase 1 mock enforcement: all external HTTP is mocked/stubbed; tests verify that any live HTTP attempt raises.
+
+## Testing Plan
+- Unit tests
+  - Trip-length scaling math and laundry adjustments.
+  - Weather-driven item inclusion (rain, heat, cold) and time-of-day logic.
+  - Capacity/weight fitter: verify removal order (heavy nice-to-have first), alternatives, and totals.
+  - Categorization rules: safety, priority, weight class and flags.
+- Integration tests (with mocked MCPs)
+  - Requirements MCP: prohibited items flagged/removed; visa/doc checklist attached.
+  - Booking MCP: search returns suggestions; hold requires confirmation; confirm only on explicit user command.
+  - Weather MCP: forecast alters layers and accessories.
+- End-to-end tests
+  - CLI simple mode outputs minimal checklist within token and line limits.
+  - CLI full flow generates categorized list, asks confirmations, and respects constraints.
+  - Failure cases: missing MCPs, network timeouts, and off-topic prompts.
+- Performance/Token tests
+  - Ensure context summarization is invoked; large histories remain within budget.
+- Security/Scope tests
+  - Off-topic requests refused; dangerous items flagged; no auto-booking.
+ - Mock/offline tests
+  - Verify that any attempt to issue live HTTP calls results in a controlled error in Phase 1.
+  - Validate stub data coverage for weather, requirements, and booking flows.
+
+1) Week 1: `travel-requirements-mcp` + packing engine prototype + notebook skeleton, with ALL HTTP calls mocked and offline.
+2) Week 2: `booking-mcp` mock integration + end-to-end demo in notebook.
+3) Week 3: Tests, polishing, and documentation; add sample scenarios.
+4) Phase 2: Vision MCP and fit feature (timeboxed spike then refine).
+
+
diff --git a/deepseek-travels-chat/.editorconfig b/deepseek-travels-chat/.editorconfig
new file mode 100644
index 0000000..3b510aa
--- /dev/null
+++ b/deepseek-travels-chat/.editorconfig
@@ -0,0 +1,8 @@
+[*.{js,jsx,mjs,cjs,ts,tsx,mts,cts,vue,css,scss,sass,less,styl}]
+charset = utf-8
+indent_size = 2
+indent_style = space
+insert_final_newline = true
+trim_trailing_whitespace = true
+end_of_line = lf
+max_line_length = 100
diff --git a/deepseek-travels-chat/.gitattributes b/deepseek-travels-chat/.gitattributes
new file mode 100644
index 0000000..6313b56
--- /dev/null
+++ b/deepseek-travels-chat/.gitattributes
@@ -0,0 +1 @@
+* text=auto eol=lf
diff --git a/deepseek-travels-chat/.gitignore b/deepseek-travels-chat/.gitignore
new file mode 100644
index 0000000..8ee54e8
--- /dev/null
+++ b/deepseek-travels-chat/.gitignore
@@ -0,0 +1,30 @@
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+lerna-debug.log*
+
+node_modules
+.DS_Store
+dist
+dist-ssr
+coverage
+*.local
+
+/cypress/videos/
+/cypress/screenshots/
+
+# Editor directories and files
+.vscode/*
+!.vscode/extensions.json
+.idea
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?
+
+*.tsbuildinfo
diff --git a/deepseek-travels-chat/.prettierrc.json b/deepseek-travels-chat/.prettierrc.json
new file mode 100644
index 0000000..29a2402
--- /dev/null
+++ b/deepseek-travels-chat/.prettierrc.json
@@ -0,0 +1,6 @@
+{
+  "$schema": "https://json.schemastore.org/prettierrc",
+  "semi": false,
+  "singleQuote": true,
+  "printWidth": 100
+}
diff --git a/deepseek-travels-chat/.vscode/extensions.json b/deepseek-travels-chat/.vscode/extensions.json
new file mode 100644
index 0000000..a06a8c6
--- /dev/null
+++ b/deepseek-travels-chat/.vscode/extensions.json
@@ -0,0 +1,9 @@
+{
+  "recommendations": [
+    "Vue.volar",
+    "vitest.explorer",
+    "dbaeumer.vscode-eslint",
+    "EditorConfig.EditorConfig",
+    "esbenp.prettier-vscode"
+  ]
+}
diff --git a/deepseek-travels-chat/README.md b/deepseek-travels-chat/README.md
new file mode 100644
index 0000000..eda53f4
--- /dev/null
+++ b/deepseek-travels-chat/README.md
@@ -0,0 +1,173 @@
+# DeepseekTravels Chat App
+
+A modern Vue3 + TypeScript chat interface for the DeepseekTravels intelligent packing assistant. This app provides a user-friendly web interface for the MCP-based travel packing system.
+
+## Features
+
+🧳 **Intelligent Packing Lists** - Generate smart packing recommendations based on destination, weather, and activities
+🌦️ **Weather Integration** - Real-time weather forecasts to inform packing decisions  
+✈️ **Travel Requirements** - Visa, documentation, and security restriction checking
+🏨 **Booking Suggestions** - Flight, hotel, and activity recommendations
+📱 **Mobile-Friendly** - Responsive design optimized for all devices
+🎯 **Keep-It-Simple Mode** - Quick, printable checklists for fast planning
+
+## Quick Start
+
+### Prerequisites
+
+- Node.js 20.19+ (or compatible version)
+- The MCP servers from the parent project running
+
+### Installation
+
+```bash
+# Install dependencies
+npm install
+
+# Start development server
+npm run dev
+
+# Build for production  
+npm run build
+```
+
+### Full Stack Setup
+
+The app now uses a FastAPI backend that replicates the Jupyter notebook functionality. Here's how to run everything:
+
+**Step 1: Start MCP Servers**
+```bash
+# Start all MCP servers (run this first!)
+./start-servers.sh
+```
+
+**Step 2: Start Backend API**
+```bash
+# Start the FastAPI backend server
+./start-backend.sh
+```
+
+**Step 3: Start Frontend**
+```bash
+# Start the Vue3 frontend (in a new terminal)
+npm run dev
+```
+
+The app will show server connection status in the header - all should be green when working properly.
+
+## Architecture
+
+### Full Stack Components
+
+**Frontend (Vue3 + TypeScript)**
+- **ChatInterface.vue** - Main chat component with message history and input
+- **Message rendering** - Supports markdown-like formatting  
+- **Typing indicators** - Shows when the assistant is processing
+- **Server status** - Real-time connection monitoring
+
+**Backend (FastAPI + Python)**
+- **main.py** - FastAPI server with LangChain agent from notebook
+- **Agent setup** - Azure OpenAI integration with MCP tools
+- **Session management** - Persistent conversation memory
+- **Health monitoring** - Real-time MCP server status checks
+
+**Services & Integration**
+- **chatService.ts** - Frontend HTTP client for FastAPI backend
+- **MCP Integration** - LangChain MCP adapters for tool calling
+- **CORS handling** - Proper cross-origin request support
+
+## Usage Examples
+
+Try these example queries in the chat:
+
+- "What should I pack for a week in Tokyo in November?"
+- "Beach weekend in Lisbon - keep it simple!"
+- "Business trip to Singapore, 28L backpack, flying ANA"
+- "Patagonia hiking for 10 days, 65L pack, 20kg limit"
+- "What's the weather like in Paris?"
+- "Do I need a visa for Japan?"
+
+## Development
+
+### Project Structure
+
+```
+deepseek-travels-chat/
+├── backend/                # FastAPI Backend
+│   ├── main.py            # FastAPI app with LangChain agent
+│   ├── requirements.txt   # Python dependencies
+│   └── .env              # Environment variables (copied from agent)
+├── src/                   # Vue3 Frontend
+│   ├── components/        # Vue components
+│   │   └── ChatInterface.vue
+│   ├── services/         # HTTP client services
+│   │   └── chatService.ts
+│   ├── composables/      # Vue composables
+│   │   └── useServerStatus.ts
+│   ├── types/           # TypeScript interfaces
+│   │   └── chat.ts
+│   └── App.vue          # Root component
+├── start-servers.sh      # Start all MCP servers
+├── start-backend.sh      # Start FastAPI backend
+├── stop-servers.sh       # Stop MCP servers
+└── package.json         # Frontend dependencies
+```
+
+### Key Technologies
+
+- **Vue 3** - Composition API with `<script setup>`
+- **TypeScript** - Full type safety
+- **Vite** - Fast development and building
+- **CSS3** - Modern styling with gradients and animations
+
+### Environment Variables
+
+Configure MCP server URLs in `.env`:
+
+```env
+VITE_WEATHER_MCP_URL=http://127.0.0.1:8009
+VITE_ATTRACTIONS_MCP_URL=http://127.0.0.1:8008
+VITE_TRAVEL_REQUIREMENTS_MCP_URL=http://127.0.0.1:8010
+VITE_BOOKING_MCP_URL=http://127.0.0.1:8011
+```
+
+## Production Deployment
+
+```bash
+# Build for production
+npm run build
+
+# Preview production build
+npm run preview
+
+# Deploy dist/ folder to your hosting platform
+```
+
+## Troubleshooting
+
+### MCP Servers Not Connecting
+
+1. Verify all MCP servers are running on correct ports
+2. Check firewall/CORS settings
+3. Review server logs for errors
+4. Ensure servers are accessible at configured URLs
+
+### Chat Not Responding
+
+1. Check browser console for JavaScript errors
+2. Verify MCP server endpoints are responding
+3. Test individual server health endpoints
+4. Review network tab for failed requests
+
+## Contributing
+
+This chat app was converted from the original Jupyter notebook (`packing_list.ipynb`) to provide a modern web interface. Key conversions:
+
+- **Agent logic** → Service layer with intent parsing
+- **MCP integration** → HTTP client with error handling  
+- **Interactive cells** → Real-time chat interface
+- **Notebook output** → Formatted message responses
+
+## License
+
+Part of the NewOrbit Hackathon 2025 project.
diff --git a/deepseek-travels-chat/backend/README.md b/deepseek-travels-chat/backend/README.md
new file mode 100644
index 0000000..5dd322a
--- /dev/null
+++ b/deepseek-travels-chat/backend/README.md
@@ -0,0 +1,25 @@
+```
+uv pip install -r requirements.txt
+uv run main.py
+```
+
+need a `.env` with:
+
+```
+AZURE_OPENAI_ENDPOINT=https://mkolo-mfxqosv8-eastus2.cognitiveservices.azure.com/openai/deployments/gpt-5-nano/chat/completions?api-version=2025-01-01-preview
+AZURE_OPENAI_API_KEY=
+AZURE_API_VERSION=2024-12-01-preview
+DEPLOYMENT_NAME=gpt-5-nano
+ATTRACTIONS_MCP_URL=http://127.0.0.1:8008/mcp/
+WEATHER_MCP_URL=http://127.0.0.1:8009/mcp/
+TRAVEL_REQUIREMENTS_MCP_URL=http://127.0.0.1:8010/mcp/
+BOOKING_MCP_URL=http://127.0.0.1:8011/mcp/
+```
+
+then `POST localhost:8000/chat`
+
+```
+{
+    "message": "Hello! I am going to Skegness for two weeks. I have a 20L rucksack. I am going skydiving."
+}
+```
\ No newline at end of file
diff --git a/deepseek-travels-chat/backend/SYSTEM_PROMPT.txt b/deepseek-travels-chat/backend/SYSTEM_PROMPT.txt
new file mode 100644
index 0000000..ed5a3aa
--- /dev/null
+++ b/deepseek-travels-chat/backend/SYSTEM_PROMPT.txt
@@ -0,0 +1 @@
+You are DeepseekTravels, an intelligent travel packing assistant. Your goal is to generate optimized packing lists.
\ No newline at end of file
diff --git a/deepseek-travels-chat/backend/__init__.py b/deepseek-travels-chat/backend/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/deepseek-travels-chat/backend/agent.py b/deepseek-travels-chat/backend/agent.py
new file mode 100644
index 0000000..05ef9f4
--- /dev/null
+++ b/deepseek-travels-chat/backend/agent.py
@@ -0,0 +1,104 @@
+import os
+
+from langchain_openai import AzureChatOpenAI
+from langchain.agents import AgentExecutor, create_tool_calling_agent
+from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
+from langchain.memory import ConversationBufferMemory
+
+from langchain_mcp_adapters.client import MultiServerMCPClient
+
+server_configs = {
+    "weather": {
+        "transport": "streamable_http",
+        "url": os.getenv("WEATHER_MCP_URL", "http://127.0.0.1:8009/mcp/")
+    },
+    "attractions": {
+        "transport": "streamable_http",
+        "url": os.getenv("ATTRACTIONS_MCP_URL", "http://127.0.0.1:8008/mcp/")
+    },
+    "travel_requirements": {
+        "transport": "streamable_http",
+        "url": os.getenv("TRAVEL_REQUIREMENTS_MCP_URL", "http://127.0.0.1:8010/mcp/")
+    },
+    "booking": {
+        "transport": "streamable_http",
+        "url": os.getenv("BOOKING_MCP_URL", "http://127.0.0.1:8011/mcp/")
+    }
+}
+
+def create_mcp_client():
+    """Create MCP tools using the official LangChain MCP adapter with HTTP transport"""
+    try:
+        # Define MCP server configurations
+        print("🔗 Connecting to MCP servers...")
+        for name, config in server_configs.items():
+            print(f"   • {name}: {config['url']}")
+        
+        # Create the multi-server MCP client
+        mcp_client = MultiServerMCPClient(server_configs)
+        
+        return mcp_client
+        
+    except Exception as e:
+        print(f"❌ Error connecting to MCP servers: {e}")
+        print("   Make sure all MCP servers are running:")
+        for name, config in server_configs.items():
+            print(f"   • {name}: uv run main.py (in src/mcp/{name.replace('_', '-')}-mcp/)")
+        raise
+
+async def setup_agent(system_prompt: str):
+    """Setup the DeepseekTravels agent with Azure OpenAI and MCP tools"""
+    global agent_executor, tools
+    
+    try:
+        # Load MCP tools
+        mcp_client = create_mcp_client()
+        tools = await mcp_client.get_tools()
+        print(f"🧰 Loaded {len(tools)} MCP tools")
+        
+        # Initialize Azure OpenAI
+        llm = AzureChatOpenAI(
+            azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"),
+            api_key=os.getenv("AZURE_OPENAI_API_KEY"),
+            api_version=os.getenv("AZURE_API_VERSION", "2024-12-01-preview"),
+            azure_deployment=os.getenv("DEPLOYMENT_NAME", "gpt-5-nano"),
+            temperature=1,  # Lower temperature for consistent packing advice
+            verbose=True
+        )
+        
+        print(f"🧠 Azure OpenAI initialized: {os.getenv('DEPLOYMENT_NAME', 'gpt-5-nano')}")
+        
+        # Create prompt template
+        prompt = ChatPromptTemplate.from_messages([
+            ("system", system_prompt),
+            MessagesPlaceholder("chat_history", optional=True),
+            ("human", "{input}"),
+            MessagesPlaceholder("agent_scratchpad")
+        ])
+        
+        # Create agent
+        agent = create_tool_calling_agent(llm, tools, prompt)
+        
+        # Create memory
+        memory = ConversationBufferMemory(
+            memory_key="chat_history",
+            return_messages=True,
+            output_key="output"
+        )
+        
+        # Create agent executor
+        agent_executor = AgentExecutor(
+            agent=agent,
+            tools=tools,
+            memory=memory,
+            verbose=True,
+            handle_parsing_errors=True,
+            max_iterations=10
+        )
+        
+        print(f"🤖 DeepseekTravels agent initialized successfully!")
+        return [agent_executor, tools]
+        
+    except Exception as e:
+        print(f"❌ Error setting up agent: {e}")
+        raise
\ No newline at end of file
diff --git a/deepseek-travels-chat/backend/main.py b/deepseek-travels-chat/backend/main.py
new file mode 100644
index 0000000..e26c5f1
--- /dev/null
+++ b/deepseek-travels-chat/backend/main.py
@@ -0,0 +1,120 @@
+"""
+DeepseekTravels API Server - Simplified Version
+
+FastAPI backend that provides a simple chat interface while 
+MCP servers are being set up. This can be extended later 
+with full LangChain integration.
+"""
+
+from typing import Optional
+
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+import uvicorn
+
+from dotenv import load_dotenv
+
+# LangChain imports
+from langchain.agents import AgentExecutor
+
+# Official MCP adapter imports for HTTP transport
+
+from contextlib import asynccontextmanager
+
+from agent import setup_agent
+
+load_dotenv('.env')
+
+agent_executor: Optional[AgentExecutor] = None
+tools: Optional[list] = None
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    """Application lifespan events"""
+    print("🚀 Starting DeepseekTravels Agent...")
+    global agent_executor, tools
+
+    agent_executor, tools = await setup_agent(system_prompt=DEEPSEEKTRAVELS_SYSTEM_PROMPT)
+
+    print("✅ DeepseekTravels Agent is ready!")
+    yield
+
+# Create FastAPI app
+app = FastAPI(
+    title="DeepseekTravels API",
+    description="Intelligent travel packing assistant API",
+    version="1.0.0",
+    lifespan=lifespan
+)
+
+class ChatRequest(BaseModel):
+    message: str
+
+DEEPSEEKTRAVELS_SYSTEM_PROMPT = """
+You are DeepseekTravels, an intelligent travel packing assistant. Your goal is to generate optimized packing lists.
+"""
+
+async def generate_response(message: str) -> str:
+    """Process user input and return LLM response using MCP tools"""
+    global agent_executor
+
+    if not agent_executor:
+        return "Agent not initialized. Please run the initialization cell first."
+    
+    try:
+        # Use the agent to process the input and get intermediate steps
+        result = await agent_executor.ainvoke({"input": message})
+        output = result.get("output") or result.get("final_output") or ""
+
+        # Print intermediate steps if present
+        steps = result.get("intermediate_steps") or []
+        for step in steps:
+            action = None
+            observation = None
+            if isinstance(step, tuple) and len(step) == 2:
+                action, observation = step
+            elif isinstance(step, dict) and "action" in step:
+                action = step.get("action")
+                observation = step.get("observation")
+            else:
+                continue
+
+            tool_name = getattr(action, "tool", getattr(action, "tool_name", "unknown"))
+            tool_args = getattr(action, "tool_input", getattr(action, "input", None))
+            print(f"\n--- Tool: {tool_name}")
+            print(f"args: {tool_args}")
+            if observation is not None:
+                print(f"result: {observation}")
+            print("---\n")
+
+        return output
+    except Exception as e:
+        return f"Error processing request: {str(e)}"
+
+@app.post("/chat")
+async def chat_endpoint(req: ChatRequest):
+    """Main chat endpoint that processes user messages"""
+    try:
+        # Generate response (simplified version)
+        print(f"Received message: {req.message}")
+        response_text = await generate_response(req.message)
+        print(f"Response: {response_text}")
+        
+        return {"response": response_text}        
+    except Exception as e:
+        print(f"Error processing chat message: {e}")
+        raise HTTPException(
+            status_code=500,
+            detail=f"Error processing your request: {str(e)}"
+        )
+
+if __name__ == "__main__":
+    print("🚀 Starting DeepseekTravels API Server (Simplified Mode)...")
+    print("   This version provides LangChain integration with MCP servers.")
+    uvicorn.run(
+        "main_simple:app",
+        host="127.0.0.1",
+        port=8000,
+        reload=True,
+        log_level="info",
+    )
\ No newline at end of file
diff --git a/deepseek-travels-chat/backend/main_simple.py b/deepseek-travels-chat/backend/main_simple.py
new file mode 100644
index 0000000..0cbe940
--- /dev/null
+++ b/deepseek-travels-chat/backend/main_simple.py
@@ -0,0 +1,357 @@
+"""
+DeepseekTravels API Server - Simplified Version
+
+FastAPI backend that provides a simple chat interface while 
+MCP servers are being set up. This can be extended later 
+with full LangChain integration.
+"""
+
+import os
+import json
+from typing import Dict, Any, Optional
+from datetime import datetime
+
+from fastapi import FastAPI, HTTPException
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+import uvicorn
+import httpx
+
+# Create FastAPI app
+app = FastAPI(
+    title="DeepseekTravels API",
+    description="Intelligent travel packing assistant API",
+    version="1.0.0"
+)
+
+# Add CORS middleware
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["http://localhost:5173", "http://127.0.0.1:5173", "http://localhost:3000"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+# Pydantic models
+class ChatMessage(BaseModel):
+    message: str
+    session_id: Optional[str] = "default"
+
+class ChatResponse(BaseModel):
+    response: str
+    session_id: str
+    timestamp: datetime
+
+class HealthResponse(BaseModel):
+    status: str
+    agent_ready: bool
+    mcp_servers: Dict[str, str]
+    tools_count: int
+
+class ServerStatusResponse(BaseModel):
+    servers: Dict[str, Dict[str, Any]]
+
+# Simple in-memory session storage
+sessions: Dict[str, list] = {}
+
+def get_or_create_session(session_id: str) -> list:
+    """Get or create a conversation session"""
+    if session_id not in sessions:
+        sessions[session_id] = []
+    return sessions[session_id]
+
+def generate_mock_response(message: str) -> str:
+    """Generate a mock response based on the user's message"""
+    lowerMessage = message.lower()
+    
+    # Check for packing list requests
+    if any(word in lowerMessage for word in ['pack', 'list', 'bring', 'trip']):
+        return generate_packing_response(message)
+    
+    # Check for weather requests
+    if any(word in lowerMessage for word in ['weather', 'temperature', 'climate']):
+        return generate_weather_response(message)
+    
+    # Check for travel requirements
+    if any(word in lowerMessage for word in ['visa', 'requirement', 'document']):
+        return generate_requirements_response(message)
+    
+    # Check for booking requests
+    if any(word in lowerMessage for word in ['flight', 'hotel', 'book', 'accommodation']):
+        return generate_booking_response(message)
+    
+    # General response
+    return generate_general_response(message)
+
+def generate_packing_response(message: str) -> str:
+    """Generate a mock packing list response"""
+    return """🧳 **Packing List for Your Trip**
+
+I'd love to help you create a personalized packing list! Based on your message, here's a starter list:
+
+**👔 Essential Clothing:**
+• 3-4 shirts/tops (mix of casual and smart)
+• 2 pairs of pants/bottoms
+• 5-6 underwear
+• 5-6 pairs of socks
+• 1 light jacket or sweater
+• Sleepwear
+
+**🧴 Toiletries & Personal:**
+• Toothbrush & toothpaste
+• Shampoo/soap (travel size)
+• Deodorant
+• Sunscreen
+• Personal medications
+
+**📱 Electronics:**
+• Phone charger
+• Universal adapter
+• Power bank
+• Headphones
+
+**📄 Important Documents:**
+• Passport/ID
+• Travel insurance
+• Flight/hotel confirmations
+• Emergency contact info
+
+**🎯 Smart Tips:**
+• Roll clothes to save 30% space
+• Wear your heaviest items while traveling
+• Pack for laundry every 5-7 days
+• Leave 20% space for souvenirs
+
+💡 *For a more detailed and personalized list, please make sure the MCP servers are running so I can check weather, travel requirements, and airline restrictions for your specific destination!*
+
+What's your destination and how long is your trip? I can provide more specific recommendations! 🌍"""
+
+def generate_weather_response(message: str) -> str:
+    """Generate a mock weather response"""
+    return """🌤️ **Weather Information**
+
+I'd like to help you with weather information, but I need the weather service to be running to provide accurate forecasts.
+
+**What I can help with when connected:**
+• 7-day weather forecast for your destination
+• Temperature ranges (min/max)
+• Precipitation probability
+• Wind conditions
+• Humidity levels
+• Weather-specific packing recommendations
+
+**For now, here are some general tips:**
+• Check the weather forecast before you travel
+• Pack layers for temperature changes
+• Bring a light rain jacket for unexpected showers
+• Consider the season and climate of your destination
+
+💡 *To get real weather data, please start the MCP servers using `./start-servers.sh` and I'll provide detailed forecasts for any destination!*
+
+What destination are you traveling to? 🌍"""
+
+def generate_requirements_response(message: str) -> str:
+    """Generate a mock travel requirements response"""
+    return """📋 **Travel Requirements**
+
+I can help you check travel requirements, but I need the travel requirements service to be running for accurate, up-to-date information.
+
+**What I can check when connected:**
+• Visa requirements for your nationality and destination
+• Required vaccinations and health certificates
+• Security restrictions and prohibited items
+• Airport and airline-specific baggage rules
+• Documentation needed for entry/exit
+
+**General reminders:**
+• Ensure your passport is valid for at least 6 months
+• Check if you need any vaccinations
+• Review your airline's baggage restrictions
+• Make copies of important documents
+
+💡 *For specific requirements, please start the MCP servers and I'll check the latest requirements for your destination and nationality!*
+
+Where are you traveling to and from? 🛂"""
+
+def generate_booking_response(message: str) -> str:
+    """Generate a mock booking response"""
+    return """🔍 **Booking Assistance**
+
+I can help you find flights, hotels, and activities, but I need the booking service to be running for real search results.
+
+**What I can help with when connected:**
+• Flight searches with multiple airlines
+• Hotel recommendations and pricing
+• Activity and tour suggestions
+• Booking comparisons and reviews
+• Price alerts and booking confirmation
+
+**In the meantime:**
+• Compare prices on multiple booking sites
+• Book directly with airlines for better flexibility
+• Read recent reviews for hotels and activities
+• Consider booking cancellation policies
+
+💡 *For live search results and booking assistance, please start the MCP servers and I'll help you find the best deals!*
+
+What type of booking are you looking for? ✈️🏨"""
+
+def generate_general_response(message: str) -> str:
+    """Generate a general response"""
+    return f"""🧳 **DeepseekTravels Assistant**
+
+Hello! I'm your intelligent travel packing assistant. I can help you with:
+
+🌦️ **Weather-based packing** - I'll check forecasts and recommend appropriate clothing
+📋 **Smart packing lists** - Optimized for your bag size, weight limits, and activities  
+✈️ **Airline restrictions** - Baggage rules and security restrictions
+🏨 **Travel requirements** - Visa info, documents, and country-specific rules
+🎯 **Activity planning** - Business, hiking, beach, formal events, and more
+
+**To get started, try asking:**
+• "What should I pack for a week in Tokyo in November?"
+• "Beach weekend in Lisbon - keep it simple!"
+• "Business trip to Singapore, 28L backpack"
+• "What's the weather like in Paris next week?"
+• "Do I need a visa for Japan?"
+
+**Your message:** "{message}"
+
+💡 *For full functionality including real-time weather, travel requirements, and booking searches, please start the MCP servers using `./start-servers.sh`*
+
+How can I help you plan your next adventure? 🚀"""
+
+@app.get("/health", response_model=HealthResponse)
+async def health_check():
+    """Health check endpoint"""
+    # Check MCP server status
+    mcp_status = {}
+    server_configs = {
+        "weather": "http://127.0.0.1:8009",
+        "attractions": "http://127.0.0.1:8008", 
+        "travel_requirements": "http://127.0.0.1:8010",
+        "booking": "http://127.0.0.1:8011"
+    }
+    
+    async with httpx.AsyncClient(timeout=2.0) as client:
+        for name, url in server_configs.items():
+            try:
+                response = await client.get(f"{url}/health")
+                mcp_status[name] = "connected" if response.status_code == 200 else "error"
+            except:
+                mcp_status[name] = "disconnected"
+    
+    return HealthResponse(
+        status="healthy",
+        agent_ready=True,  # Simplified version is always ready
+        mcp_servers=mcp_status,
+        tools_count=4  # Mock tool count
+    )
+
+@app.get("/servers/status", response_model=ServerStatusResponse)
+async def server_status():
+    """Get detailed server status"""
+    servers = {
+        "weather": {"url": "http://127.0.0.1:8009", "name": "Weather"},
+        "attractions": {"url": "http://127.0.0.1:8008", "name": "Attractions"},
+        "travel_requirements": {"url": "http://127.0.0.1:8010", "name": "Travel Requirements"},
+        "booking": {"url": "http://127.0.0.1:8011", "name": "Booking"}
+    }
+    
+    status_results = {}
+    
+    async with httpx.AsyncClient(timeout=3.0) as client:
+        for key, info in servers.items():
+            try:
+                response = await client.get(f"{info['url']}/health")
+                if response.status_code == 200:
+                    status_results[key] = {
+                        "status": "connected",
+                        "name": info["name"],
+                        "url": info["url"]
+                    }
+                else:
+                    status_results[key] = {
+                        "status": "error",
+                        "name": info["name"],
+                        "url": info["url"],
+                        "error": f"HTTP {response.status_code}"
+                    }
+            except Exception as e:
+                status_results[key] = {
+                    "status": "disconnected",
+                    "name": info["name"],
+                    "url": info["url"],
+                    "error": str(e)
+                }
+    
+    return ServerStatusResponse(servers=status_results)
+
+@app.post("/chat", response_model=ChatResponse)
+async def chat_endpoint(chat_message: ChatMessage):
+    """Main chat endpoint that processes user messages"""
+    try:
+        # Get or create session
+        session_history = get_or_create_session(chat_message.session_id)
+        
+        # Add user message to history
+        session_history.append({
+            "role": "user",
+            "content": chat_message.message,
+            "timestamp": datetime.now().isoformat()
+        })
+        
+        # Generate response (simplified version)
+        response_text = generate_mock_response(chat_message.message)
+        
+        # Add assistant response to history
+        session_history.append({
+            "role": "assistant", 
+            "content": response_text,
+            "timestamp": datetime.now().isoformat()
+        })
+        
+        # Keep only last 20 messages to prevent memory issues
+        if len(session_history) > 20:
+            session_history = session_history[-20:]
+            sessions[chat_message.session_id] = session_history
+        
+        return ChatResponse(
+            response=response_text,
+            session_id=chat_message.session_id,
+            timestamp=datetime.now()
+        )
+        
+    except Exception as e:
+        print(f"❌ Error processing chat message: {e}")
+        raise HTTPException(
+            status_code=500,
+            detail=f"Error processing your request: {str(e)}"
+        )
+
+@app.delete("/sessions/{session_id}")
+async def clear_session(session_id: str):
+    """Clear a conversation session"""
+    if session_id in sessions:
+        del sessions[session_id]
+        return {"message": f"Session {session_id} cleared"}
+    else:
+        raise HTTPException(status_code=404, detail="Session not found")
+
+@app.get("/sessions")
+async def list_sessions():
+    """List all active sessions"""
+    return {"sessions": list(sessions.keys()), "count": len(sessions)}
+
+if __name__ == "__main__":
+    print("🚀 Starting DeepseekTravels API Server (Simplified Mode)...")
+    print("   This version provides mock responses while MCP servers are being set up.")
+    print("   For full functionality, implement LangChain integration.")
+    uvicorn.run(
+        "main_simple:app",
+        host="0.0.0.0",
+        port=8000,
+        reload=True,
+        log_level="info"
+    )
\ No newline at end of file
diff --git a/deepseek-travels-chat/backend/requirements.txt b/deepseek-travels-chat/backend/requirements.txt
new file mode 100644
index 0000000..199b22e
--- /dev/null
+++ b/deepseek-travels-chat/backend/requirements.txt
@@ -0,0 +1,31 @@
+# FastAPI Backend for DeepseekTravels Chat
+
+# Web framework
+fastapi>=0.104.0
+uvicorn[standard]>=0.24.0
+
+# HTTP client for server status checks
+httpx>=0.26.0
+
+# Environment variables
+python-dotenv>=1.0.0
+
+# LangChain and LLM integration (latest versions) 
+langchain>=0.3.27
+langchain-openai>=0.2.8
+langchain-community>=0.3.27
+openai>=1.54.0
+
+# MCP integration
+mcp[cli]>=1.13.1
+langchain-mcp-adapters>=0.1.0
+
+# Data validation
+pydantic>=2.0.0
+
+# Async utilities
+asyncio-mqtt>=0.13.0
+
+# Development
+pytest>=7.4.0
+pytest-asyncio>=0.21.0
\ No newline at end of file
diff --git a/deepseek-travels-chat/env.d.ts b/deepseek-travels-chat/env.d.ts
new file mode 100644
index 0000000..11f02fe
--- /dev/null
+++ b/deepseek-travels-chat/env.d.ts
@@ -0,0 +1 @@
+/// <reference types="vite/client" />
diff --git a/deepseek-travels-chat/eslint.config.ts b/deepseek-travels-chat/eslint.config.ts
new file mode 100644
index 0000000..1c7df8c
--- /dev/null
+++ b/deepseek-travels-chat/eslint.config.ts
@@ -0,0 +1,28 @@
+import { globalIgnores } from 'eslint/config'
+import { defineConfigWithVueTs, vueTsConfigs } from '@vue/eslint-config-typescript'
+import pluginVue from 'eslint-plugin-vue'
+import pluginVitest from '@vitest/eslint-plugin'
+import skipFormatting from '@vue/eslint-config-prettier/skip-formatting'
+
+// To allow more languages other than `ts` in `.vue` files, uncomment the following lines:
+// import { configureVueProject } from '@vue/eslint-config-typescript'
+// configureVueProject({ scriptLangs: ['ts', 'tsx'] })
+// More info at https://github.com/vuejs/eslint-config-typescript/#advanced-setup
+
+export default defineConfigWithVueTs(
+  {
+    name: 'app/files-to-lint',
+    files: ['**/*.{ts,mts,tsx,vue}'],
+  },
+
+  globalIgnores(['**/dist/**', '**/dist-ssr/**', '**/coverage/**']),
+
+  pluginVue.configs['flat/essential'],
+  vueTsConfigs.recommended,
+  
+  {
+    ...pluginVitest.configs.recommended,
+    files: ['src/**/__tests__/*'],
+  },
+  skipFormatting,
+)
diff --git a/deepseek-travels-chat/index.html b/deepseek-travels-chat/index.html
new file mode 100644
index 0000000..9e5fc8f
--- /dev/null
+++ b/deepseek-travels-chat/index.html
@@ -0,0 +1,13 @@
+<!DOCTYPE html>
+<html lang="">
+  <head>
+    <meta charset="UTF-8">
+    <link rel="icon" href="/favicon.ico">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Vite App</title>
+  </head>
+  <body>
+    <div id="app"></div>
+    <script type="module" src="/src/main.ts"></script>
+  </body>
+</html>
diff --git a/deepseek-travels-chat/package-lock.json b/deepseek-travels-chat/package-lock.json
new file mode 100644
index 0000000..73806e0
--- /dev/null
+++ b/deepseek-travels-chat/package-lock.json
@@ -0,0 +1,6173 @@
+{
+  "name": "deepseek-travels-chat",
+  "version": "0.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "deepseek-travels-chat",
+      "version": "0.0.0",
+      "dependencies": {
+        "vue": "^3.5.18",
+        "vue-router": "^4.5.1"
+      },
+      "devDependencies": {
+        "@tsconfig/node22": "^22.0.2",
+        "@types/jsdom": "^21.1.7",
+        "@types/node": "^22.16.5",
+        "@vitejs/plugin-vue": "^6.0.1",
+        "@vitest/eslint-plugin": "^1.3.4",
+        "@vue/eslint-config-prettier": "^10.2.0",
+        "@vue/eslint-config-typescript": "^14.6.0",
+        "@vue/test-utils": "^2.4.6",
+        "@vue/tsconfig": "^0.7.0",
+        "eslint": "^9.31.0",
+        "eslint-plugin-vue": "~10.3.0",
+        "jiti": "^2.4.2",
+        "jsdom": "^26.1.0",
+        "npm-run-all2": "^8.0.4",
+        "prettier": "3.6.2",
+        "typescript": "~5.8.0",
+        "vite": "^7.0.6",
+        "vite-plugin-vue-devtools": "^8.0.0",
+        "vitest": "^3.2.4",
+        "vue-tsc": "^3.0.4"
+      },
+      "engines": {
+        "node": "^20.19.0 || >=22.12.0"
+      }
+    },
+    "node_modules/@asamuzakjp/css-color": {
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+        "@csstools/css-color-parser": "^3.0.9",
+        "@csstools/css-parser-algorithms": "^3.0.4",
+        "@csstools/css-tokenizer": "^3.0.3",
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+      }
+    },
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+        "node": ">=18"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/xml-name-validator": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/xml-name-validator/-/xml-name-validator-4.0.0.tgz",
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+      "version": "2.2.0",
+      "resolved": "https://registry.npmjs.org/xmlchars/-/xmlchars-2.2.0.tgz",
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+      "dev": true
+    },
+    "node_modules/yallist": {
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+      "dev": true
+    },
+    "node_modules/yocto-queue": {
+      "version": "0.1.0",
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+      }
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+    "node_modules/yoctocolors": {
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+      "resolved": "https://registry.npmjs.org/yoctocolors/-/yoctocolors-2.1.2.tgz",
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+}
diff --git a/deepseek-travels-chat/package.json b/deepseek-travels-chat/package.json
new file mode 100644
index 0000000..03ac9c5
--- /dev/null
+++ b/deepseek-travels-chat/package.json
@@ -0,0 +1,45 @@
+{
+  "name": "deepseek-travels-chat",
+  "version": "0.0.0",
+  "private": true,
+  "type": "module",
+  "engines": {
+    "node": "^20.19.0 || >=22.12.0"
+  },
+  "scripts": {
+    "dev": "vite",
+    "build": "run-p type-check \"build-only {@}\" --",
+    "preview": "vite preview",
+    "test:unit": "vitest",
+    "build-only": "vite build",
+    "type-check": "vue-tsc --build",
+    "lint": "eslint . --fix",
+    "format": "prettier --write src/"
+  },
+  "dependencies": {
+    "vue": "^3.5.18",
+    "vue-router": "^4.5.1"
+  },
+  "devDependencies": {
+    "@tsconfig/node22": "^22.0.2",
+    "@types/jsdom": "^21.1.7",
+    "@types/node": "^22.16.5",
+    "@vitejs/plugin-vue": "^6.0.1",
+    "@vitest/eslint-plugin": "^1.3.4",
+    "@vue/eslint-config-prettier": "^10.2.0",
+    "@vue/eslint-config-typescript": "^14.6.0",
+    "@vue/test-utils": "^2.4.6",
+    "@vue/tsconfig": "^0.7.0",
+    "eslint": "^9.31.0",
+    "eslint-plugin-vue": "~10.3.0",
+    "jiti": "^2.4.2",
+    "jsdom": "^26.1.0",
+    "npm-run-all2": "^8.0.4",
+    "prettier": "3.6.2",
+    "typescript": "~5.8.0",
+    "vite": "^7.0.6",
+    "vite-plugin-vue-devtools": "^8.0.0",
+    "vitest": "^3.2.4",
+    "vue-tsc": "^3.0.4"
+  }
+}
diff --git a/deepseek-travels-chat/public/favicon.ico b/deepseek-travels-chat/public/favicon.ico
new file mode 100644
index 0000000..df36fcf
Binary files /dev/null and b/deepseek-travels-chat/public/favicon.ico differ
diff --git a/deepseek-travels-chat/src/App.vue b/deepseek-travels-chat/src/App.vue
new file mode 100644
index 0000000..5d32b27
--- /dev/null
+++ b/deepseek-travels-chat/src/App.vue
@@ -0,0 +1,25 @@
+<script setup lang="ts">
+import ChatInterface from './components/ChatInterface.vue'
+</script>
+
+<template>
+  <ChatInterface />
+</template>
+
+<style>
+* {
+  margin: 0;
+  padding: 0;
+  box-sizing: border-box;
+}
+
+html, body {
+  height: 100%;
+  font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+}
+
+#app {
+  height: 100vh;
+  overflow: hidden;
+}
+</style>
diff --git a/deepseek-travels-chat/src/__tests__/App.spec.ts b/deepseek-travels-chat/src/__tests__/App.spec.ts
new file mode 100644
index 0000000..5b17801
--- /dev/null
+++ b/deepseek-travels-chat/src/__tests__/App.spec.ts
@@ -0,0 +1,11 @@
+import { describe, it, expect } from 'vitest'
+
+import { mount } from '@vue/test-utils'
+import App from '../App.vue'
+
+describe('App', () => {
+  it('mounts renders properly', () => {
+    const wrapper = mount(App)
+    expect(wrapper.text()).toContain('You did it!')
+  })
+})
diff --git a/deepseek-travels-chat/src/components/ChatInterface.vue b/deepseek-travels-chat/src/components/ChatInterface.vue
new file mode 100644
index 0000000..ea47252
--- /dev/null
+++ b/deepseek-travels-chat/src/components/ChatInterface.vue
@@ -0,0 +1,466 @@
+<template>
+  <div class="chat-container">
+    <header class="chat-header">
+      <div class="logo">
+        <h1>🧳 DeepseekTravels</h1>
+        <p>Your intelligent travel packing assistant</p>
+      </div>
+    </header>
+
+    <div class="chat-messages" ref="messagesContainer">
+      <div class="welcome-message" v-if="messages.length === 0">
+        <h2>Welcome to DeepseekTravels! 🌍</h2>
+        <p>I'm your intelligent packing assistant. I can help you:</p>
+        <ul>
+          <li>🌦️ Generate weather-aware packing lists</li>
+          <li>✈️ Check airline baggage restrictions</li>
+          <li>📋 Optimize for capacity and weight limits</li>
+          <li>🏨 Suggest relevant bookings</li>
+          <li>📝 Create simple, printable checklists</li>
+        </ul>
+        <div class="example-prompts">
+          <h3>Try asking:</h3>
+          <button 
+            v-for="example in examplePrompts" 
+            :key="example"
+            @click="sendMessage(example)"
+            class="example-prompt"
+          >
+            {{ example }}
+          </button>
+        </div>
+      </div>
+
+      <div 
+        v-for="message in messages" 
+        :key="message.id"
+        :class="['message', { 'user-message': message.isUser, 'assistant-message': !message.isUser }]"
+      >
+        <div class="message-content">
+          <div class="message-text" v-html="formatMessage(message.content)"></div>
+          <div class="message-time">{{ formatTime(message.timestamp) }}</div>
+        </div>
+        <div v-if="message.isLoading" class="typing-indicator">
+          <div class="dot"></div>
+          <div class="dot"></div>
+          <div class="dot"></div>
+        </div>
+      </div>
+    </div>
+
+    <div class="chat-input-container">
+      <form @submit.prevent="handleSubmit" class="chat-input-form">
+        <input
+          v-model="currentInput"
+          type="text"
+          placeholder="Ask about packing for your next trip..."
+          :disabled="isLoading"
+          class="chat-input"
+          ref="inputRef"
+        />
+        <button 
+          type="submit" 
+          :disabled="isLoading || !currentInput.trim()"
+          class="send-button"
+        >
+          <span v-if="isLoading">⏳</span>
+          <span v-else>🚀</span>
+        </button>
+      </form>
+    </div>
+  </div>
+</template>
+
+<script setup lang="ts">
+import { ref, onMounted, nextTick, computed } from 'vue'
+import type { ChatMessage, MCPServerConfig } from '@/types/chat'
+
+const messages = ref<ChatMessage[]>([])
+const currentInput = ref('')
+const isLoading = ref(false)
+const messagesContainer = ref<HTMLElement>()
+const inputRef = ref<HTMLInputElement>()
+
+const examplePrompts = [
+  "What should I pack for a week in Tokyo in November?",
+  "Beach weekend in Lisbon - keep it simple!",
+  "Business trip to Singapore, 28L backpack",
+  "Patagonia hiking for 10 days, 65L pack"
+]
+
+const formatMessage = (content: string) => {
+  // Convert markdown-like formatting to HTML
+  return content
+    .replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
+    .replace(/\*(.*?)\*/g, '<em>$1</em>')
+    .replace(/\n/g, '<br>')
+    .replace(/• /g, '• ')
+}
+
+const formatTime = (timestamp: Date) => {
+  return timestamp.toLocaleTimeString([], { hour: '2-digit', minute: '2-digit' })
+}
+
+const scrollToBottom = async () => {
+  await nextTick()
+  if (messagesContainer.value) {
+    messagesContainer.value.scrollTop = messagesContainer.value.scrollHeight
+  }
+}
+
+const sendMessage = async (text: string = currentInput.value) => {
+  if (!text.trim() || isLoading.value) return
+
+  const userMessage: ChatMessage = {
+    id: `user-${Date.now()}`,
+    content: text.trim(),
+    isUser: true,
+    timestamp: new Date()
+  }
+
+  messages.value.push(userMessage)
+  currentInput.value = ''
+  isLoading.value = true
+
+  // Add loading message
+  const loadingMessage: ChatMessage = {
+    id: `assistant-${Date.now()}`,
+    content: '',
+    isUser: false,
+    timestamp: new Date(),
+    isLoading: true
+  }
+  messages.value.push(loadingMessage)
+
+  await scrollToBottom()
+
+  try {
+    const response = await fetch('http://localhost:8000/chat', {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify({ message: text.trim() })
+    }).then(res => {
+      if (!res.ok) throw new Error(`Server error: ${res.statusText}`)
+      return res.json()
+    }).then(data => data.response as string);
+    
+    // Remove loading message and add actual response
+    messages.value.pop()
+    
+    const responseMessage: ChatMessage = {
+      id: `assistant-${Date.now()}`,
+      content: response,
+      isUser: false,
+      timestamp: new Date()
+    }
+    
+    messages.value.push(responseMessage)
+  } catch (error) {
+    // Remove loading message and add error message
+    messages.value.pop()
+    
+    const errorMessage: ChatMessage = {
+      id: `error-${Date.now()}`,
+      content: `❌ Sorry, I encountered an error: ${error instanceof Error ? error.message : 'Unknown error'}. Please make sure the MCP servers are running.`,
+      isUser: false,
+      timestamp: new Date()
+    }
+    
+    messages.value.push(errorMessage)
+  } finally {
+    isLoading.value = false
+    await scrollToBottom()
+    inputRef.value?.focus()
+  }
+}
+
+const handleSubmit = () => {
+  sendMessage()
+}
+
+onMounted(() => {
+  inputRef.value?.focus()
+})
+</script>
+
+<style scoped>
+.chat-container {
+  display: flex;
+  flex-direction: column;
+  height: 100vh;
+  max-width: 800px;
+  margin: 0 auto;
+  background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+}
+
+.chat-header {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  padding: 1rem 2rem;
+  background: rgba(255, 255, 255, 0.95);
+  backdrop-filter: blur(10px);
+  border-bottom: 1px solid rgba(0, 0, 0, 0.1);
+}
+
+.logo h1 {
+  margin: 0;
+  color: #2d3748;
+  font-size: 1.5rem;
+}
+
+.logo p {
+  margin: 0;
+  color: #718096;
+  font-size: 0.875rem;
+}
+
+.server-status {
+  display: flex;
+  gap: 0.5rem;
+}
+
+.status-indicator {
+  width: 2rem;
+  height: 2rem;
+  border-radius: 50%;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  font-weight: bold;
+  font-size: 0.75rem;
+  color: white;
+}
+
+.status-indicator.connected {
+  background-color: #48bb78;
+}
+
+.status-indicator.disconnected {
+  background-color: #ed8936;
+}
+
+.status-indicator.error {
+  background-color: #f56565;
+}
+
+.chat-messages {
+  flex: 1;
+  overflow-y: auto;
+  padding: 1rem;
+  display: flex;
+  flex-direction: column;
+  gap: 1rem;
+}
+
+.welcome-message {
+  background: rgba(255, 255, 255, 0.95);
+  padding: 2rem;
+  border-radius: 1rem;
+  box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
+}
+
+.welcome-message h2 {
+  margin-top: 0;
+  color: #2d3748;
+}
+
+.welcome-message ul {
+  color: #4a5568;
+  margin: 1rem 0;
+}
+
+.example-prompts {
+  margin-top: 1.5rem;
+}
+
+.example-prompts h3 {
+  margin-bottom: 0.5rem;
+  color: #2d3748;
+  font-size: 1rem;
+}
+
+.example-prompt {
+  display: block;
+  width: 100%;
+  text-align: left;
+  background: #edf2f7;
+  border: none;
+  padding: 0.75rem 1rem;
+  margin: 0.25rem 0;
+  border-radius: 0.5rem;
+  cursor: pointer;
+  transition: background-color 0.2s;
+  color: #2d3748;
+}
+
+.example-prompt:hover {
+  background: #e2e8f0;
+}
+
+.message {
+  display: flex;
+  max-width: 80%;
+}
+
+.user-message {
+  align-self: flex-end;
+  justify-content: flex-end;
+}
+
+.assistant-message {
+  align-self: flex-start;
+  justify-content: flex-start;
+}
+
+.message-content {
+  background: rgba(255, 255, 255, 0.95);
+  padding: 1rem 1.25rem;
+  border-radius: 1rem;
+  box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
+  max-width: 100%;
+}
+
+.user-message .message-content {
+  background: #4299e1;
+  color: white;
+  border-bottom-right-radius: 0.25rem;
+}
+
+.assistant-message .message-content {
+  border-bottom-left-radius: 0.25rem;
+}
+
+.message-text {
+  line-height: 1.5;
+  word-wrap: break-word;
+}
+
+.message-time {
+  font-size: 0.75rem;
+  opacity: 0.7;
+  margin-top: 0.5rem;
+  text-align: right;
+}
+
+.user-message .message-time {
+  color: rgba(255, 255, 255, 0.8);
+}
+
+.typing-indicator {
+  display: flex;
+  gap: 0.25rem;
+  padding: 1rem 1.25rem;
+  background: rgba(255, 255, 255, 0.95);
+  border-radius: 1rem;
+  box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
+  margin-top: 0.5rem;
+}
+
+.dot {
+  width: 0.5rem;
+  height: 0.5rem;
+  background: #a0aec0;
+  border-radius: 50%;
+  animation: typing 1.4s infinite ease-in-out;
+}
+
+.dot:nth-child(2) {
+  animation-delay: 0.2s;
+}
+
+.dot:nth-child(3) {
+  animation-delay: 0.4s;
+}
+
+@keyframes typing {
+  0%, 60%, 100% {
+    transform: translateY(0);
+    opacity: 0.5;
+  }
+  30% {
+    transform: translateY(-10px);
+    opacity: 1;
+  }
+}
+
+.chat-input-container {
+  padding: 1rem 2rem 2rem;
+  background: rgba(255, 255, 255, 0.95);
+  backdrop-filter: blur(10px);
+}
+
+.chat-input-form {
+  display: flex;
+  gap: 0.75rem;
+  align-items: center;
+}
+
+.chat-input {
+  flex: 1;
+  padding: 0.875rem 1.25rem;
+  border: 2px solid #e2e8f0;
+  border-radius: 2rem;
+  font-size: 1rem;
+  background: white;
+  transition: border-color 0.2s;
+}
+
+.chat-input:focus {
+  outline: none;
+  border-color: #4299e1;
+}
+
+.chat-input:disabled {
+  background: #f7fafc;
+  cursor: not-allowed;
+}
+
+.send-button {
+  width: 3rem;
+  height: 3rem;
+  border: none;
+  border-radius: 50%;
+  background: #4299e1;
+  color: white;
+  font-size: 1.25rem;
+  cursor: pointer;
+  transition: all 0.2s;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+}
+
+.send-button:hover:not(:disabled) {
+  background: #3182ce;
+  transform: scale(1.05);
+}
+
+.send-button:disabled {
+  background: #a0aec0;
+  cursor: not-allowed;
+  transform: none;
+}
+
+@media (max-width: 768px) {
+  .chat-header {
+    padding: 1rem;
+  }
+  
+  .chat-messages {
+    padding: 0.75rem;
+  }
+  
+  .message {
+    max-width: 90%;
+  }
+  
+  .welcome-message {
+    padding: 1.5rem;
+  }
+  
+  .chat-input-container {
+    padding: 1rem;
+  }
+}
+</style>
\ No newline at end of file
diff --git a/deepseek-travels-chat/src/main.ts b/deepseek-travels-chat/src/main.ts
new file mode 100644
index 0000000..c8e37b0
--- /dev/null
+++ b/deepseek-travels-chat/src/main.ts
@@ -0,0 +1,9 @@
+import { createApp } from 'vue'
+import App from './App.vue'
+import router from './router'
+
+const app = createApp(App)
+
+app.use(router)
+
+app.mount('#app')
diff --git a/deepseek-travels-chat/src/router/index.ts b/deepseek-travels-chat/src/router/index.ts
new file mode 100644
index 0000000..e1eab52
--- /dev/null
+++ b/deepseek-travels-chat/src/router/index.ts
@@ -0,0 +1,8 @@
+import { createRouter, createWebHistory } from 'vue-router'
+
+const router = createRouter({
+  history: createWebHistory(import.meta.env.BASE_URL),
+  routes: [],
+})
+
+export default router
diff --git a/deepseek-travels-chat/src/types/chat.ts b/deepseek-travels-chat/src/types/chat.ts
new file mode 100644
index 0000000..8c4f49e
--- /dev/null
+++ b/deepseek-travels-chat/src/types/chat.ts
@@ -0,0 +1,77 @@
+export interface ChatMessage {
+  id: string
+  content: string
+  isUser: boolean
+  timestamp: Date
+  isLoading?: boolean
+}
+
+export interface WeatherData {
+  location: string
+  temperature: number
+  description: string
+  humidity: number
+  windSpeed: number
+  forecast?: DailyForecast[]
+}
+
+export interface DailyForecast {
+  date: string
+  temperatureMax: number
+  temperatureMin: number
+  description: string
+  precipitation: number
+}
+
+export interface TravelRequirements {
+  destination: string
+  visaRequired: boolean
+  vaccinations: string[]
+  securityRestrictions: string[]
+  baggageRules: string[]
+}
+
+export interface PackingItem {
+  name: string
+  category: string
+  quantity: number
+  weight: number
+  volume: number
+  priority: 'essential' | 'recommended' | 'optional'
+  reason: string
+}
+
+export interface PackingListRequest {
+  destination: string
+  duration: number
+  activities: string[]
+  capacityLiters: number
+  maxWeightKg: number
+  airline?: string
+  keepItSimple?: boolean
+}
+
+export interface PackingListResponse {
+  items: PackingItem[]
+  totalWeight: number
+  totalVolume: number
+  capacityUsed: number
+  warnings: string[]
+  suggestions: string[]
+}
+
+export interface BookingOption {
+  type: 'flight' | 'hotel' | 'activity'
+  title: string
+  description: string
+  price: number
+  currency: string
+  provider: string
+  bookingUrl?: string
+}
+
+export interface MCPServerConfig {
+  name: string
+  url: string
+  status: 'connected' | 'disconnected' | 'error'
+}
\ No newline at end of file
diff --git a/deepseek-travels-chat/start-backend.sh b/deepseek-travels-chat/start-backend.sh
new file mode 100644
index 0000000..aeb7d6d
--- /dev/null
+++ b/deepseek-travels-chat/start-backend.sh
@@ -0,0 +1,59 @@
+#!/bin/bash
+
+echo "🚀 Starting DeepseekTravels FastAPI Backend..."
+echo ""
+
+# Check if Python is available
+if ! command -v python &> /dev/null && ! command -v python3 &> /dev/null; then
+    echo "❌ Python is not installed. Please install Python 3.8+ first."
+    exit 1
+fi
+
+# Use python3 if available, otherwise python
+PYTHON_CMD="python3"
+if ! command -v python3 &> /dev/null; then
+    PYTHON_CMD="python"
+fi
+
+echo "Using Python: $PYTHON_CMD"
+
+# Check if we're in the right directory
+if [ ! -f "backend/main.py" ]; then
+    echo "❌ Please run this script from the deepseek-travels-chat directory"
+    exit 1
+fi
+
+# Navigate to backend directory
+cd backend
+
+# Check if virtual environment exists
+if [ ! -d "venv" ]; then
+    echo "📦 Creating virtual environment..."
+    $PYTHON_CMD -m venv venv
+fi
+
+# Activate virtual environment
+echo "🔧 Activating virtual environment..."
+if [[ "$OSTYPE" == "msys" || "$OSTYPE" == "win32" ]]; then
+    source venv/Scripts/activate
+else
+    source venv/bin/activate
+fi
+
+# Install requirements
+echo "📥 Installing dependencies..."
+pip install -r requirements.txt
+
+# Check if .env file exists
+if [ ! -f ".env" ]; then
+    echo "⚠️ No .env file found. Copying from agent directory..."
+    cp ../src/agent/.env .env
+fi
+
+echo ""
+echo "🎯 Starting FastAPI server on http://127.0.0.1:8000"
+echo "   Make sure MCP servers are running first!"
+echo ""
+
+# Start the server
+$PYTHON_CMD main.py
\ No newline at end of file
diff --git a/deepseek-travels-chat/start-servers.sh b/deepseek-travels-chat/start-servers.sh
new file mode 100644
index 0000000..7a0c70e
--- /dev/null
+++ b/deepseek-travels-chat/start-servers.sh
@@ -0,0 +1,74 @@
+#!/bin/bash
+
+echo "🚀 Starting DeepseekTravels MCP Servers..."
+echo ""
+
+# Colors for output
+RED='\033[0;31m'
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+NC='\033[0m' # No Color
+
+# Check if uv is installed
+if ! command -v uv &> /dev/null; then
+    echo -e "${RED}❌ uv is not installed. Please install it first.${NC}"
+    echo "Install with: pip install uv"
+    exit 1
+fi
+
+# Navigate to the MCP directory
+MCP_DIR="../src/mcp"
+
+if [ ! -d "$MCP_DIR" ]; then
+    echo -e "${RED}❌ MCP directory not found at $MCP_DIR${NC}"
+    echo "Make sure you're running this from the deepseek-travels-chat directory"
+    exit 1
+fi
+
+echo -e "${YELLOW}Starting MCP servers in background...${NC}"
+echo ""
+
+# Function to start a server
+start_server() {
+    local server_name=$1
+    local port=$2
+    
+    echo -e "${YELLOW}Starting $server_name server on port $port...${NC}"
+    
+    cd "$MCP_DIR/$server_name-mcp"
+    
+    if [ ! -f "main.py" ]; then
+        echo -e "${RED}❌ main.py not found in $server_name-mcp${NC}"
+        return 1
+    fi
+    
+    # Start server in background
+    nohup uv run main.py > "../../../deepseek-travels-chat/logs/$server_name.log" 2>&1 &
+    echo $! > "../../../deepseek-travels-chat/logs/$server_name.pid"
+    
+    echo -e "${GREEN}✅ $server_name server started (PID: $!)${NC}"
+    cd - > /dev/null
+}
+
+# Create logs directory
+mkdir -p logs
+
+# Start all servers
+start_server "weather" 8009
+start_server "attractions" 8008  
+start_server "travel-requirements" 8010
+start_server "booking" 8011
+
+echo ""
+echo -e "${GREEN}🎉 All MCP servers started!${NC}"
+echo ""
+echo "Server status:"
+echo "• Weather: http://127.0.0.1:8009"
+echo "• Attractions: http://127.0.0.1:8008"
+echo "• Travel Requirements: http://127.0.0.1:8010"
+echo "• Booking: http://127.0.0.1:8011"
+echo ""
+echo "Logs are available in the logs/ directory"
+echo "To stop servers, run: ./stop-servers.sh"
+echo ""
+echo "Now start the Vue app with: npm run dev"
\ No newline at end of file
diff --git a/deepseek-travels-chat/stop-servers.sh b/deepseek-travels-chat/stop-servers.sh
new file mode 100644
index 0000000..0b9adaa
--- /dev/null
+++ b/deepseek-travels-chat/stop-servers.sh
@@ -0,0 +1,44 @@
+#!/bin/bash
+
+echo "🛑 Stopping DeepseekTravels MCP Servers..."
+echo ""
+
+# Colors for output
+RED='\033[0;31m'
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+NC='\033[0m' # No Color
+
+# Function to stop a server
+stop_server() {
+    local server_name=$1
+    local pid_file="logs/$server_name.pid"
+    
+    if [ -f "$pid_file" ]; then
+        local pid=$(cat "$pid_file")
+        if kill -0 "$pid" 2>/dev/null; then
+            kill "$pid"
+            echo -e "${GREEN}✅ Stopped $server_name server (PID: $pid)${NC}"
+        else
+            echo -e "${YELLOW}⚠️ $server_name server was not running${NC}"
+        fi
+        rm -f "$pid_file"
+    else
+        echo -e "${YELLOW}⚠️ No PID file found for $server_name${NC}"
+    fi
+}
+
+# Stop all servers
+stop_server "weather"
+stop_server "attractions"
+stop_server "travel-requirements" 
+stop_server "booking"
+
+echo ""
+echo -e "${GREEN}🎉 All MCP servers stopped!${NC}"
+
+# Clean up logs directory if empty
+if [ -d "logs" ] && [ -z "$(ls -A logs)" ]; then
+    rmdir logs
+    echo "Cleaned up empty logs directory"
+fi
\ No newline at end of file
diff --git a/deepseek-travels-chat/tsconfig.app.json b/deepseek-travels-chat/tsconfig.app.json
new file mode 100644
index 0000000..913b8f2
--- /dev/null
+++ b/deepseek-travels-chat/tsconfig.app.json
@@ -0,0 +1,12 @@
+{
+  "extends": "@vue/tsconfig/tsconfig.dom.json",
+  "include": ["env.d.ts", "src/**/*", "src/**/*.vue"],
+  "exclude": ["src/**/__tests__/*"],
+  "compilerOptions": {
+    "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.app.tsbuildinfo",
+
+    "paths": {
+      "@/*": ["./src/*"]
+    }
+  }
+}
diff --git a/deepseek-travels-chat/tsconfig.json b/deepseek-travels-chat/tsconfig.json
new file mode 100644
index 0000000..100cf6a
--- /dev/null
+++ b/deepseek-travels-chat/tsconfig.json
@@ -0,0 +1,14 @@
+{
+  "files": [],
+  "references": [
+    {
+      "path": "./tsconfig.node.json"
+    },
+    {
+      "path": "./tsconfig.app.json"
+    },
+    {
+      "path": "./tsconfig.vitest.json"
+    }
+  ]
+}
diff --git a/deepseek-travels-chat/tsconfig.node.json b/deepseek-travels-chat/tsconfig.node.json
new file mode 100644
index 0000000..a83dfc9
--- /dev/null
+++ b/deepseek-travels-chat/tsconfig.node.json
@@ -0,0 +1,19 @@
+{
+  "extends": "@tsconfig/node22/tsconfig.json",
+  "include": [
+    "vite.config.*",
+    "vitest.config.*",
+    "cypress.config.*",
+    "nightwatch.conf.*",
+    "playwright.config.*",
+    "eslint.config.*"
+  ],
+  "compilerOptions": {
+    "noEmit": true,
+    "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.node.tsbuildinfo",
+
+    "module": "ESNext",
+    "moduleResolution": "Bundler",
+    "types": ["node"]
+  }
+}
diff --git a/deepseek-travels-chat/tsconfig.vitest.json b/deepseek-travels-chat/tsconfig.vitest.json
new file mode 100644
index 0000000..7d1d8ce
--- /dev/null
+++ b/deepseek-travels-chat/tsconfig.vitest.json
@@ -0,0 +1,11 @@
+{
+  "extends": "./tsconfig.app.json",
+  "include": ["src/**/__tests__/*", "env.d.ts"],
+  "exclude": [],
+  "compilerOptions": {
+    "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.vitest.tsbuildinfo",
+
+    "lib": [],
+    "types": ["node", "jsdom"]
+  }
+}
diff --git a/deepseek-travels-chat/vite.config.ts b/deepseek-travels-chat/vite.config.ts
new file mode 100644
index 0000000..4217010
--- /dev/null
+++ b/deepseek-travels-chat/vite.config.ts
@@ -0,0 +1,18 @@
+import { fileURLToPath, URL } from 'node:url'
+
+import { defineConfig } from 'vite'
+import vue from '@vitejs/plugin-vue'
+import vueDevTools from 'vite-plugin-vue-devtools'
+
+// https://vite.dev/config/
+export default defineConfig({
+  plugins: [
+    vue(),
+    vueDevTools(),
+  ],
+  resolve: {
+    alias: {
+      '@': fileURLToPath(new URL('./src', import.meta.url))
+    },
+  },
+})
diff --git a/deepseek-travels-chat/vitest.config.ts b/deepseek-travels-chat/vitest.config.ts
new file mode 100644
index 0000000..c328717
--- /dev/null
+++ b/deepseek-travels-chat/vitest.config.ts
@@ -0,0 +1,14 @@
+import { fileURLToPath } from 'node:url'
+import { mergeConfig, defineConfig, configDefaults } from 'vitest/config'
+import viteConfig from './vite.config'
+
+export default mergeConfig(
+  viteConfig,
+  defineConfig({
+    test: {
+      environment: 'jsdom',
+      exclude: [...configDefaults.exclude, 'e2e/**'],
+      root: fileURLToPath(new URL('./', import.meta.url)),
+    },
+  }),
+)
diff --git a/src/agent/README.md b/src/agent/README.md
index 43e3708..2aa45d4 100644
--- a/src/agent/README.md
+++ b/src/agent/README.md
@@ -27,6 +27,11 @@ AZURE_API_VERSION=2024-12-01-preview
 DEPLOYMENT_NAME=
 ATTRACTIONS_MCP_URL=http://127.0.0.1:8008/mcp/
 WEATHER_MCP_URL=http://127.0.0.1:8009/mcp/
+TRAVEL_REQUIREMENTS_MCP_URL=http://127.0.0.1:8010/mcp/
+BOOKING_MCP_URL=http://127.0.0.1:8011/mcp/
+
+DEEPSEEKTRAVELS_OFFLINE=true
+DEEPSEEKTRAVELS_USE_MOCKS=true
 ```
 
 You can get these credentials from:
diff --git a/src/agent/packing_engine.py b/src/agent/packing_engine.py
new file mode 100644
index 0000000..e464ee6
--- /dev/null
+++ b/src/agent/packing_engine.py
@@ -0,0 +1,398 @@
+"""
+Packing Engine - Core logic for generating travel packing lists
+
+This module contains the main algorithms and rules for:
+- Trip length scaling 
+- Weather adaptation
+- Activity-based items
+- Transport constraints  
+- Capacity/weight fitting
+"""
+
+import math
+from typing import List, Dict, Any, Tuple
+from datetime import datetime, timedelta
+from packing_models import (
+    PackingListItem, PackingListRequest, PackingListResponse, TripParameters,
+    PackingConstraints, WeatherForecast, SafetyStatus, Priority, WeightClass,
+    ActivityType, WeatherCondition, CategorySummary, CapacityAnalysis
+)
+
+class PackingEngine:
+    """Core packing list generation engine"""
+    
+    def __init__(self):
+        self.base_items = self._load_base_items()
+        self.activity_items = self._load_activity_items()
+        self.weather_items = self._load_weather_items()
+        
+    def generate_packing_list(self, request: PackingListRequest) -> PackingListResponse:
+        """Generate a complete packing list based on request parameters"""
+        
+        # Step 1: Generate base items with trip length scaling
+        items = self._generate_base_items(request.trip_parameters, request.constraints)
+        
+        # Step 2: Add weather-specific items
+        if request.weather_forecast:
+            weather_items = self._generate_weather_items(request.weather_forecast, request.trip_parameters)
+            items.extend(weather_items)
+        
+        # Step 3: Add activity-specific items
+        activity_items = self._generate_activity_items(request.trip_parameters)
+        items.extend(activity_items)
+        
+        # Step 4: Apply transport constraints and security restrictions
+        items = self._apply_transport_constraints(items, request.constraints)
+        
+        # Step 5: Fit within capacity and weight constraints
+        items, violations = self._fit_constraints(items, request.constraints)
+        
+        # Step 6: Calculate totals and analysis
+        total_weight = sum(item.estimated_weight_g for item in items)
+        total_volume = sum(item.estimated_volume_ml for item in items)
+        
+        # Step 7: Generate category summaries
+        category_summaries = self._generate_category_summaries(items)
+        
+        return PackingListResponse(
+            items=items,
+            total_estimated_weight_g=total_weight,
+            total_estimated_volume_ml=total_volume,
+            fits_constraints=len(violations) == 0,
+            constraint_violations=violations,
+            category_summaries=category_summaries,
+            generation_mode="full"
+        )
+    
+    def _generate_base_items(self, trip: TripParameters, constraints: PackingConstraints) -> List[PackingListItem]:
+        """Generate base items with trip length scaling"""
+        items = []
+        
+        # Clothing items with trip length scaling
+        clothing_items = [
+            ("underwear", 30, 10, "essential daily item", Priority.ESSENTIAL),
+            ("socks", 25, 15, "essential daily item", Priority.ESSENTIAL), 
+            ("t-shirt", 150, 200, "basic clothing", Priority.ESSENTIAL),
+            ("pants/jeans", 400, 800, "basic clothing", Priority.ESSENTIAL),
+            ("sweater/hoodie", 300, 600, "layering piece", Priority.IMPORTANT),
+            ("sleepwear", 100, 150, "comfort item", Priority.IMPORTANT),
+        ]
+        
+        for name, weight_g, volume_ml, reason, priority in clothing_items:
+            # Scale quantity based on trip length and laundry access
+            if name in ["underwear", "socks"]:
+                # Daily items - scale with laundry access
+                base_qty = min(trip.trip_length_days, 7) if constraints.has_laundry_access else trip.trip_length_days
+                quantity = max(3, min(base_qty, 10))  # At least 3, max 10
+            elif name in ["t-shirt"]:
+                # Scale shirts with diminishing returns
+                quantity = max(2, math.ceil(trip.trip_length_days / 3)) if constraints.has_laundry_access else math.ceil(trip.trip_length_days / 2)
+                quantity = min(quantity, 6)
+            else:
+                # Other clothing - minimal scaling
+                quantity = 1 if trip.trip_length_days <= 3 else 2
+                
+            items.append(PackingListItem(
+                name=name,
+                category="clothing",
+                quantity=quantity,
+                estimated_weight_g=weight_g * quantity,
+                estimated_volume_ml=volume_ml * quantity,
+                safety_status=SafetyStatus.SAFE,
+                priority=priority,
+                weight_class=self._calculate_weight_class(weight_g * quantity),
+                reason=f"{reason} (quantity for {trip.trip_length_days} days)",
+                source_rule="base_clothing_with_trip_scaling"
+            ))
+        
+        # Essential non-clothing items
+        essential_items = [
+            ("passport", 50, 20, "required travel document", "documents", Priority.ESSENTIAL),
+            ("phone", 150, 100, "essential communication", "electronics", Priority.ESSENTIAL),
+            ("phone charger", 100, 80, "essential for phone", "electronics", Priority.ESSENTIAL),
+            ("toothbrush", 20, 30, "basic hygiene", "toiletries", Priority.ESSENTIAL),
+            ("toothpaste", 100, 75, "basic hygiene", "toiletries", Priority.ESSENTIAL),
+            ("medications", 50, 50, "health maintenance", "health", Priority.ESSENTIAL),
+        ]
+        
+        for name, weight_g, volume_ml, reason, category, priority in essential_items:
+            items.append(PackingListItem(
+                name=name,
+                category=category,
+                quantity=1,
+                estimated_weight_g=weight_g,
+                estimated_volume_ml=volume_ml,
+                safety_status=SafetyStatus.SAFE,
+                priority=priority,
+                weight_class=self._calculate_weight_class(weight_g),
+                reason=reason,
+                source_rule="base_essentials"
+            ))
+        
+        return items
+    
+    def _generate_weather_items(self, weather: WeatherForecast, trip: TripParameters) -> List[PackingListItem]:
+        """Generate weather-specific items"""
+        items = []
+        
+        # Temperature-based items
+        temp_min = weather.temperature_range_c.get("min", 15)
+        temp_max = weather.temperature_range_c.get("max", 25)
+        
+        if temp_max > 25:  # Hot weather
+            hot_items = [
+                ("sunglasses", 50, 100, "UV protection in hot weather", Priority.IMPORTANT),
+                ("sunscreen", 100, 75, "essential UV protection", Priority.ESSENTIAL),
+                ("hat/cap", 80, 200, "sun protection", Priority.IMPORTANT),
+                ("shorts", 120, 150, "comfortable in heat", Priority.IMPORTANT),
+            ]
+            for name, weight_g, volume_ml, reason, priority in hot_items:
+                items.append(PackingListItem(
+                    name=name, category="weather_gear", quantity=1,
+                    estimated_weight_g=weight_g, estimated_volume_ml=volume_ml,
+                    safety_status=SafetyStatus.SAFE, priority=priority,
+                    weight_class=self._calculate_weight_class(weight_g),
+                    reason=reason, source_rule="hot_weather_adaptation"
+                ))
+        
+        if temp_min < 10:  # Cold weather  
+            cold_items = [
+                ("warm jacket", 600, 1200, "essential warmth in cold", Priority.ESSENTIAL),
+                ("gloves", 50, 100, "hand protection from cold", Priority.IMPORTANT),
+                ("warm hat/beanie", 40, 80, "head warmth", Priority.IMPORTANT),
+                ("scarf", 100, 150, "neck warmth", Priority.IMPORTANT),
+            ]
+            for name, weight_g, volume_ml, reason, priority in cold_items:
+                items.append(PackingListItem(
+                    name=name, category="weather_gear", quantity=1,
+                    estimated_weight_g=weight_g, estimated_volume_ml=volume_ml,
+                    safety_status=SafetyStatus.SAFE, priority=priority,
+                    weight_class=self._calculate_weight_class(weight_g),
+                    reason=reason, source_rule="cold_weather_adaptation"
+                ))
+        
+        # Precipitation items
+        if weather.precipitation_probability > 0.3 or WeatherCondition.RAINY in weather.conditions:
+            rain_items = [
+                ("rain jacket/poncho", 200, 300, "protection from rain", Priority.IMPORTANT),
+                ("umbrella", 300, 400, "rain protection", Priority.IMPORTANT),
+            ]
+            for name, weight_g, volume_ml, reason, priority in rain_items:
+                items.append(PackingListItem(
+                    name=name, category="weather_gear", quantity=1,
+                    estimated_weight_g=weight_g, estimated_volume_ml=volume_ml,
+                    safety_status=SafetyStatus.SAFE, priority=priority,
+                    weight_class=self._calculate_weight_class(weight_g),
+                    reason=reason, source_rule="rain_weather_adaptation"
+                ))
+        
+        return items
+    
+    def _generate_activity_items(self, trip: TripParameters) -> List[PackingListItem]:
+        """Generate activity-specific items"""
+        items = []
+        
+        for activity in trip.activities:
+            activity_items = self.activity_items.get(activity, [])
+            
+            for name, weight_g, volume_ml, reason, category, priority in activity_items:
+                items.append(PackingListItem(
+                    name=name, category=category, quantity=1,
+                    estimated_weight_g=weight_g, estimated_volume_ml=volume_ml,
+                    safety_status=SafetyStatus.SAFE, priority=Priority(priority),
+                    weight_class=self._calculate_weight_class(weight_g),
+                    reason=f"{reason} (for {activity.value} activities)",
+                    source_rule=f"activity_{activity.value}"
+                ))
+        
+        # Time-of-day specific items
+        if "night" in trip.time_of_day_activities:
+            night_items = [
+                ("flashlight/headlamp", 100, 80, "visibility in dark", "accessories", Priority.IMPORTANT),
+                ("evening wear", 200, 400, "appropriate night attire", "clothing", Priority.NICE_TO_HAVE),
+            ]
+            for name, weight_g, volume_ml, reason, category, priority in night_items:
+                items.append(PackingListItem(
+                    name=name, category=category, quantity=1,
+                    estimated_weight_g=weight_g, estimated_volume_ml=volume_ml,
+                    safety_status=SafetyStatus.SAFE, priority=Priority(priority),
+                    weight_class=self._calculate_weight_class(weight_g),
+                    reason=reason, source_rule="night_time_activities"
+                ))
+        
+        return items
+    
+    def _apply_transport_constraints(self, items: List[PackingListItem], constraints: PackingConstraints) -> List[PackingListItem]:
+        """Apply airline and transport-specific constraints"""
+        modified_items = []
+        
+        for item in items:
+            # Apply liquid restrictions (3-1-1 rule)
+            if constraints.liquid_restrictions and item.category == "toiletries" and "liquid" in item.name.lower():
+                # Replace large liquids with travel sizes
+                if item.estimated_volume_ml > 100:
+                    item.name = f"travel-size {item.name}"
+                    item.estimated_volume_ml = min(100, item.estimated_volume_ml)
+                    item.estimated_weight_g = int(item.estimated_weight_g * 0.6)  # Travel size is lighter
+                    item.reason += " (travel-size for liquid restrictions)"
+                    item.restrictions = "Must fit in 3-1-1 liquid bag"
+            
+            # Check for potentially restricted items
+            restricted_keywords = ["knife", "blade", "battery", "lighter", "scissors"]
+            if any(keyword in item.name.lower() for keyword in restricted_keywords):
+                item.safety_status = SafetyStatus.RESTRICTED
+                item.restrictions = "Check airline/TSA restrictions before packing"
+            
+            modified_items.append(item)
+        
+        return modified_items
+    
+    def _fit_constraints(self, items: List[PackingListItem], constraints: PackingConstraints) -> Tuple[List[PackingListItem], List[str]]:
+        """Fit items within capacity and weight constraints using greedy + knapsack approach"""
+        violations = []
+        
+        # If no constraints, return all items
+        if not constraints.capacity_liters and not constraints.max_weight_kg:
+            return items, violations
+        
+        # Convert capacity to ml for comparison
+        capacity_ml = constraints.capacity_liters * 1000 if constraints.capacity_liters else float('inf')
+        max_weight_g = constraints.max_weight_kg * 1000 if constraints.max_weight_kg else float('inf')
+        
+        # Calculate current totals
+        total_volume = sum(item.estimated_volume_ml for item in items)
+        total_weight = sum(item.estimated_weight_g for item in items)
+        
+        # Check if we exceed constraints
+        exceeds_volume = total_volume > capacity_ml
+        exceeds_weight = total_weight > max_weight_g
+        
+        if not exceeds_volume and not exceeds_weight:
+            return items, violations  # All items fit
+        
+        # Need to remove items - use value-based greedy approach
+        # Sort by value/volume ratio (priority score / volume)
+        priority_scores = {
+            Priority.ESSENTIAL: 100,
+            Priority.IMPORTANT: 70,
+            Priority.NICE_TO_HAVE: 40,
+            Priority.LUXURY: 10
+        }
+        
+        # Calculate value density for each item
+        valued_items = []
+        for item in items:
+            priority_score = priority_scores[item.priority]
+            volume_penalty = item.estimated_volume_ml
+            weight_penalty = item.estimated_weight_g * 0.001  # Convert to lighter penalty
+            
+            # Higher priority and lower volume/weight = higher value density
+            value_density = priority_score / (volume_penalty + weight_penalty)
+            valued_items.append((item, value_density))
+        
+        # Sort by value density (highest first)
+        valued_items.sort(key=lambda x: x[1], reverse=True)
+        
+        # Greedy selection within constraints
+        selected_items = []
+        running_volume = 0
+        running_weight = 0
+        
+        for item, value_density in valued_items:
+            new_volume = running_volume + item.estimated_volume_ml
+            new_weight = running_weight + item.estimated_weight_g
+            
+            # Include item if it fits within constraints
+            if new_volume <= capacity_ml and new_weight <= max_weight_g:
+                selected_items.append(item)
+                running_volume = new_volume
+                running_weight = new_weight
+            else:
+                # Record what was removed and why
+                violated_constraint = []
+                if new_volume > capacity_ml:
+                    violated_constraint.append(f"volume limit ({capacity_ml/1000:.1f}L)")
+                if new_weight > max_weight_g:
+                    violated_constraint.append(f"weight limit ({max_weight_g/1000:.1f}kg)")
+                
+                violations.append(f"Removed '{item.name}' - exceeds {', '.join(violated_constraint)}")
+        
+        return selected_items, violations
+    
+    def _generate_category_summaries(self, items: List[PackingListItem]) -> Dict[str, Dict[str, Any]]:
+        """Generate summary statistics by category"""
+        categories = {}
+        
+        for item in items:
+            if item.category not in categories:
+                categories[item.category] = {
+                    "item_count": 0,
+                    "total_weight_g": 0,
+                    "total_volume_ml": 0,
+                    "priorities": {},
+                    "safety_statuses": {}
+                }
+            
+            cat = categories[item.category]
+            cat["item_count"] += 1
+            cat["total_weight_g"] += item.estimated_weight_g
+            cat["total_volume_ml"] += item.estimated_volume_ml
+            
+            # Track priority distribution
+            priority_str = item.priority.value
+            cat["priorities"][priority_str] = cat["priorities"].get(priority_str, 0) + 1
+            
+            # Track safety status distribution
+            safety_str = item.safety_status.value
+            cat["safety_statuses"][safety_str] = cat["safety_statuses"].get(safety_str, 0) + 1
+        
+        return categories
+    
+    def _calculate_weight_class(self, weight_g: int) -> WeightClass:
+        """Calculate weight class based on weight in grams"""
+        if weight_g < 50:
+            return WeightClass.NEGLIGIBLE
+        elif weight_g < 200:
+            return WeightClass.LIGHT
+        elif weight_g < 500:
+            return WeightClass.MEDIUM
+        elif weight_g < 1000:
+            return WeightClass.HEAVY
+        else:
+            return WeightClass.VERY_HEAVY
+    
+    def _load_base_items(self) -> Dict[str, Any]:
+        """Load base item database - in a real system this might come from a file/DB"""
+        return {}  # Defined inline in generation methods for now
+    
+    def _load_activity_items(self) -> Dict[ActivityType, List[Tuple]]:
+        """Load activity-specific items database"""
+        return {
+            ActivityType.BUSINESS: [
+                ("business suit", 800, 1500, "professional appearance", "clothing", "important"),
+                ("dress shoes", 600, 800, "professional footwear", "clothing", "important"),
+                ("laptop", 1500, 2000, "work requirements", "electronics", "essential"),
+                ("business cards", 20, 10, "networking", "accessories", "important"),
+            ],
+            ActivityType.HIKING: [
+                ("hiking boots", 800, 1200, "foot protection and grip", "clothing", "essential"),
+                ("hiking backpack", 1200, 2500, "gear transport", "accessories", "essential"),
+                ("water bottle", 200, 500, "hydration during hikes", "accessories", "essential"),
+                ("first aid kit", 300, 400, "emergency medical care", "health", "important"),
+            ],
+            ActivityType.BEACH: [
+                ("swimwear", 100, 150, "beach activities", "clothing", "essential"),
+                ("beach towel", 400, 800, "drying and comfort", "accessories", "important"),
+                ("flip flops", 200, 400, "beach footwear", "clothing", "important"),
+                ("beach bag", 200, 1000, "carrying beach items", "accessories", "nice-to-have"),
+            ],
+            ActivityType.FORMAL: [
+                ("formal dress/suit", 600, 1200, "formal events", "clothing", "essential"),
+                ("dress shoes", 600, 800, "formal footwear", "clothing", "essential"),
+                ("formal accessories", 100, 100, "completing formal look", "accessories", "important"),
+            ]
+        }
+    
+    def _load_weather_items(self) -> Dict[str, Any]:
+        """Load weather-specific items database"""
+        return {}  # Defined inline in generation methods for now
\ No newline at end of file
diff --git a/src/agent/packing_list.ipynb b/src/agent/packing_list.ipynb
new file mode 100644
index 0000000..0360551
--- /dev/null
+++ b/src/agent/packing_list.ipynb
@@ -0,0 +1,574 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4c101afe",
+   "metadata": {},
+   "source": [
+    "# DeepseekTravels - Packing List Agent\n",
+    "\n",
+    "This notebook demonstrates a LangChain agent integrated with MCP (Model Context Protocol) tools for generating intelligent travel packing lists. The agent uses Azure OpenAI and integrates with weather, travel requirements, and booking services.\n",
+    "\n",
+    "## Features\n",
+    "- Weather-aware packing recommendations  \n",
+    "- Trip length and activity-based scaling\n",
+    "- Airline baggage and security restrictions\n",
+    "- Capacity and weight constraint optimization\n",
+    "- Booking suggestions with confirmation flow\n",
+    "- Keep-it-simple mode for quick checklists\n",
+    "\n",
+    "**Phase 1**: All MCP servers run in offline/mock mode - no external HTTP calls."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "59dfcc6d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Cell 0: Environment Check - Ensure virtual environment is being used\n",
+    "import sys, shutil\n",
+    "print(\"python:\", sys.executable)\n",
+    "print(\"uv:\", shutil.which(\"uv\"))\n",
+    "print(\"\")\n",
+    "print(\"✅ Environment check complete - should show .venv path for this project\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d5aee23d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Cell 1: Install Dependencies\n",
+    "# Install uv package manager and all required dependencies\n",
+    "%pip install -U uv\n",
+    "!uv pip install -r packing_requirements.txt\n",
+    "print(\"\")\n",
+    "print(\"✅ All dependencies installed successfully!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "22477252",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Cell 2: Imports and Setup\n",
+    "import os\n",
+    "from dotenv import load_dotenv\n",
+    "import asyncio\n",
+    "import json\n",
+    "from typing import Dict, Any, List\n",
+    "from datetime import datetime, date\n",
+    "\n",
+    "# LangChain imports\n",
+    "from langchain_openai import AzureChatOpenAI\n",
+    "from langchain_core.messages import HumanMessage, SystemMessage\n",
+    "from langchain.agents import AgentExecutor, create_tool_calling_agent\n",
+    "from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
+    "from langchain.memory import ConversationBufferMemory\n",
+    "\n",
+    "# Official MCP adapter imports for HTTP transport\n",
+    "from langchain_mcp_adapters.client import MultiServerMCPClient\n",
+    "from langchain_mcp_adapters.tools import load_mcp_tools\n",
+    "\n",
+    "# Load environment variables for DeepseekTravels\n",
+    "load_dotenv('.env')\n",
+    "\n",
+    "# Verify offline mode is enforced\n",
+    "offline_mode = os.getenv('DEEPSEEKTRAVELS_OFFLINE', 'true').lower() == 'true'\n",
+    "use_mocks = os.getenv('DEEPSEEKTRAVELS_USE_MOCKS', 'true').lower() == 'true'\n",
+    "\n",
+    "print(f\"🛂 DeepseekTravels Configuration:\")\n",
+    "print(f\"   Offline Mode: {offline_mode}\")\n",
+    "print(f\"   Use Mocks: {use_mocks}\")\n",
+    "print(f\"   Phase 1: {'✅ Enforced' if offline_mode and use_mocks else '❌ Live mode detected!'}\")\n",
+    "print(\"\")\n",
+    "print(\"✅ DeepseekTravels imports and configuration loaded successfully!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ad92b6eb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Cell 3: MCP Client Configuration\n",
+    "# Configure MCP clients for multiple servers (weather, attractions, travel-requirements, booking)\n",
+    "\n",
+    "# Global MCP client\n",
+    "mcp_client = None\n",
+    "\n",
+    "async def create_mcp_tools():\n",
+    "    \"\"\"Create MCP tools using the official LangChain MCP adapter with HTTP transport\"\"\"\n",
+    "    global mcp_client\n",
+    "    \n",
+    "    try:\n",
+    "        # Define MCP server configurations\n",
+    "        server_configs = {\n",
+    "            \"weather\": {\n",
+    "                \"transport\": \"streamable_http\",\n",
+    "                \"url\": os.getenv(\"WEATHER_MCP_URL\", \"http://127.0.0.1:8009/mcp/\")\n",
+    "            },\n",
+    "            \"attractions\": {\n",
+    "                \"transport\": \"streamable_http\",\n",
+    "                \"url\": os.getenv(\"ATTRACTIONS_MCP_URL\", \"http://127.0.0.1:8008/mcp/\")\n",
+    "            },\n",
+    "            \"travel_requirements\": {\n",
+    "                \"transport\": \"streamable_http\",\n",
+    "                \"url\": os.getenv(\"TRAVEL_REQUIREMENTS_MCP_URL\", \"http://127.0.0.1:8010/mcp/\")\n",
+    "            },\n",
+    "            \"booking\": {\n",
+    "                \"transport\": \"streamable_http\",\n",
+    "                \"url\": os.getenv(\"BOOKING_MCP_URL\", \"http://127.0.0.1:8011/mcp/\")\n",
+    "            }\n",
+    "        }\n",
+    "        \n",
+    "        print(\"🔗 Connecting to MCP servers...\")\n",
+    "        for name, config in server_configs.items():\n",
+    "            print(f\"   • {name}: {config['url']}\")\n",
+    "        \n",
+    "        # Create the multi-server MCP client\n",
+    "        mcp_client = MultiServerMCPClient(server_configs)\n",
+    "        \n",
+    "        # Get available tools from all servers\n",
+    "        tools = await mcp_client.get_tools()\n",
+    "        \n",
+    "        print(f\"\")\n",
+    "        print(f\"🛠️  Loaded {len(tools)} tools from {len(server_configs)} MCP servers\")\n",
+    "        \n",
+    "        return tools\n",
+    "        \n",
+    "    except Exception as e:\n",
+    "        print(f\"❌ Error connecting to MCP servers: {e}\")\n",
+    "        print(\"   Make sure all MCP servers are running:\")\n",
+    "        for name, config in server_configs.items():\n",
+    "            print(f\"   • {name}: uv run main.py (in src/mcp/{name.replace('_', '-')}-mcp/)\")\n",
+    "        raise\n",
+    "\n",
+    "print(\"✅ MCP client configuration ready!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "63aa6085",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Cell 4: DeepseekTravels Agent Setup\n",
+    "# Initialize the LangChain agent with Azure OpenAI and MCP tools\n",
+    "\n",
+    "# Global agent components\n",
+    "agent_executor = None\n",
+    "tools = []\n",
+    "\n",
+    "# DeepseekTravels System Prompt\n",
+    "DEEPSEEKTRAVELS_SYSTEM_PROMPT = \"\"\"\n",
+    "You are DeepseekTravels, an intelligent travel packing assistant. Your goal is to generate optimized packing lists that consider:\n",
+    "\n",
+    "CORE RESPONSIBILITIES:\n",
+    "• Generate comprehensive packing lists based on destination, weather, activities, and trip length\n",
+    "• Respect capacity constraints (backpack volume, weight limits) and airline restrictions\n",
+    "• Integrate weather forecasts to recommend appropriate clothing and gear\n",
+    "• Check security restrictions and baggage rules for specific airlines/routes\n",
+    "• Suggest relevant bookings (flights, hotels, activities) with explicit confirmation required\n",
+    "• Provide keep-it-simple mode for concise, printable checklists\n",
+    "\n",
+    "TOOL USAGE ORDER:\n",
+    "1. Get weather forecast for destination and dates\n",
+    "2. Check travel requirements (visas, documents, security restrictions) \n",
+    "3. Check airline baggage rules if airline specified\n",
+    "4. Generate packing list considering all factors\n",
+    "5. For bookings: search → present summary → get explicit confirmation → book\n",
+    "\n",
+    "CONSTRAINTS HANDLING:\n",
+    "• Always ask for capacity (L), max weight (kg), airline, and activity types if not provided\n",
+    "• Scale clothing quantities based on trip length and laundry access\n",
+    "• Remove/replace items to fit within capacity using priority-based selection\n",
+    "• Replace large liquids with travel sizes for airline compliance\n",
+    "• Flag restricted items and suggest alternatives\n",
+    "\n",
+    "BOOKING CONFIRMATION GATES:\n",
+    "• NEVER book without explicit user confirmation\n",
+    "• Present structured summary: item, price, dates, cancellation policy\n",
+    "• Ask \"Shall I proceed with this booking?\" before calling confirm_booking\n",
+    "• Use hold_booking first, then confirm_booking only after user approval\n",
+    "\n",
+    "SCOPE GUARDRAILS:\n",
+    "• Focus ONLY on travel planning and packing\n",
+    "• Refuse non-travel requests politely: \"I specialize in travel packing assistance\"\n",
+    "• No medical/legal advice beyond linking to official sources\n",
+    "• Emphasize mock data warnings in Phase 1\n",
+    "\n",
+    "TOKEN EFFICIENCY:\n",
+    "• Batch parallel tool calls where possible (weather + requirements)\n",
+    "• Use structured, terse outputs in keep-it-simple mode\n",
+    "• Summarize long tool results focusing on actionable information\n",
+    "• Limit tool calls per turn (≤4 unless critical)\n",
+    "\n",
+    "OUTPUT FORMAT:\n",
+    "• Use clear categories: Clothing, Electronics, Toiletries, Documents, etc.\n",
+    "• Show quantities, estimated weight/volume, and rationale\n",
+    "• Highlight essential vs. nice-to-have items\n",
+    "• Include capacity analysis: \"Uses 18L of your 28L backpack (64%)\"\n",
+    "• End with key reminders and any restriction warnings\n",
+    "\n",
+    "Remember: You are helpful, thorough, and safety-conscious while respecting user constraints and preferences.\n",
+    "\"\"\"\n",
+    "\n",
+    "async def setup_agent():\n",
+    "    \"\"\"Setup the DeepseekTravels agent with Azure OpenAI and MCP tools\"\"\"\n",
+    "    global agent_executor, tools\n",
+    "    \n",
+    "    try:\n",
+    "        # Load MCP tools\n",
+    "        tools = await create_mcp_tools()\n",
+    "        print(f\"🧰 Loaded {len(tools)} MCP tools\")\n",
+    "        \n",
+    "        # Initialize Azure OpenAI\n",
+    "        llm = AzureChatOpenAI(\n",
+    "            azure_endpoint=os.getenv(\"AZURE_OPENAI_ENDPOINT\"),\n",
+    "            api_key=os.getenv(\"AZURE_OPENAI_API_KEY\"),\n",
+    "            api_version=os.getenv(\"AZURE_API_VERSION\", \"2024-12-01-preview\"),\n",
+    "            azure_deployment=os.getenv(\"DEPLOYMENT_NAME\", \"gpt-5-nano\"),\n",
+    "            temperature=1,  # Lower temperature for consistent packing advice\n",
+    "            verbose=True\n",
+    "        )\n",
+    "        \n",
+    "        print(f\"🧠 Azure OpenAI initialized: {os.getenv('DEPLOYMENT_NAME', 'gpt-5-nano')}\")\n",
+    "        \n",
+    "        # Create prompt template\n",
+    "        prompt = ChatPromptTemplate.from_messages([\n",
+    "            (\"system\", DEEPSEEKTRAVELS_SYSTEM_PROMPT),\n",
+    "            MessagesPlaceholder(\"chat_history\", optional=True),\n",
+    "            (\"human\", \"{input}\"),\n",
+    "            MessagesPlaceholder(\"agent_scratchpad\")\n",
+    "        ])\n",
+    "        \n",
+    "        # Create agent\n",
+    "        agent = create_tool_calling_agent(llm, tools, prompt)\n",
+    "        \n",
+    "        # Create memory\n",
+    "        memory = ConversationBufferMemory(\n",
+    "            memory_key=\"chat_history\",\n",
+    "            return_messages=True,\n",
+    "            output_key=\"output\"\n",
+    "        )\n",
+    "        \n",
+    "        # Create agent executor\n",
+    "        agent_executor = AgentExecutor(\n",
+    "            agent=agent,\n",
+    "            tools=tools,\n",
+    "            memory=memory,\n",
+    "            verbose=True,\n",
+    "            handle_parsing_errors=True,\n",
+    "            max_iterations=10\n",
+    "        )\n",
+    "        \n",
+    "        print(f\"🤖 DeepseekTravels agent initialized successfully!\")\n",
+    "        return agent_executor\n",
+    "        \n",
+    "    except Exception as e:\n",
+    "        print(f\"❌ Error setting up agent: {e}\")\n",
+    "        raise\n",
+    "\n",
+    "print(\"✅ Agent setup configuration ready!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cca2d3bb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Cell 5: Initialize Agent\n",
+    "# Run the async initialization\n",
+    "\n",
+    "async def initialize_agent():\n",
+    "    \"\"\"Initialize the DeepseekTravels agent and display available tools\"\"\"\n",
+    "    global agent_executor\n",
+    "    \n",
+    "    print(\"🚀 Initializing DeepseekTravels Agent...\")\n",
+    "    print(\"\")\n",
+    "    \n",
+    "    agent_executor = await setup_agent()\n",
+    "    \n",
+    "    print(\"\")\n",
+    "    print(\"🛠️  Available Tools:\")\n",
+    "    for i, tool in enumerate(tools, 1):\n",
+    "        print(f\"   {i:2d}. {tool.name} - {tool.description[:80]}{'...' if len(tool.description) > 80 else ''}\")\n",
+    "    \n",
+    "    print(\"\")\n",
+    "    print(\"✅ DeepseekTravels is ready to help with your packing needs!\")\n",
+    "\n",
+    "# Run initialization\n",
+    "await initialize_agent()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c6e01c85",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Cell 6: User Input Processing \n",
+    "# Helper function to process user queries\n",
+    "\n",
+    "async def process_user_input(user_input: str):\n",
+    "    \"\"\"Process user input and return agent response\"\"\"\n",
+    "    global agent_executor\n",
+    "    \n",
+    "    if agent_executor is None:\n",
+    "        print(\"❌ Agent not initialized. Please run the initialization cell first.\")\n",
+    "        return\n",
+    "    \n",
+    "    try:\n",
+    "        print(f\"🧳 Processing: {user_input}\")\n",
+    "        print(\"=\" * 80)\n",
+    "        \n",
+    "        # Execute the agent\n",
+    "        response = await agent_executor.ainvoke({\"input\": user_input})\n",
+    "        \n",
+    "        print(\"\\n\" + \"=\" * 80)\n",
+    "        print(\"📋 DeepseekTravels Response:\")\n",
+    "        print(\"=\" * 80)\n",
+    "        print(response[\"output\"])\n",
+    "        \n",
+    "        return response[\"output\"]\n",
+    "        \n",
+    "    except Exception as e:\n",
+    "        print(f\"❌ Error processing request: {e}\")\n",
+    "        return None\n",
+    "\n",
+    "print(\"✅ User input processing ready!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b2457228",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Cell 7: Test MCP Connection\n",
+    "# Test connectivity to all MCP servers and display available tools\n",
+    "\n",
+    "async def test_mcp_connection():\n",
+    "    \"\"\"Test MCP server connections and display tool information\"\"\"\n",
+    "    global mcp_client, tools\n",
+    "    \n",
+    "    if mcp_client is None:\n",
+    "        print(\"❌ MCP client not initialized\")\n",
+    "        return\n",
+    "    \n",
+    "    print(\"🔍 Testing MCP Server Connections...\")\n",
+    "    print(\"\")\n",
+    "    \n",
+    "    # Group tools by server/category\n",
+    "    tool_categories = {\n",
+    "        \"Weather\": [],\n",
+    "        \"Travel Requirements\": [],\n",
+    "        \"Booking\": [],\n",
+    "        \"Attractions\": [],\n",
+    "        \"Other\": []\n",
+    "    }\n",
+    "    \n",
+    "    for tool in tools:\n",
+    "        name = tool.name.lower()\n",
+    "        if \"weather\" in name:\n",
+    "            tool_categories[\"Weather\"].append(tool)\n",
+    "        elif any(kw in name for kw in [\"baggage\", \"security\", \"visa\", \"document\"]):\n",
+    "            tool_categories[\"Travel Requirements\"].append(tool)\n",
+    "        elif any(kw in name for kw in [\"flight\", \"hotel\", \"booking\", \"activity\"]):\n",
+    "            tool_categories[\"Booking\"].append(tool)\n",
+    "        elif \"attraction\" in name:\n",
+    "            tool_categories[\"Attractions\"].append(tool)\n",
+    "        else:\n",
+    "            tool_categories[\"Other\"].append(tool)\n",
+    "    \n",
+    "    for category, category_tools in tool_categories.items():\n",
+    "        if category_tools:\n",
+    "            print(f\"🔧 {category} Tools ({len(category_tools)}):\")\n",
+    "            for tool in category_tools:\n",
+    "                print(f\"   • {tool.name}: {tool.description}\")\n",
+    "            print(\"\")\n",
+    "    \n",
+    "    print(f\"✅ All MCP servers connected - {len(tools)} tools available\")\n",
+    "\n",
+    "# Test connections\n",
+    "await test_mcp_connection()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "120fd37e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Cell 8: Example Usage\n",
+    "# Demonstrate the DeepseekTravels agent with example scenarios\n",
+    "\n",
+    "print(\"🌟 DeepseekTravels Example Scenarios\")\n",
+    "print(\"=\"*50)\n",
+    "print(\"\")\n",
+    "\n",
+    "# Example 1: Business trip to Tokyo\n",
+    "print(\"📊 Example 1: Tokyo Business Trip\")\n",
+    "print(\"-\" * 30)\n",
+    "await process_user_input(\n",
+    "    \"I'm traveling to Tokyo for a 5-day business trip in November. \"\n",
+    "    \"I have a 28L backpack, flying ANA economy class, with business meetings and some evening events. \"\n",
+    "    \"What should I pack?\"\n",
+    ")\n",
+    "\n",
+    "print(\"\\n\" + \"=\"*80 + \"\\n\")\n",
+    "\n",
+    "# Example 2: Weekend beach trip  \n",
+    "print(\"🏖️ Example 2: Lisbon Beach Weekend\")\n",
+    "print(\"-\" * 30)\n",
+    "await process_user_input(\n",
+    "    \"Weekend trip to Lisbon in late September, mostly beach and casual sightseeing. \"\n",
+    "    \"Small 20L daypack, can do laundry. Keep it simple!\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b6db5309",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Cell 9: Interactive Chat Loop\n",
+    "# Interactive conversation with DeepseekTravels\n",
+    "\n",
+    "async def chat_with_deepseektravels():\n",
+    "    \"\"\"Interactive chat loop with the DeepseekTravels agent\"\"\"\n",
+    "    print(\"🗣️  Starting interactive chat with DeepseekTravels\")\n",
+    "    print(\"   Type 'exit', 'quit', or 'bye' to end the conversation\")\n",
+    "    print(\"   Type 'help' for example questions\")\n",
+    "    print(\"=\" * 80)\n",
+    "    \n",
+    "    while True:\n",
+    "        try:\n",
+    "            # Get user input\n",
+    "            user_input = input(\"\\n🧳 You: \").strip()\n",
+    "            \n",
+    "            # Check for exit conditions\n",
+    "            if user_input.lower() in ['exit', 'quit', 'bye', 'stop']:\n",
+    "                print(\"\\n👋 DeepseekTravels: Safe travels! Feel free to come back anytime for packing advice.\")\n",
+    "                break\n",
+    "            \n",
+    "            # Help command\n",
+    "            if user_input.lower() == 'help':\n",
+    "                print(\"\\n💡 Example questions you can ask:\")\n",
+    "                print(\"   • What should I pack for a week in Iceland in winter?\")\n",
+    "                print(\"   • I need a packing list for Patagonia hiking, 15kg limit\")\n",
+    "                print(\"   • Business trip to Singapore, what are the visa requirements?\")\n",
+    "                print(\"   • Search flights from NYC to Tokyo for November\")\n",
+    "                print(\"   • Keep it simple: beach weekend in Mexico\")\n",
+    "                continue\n",
+    "            \n",
+    "            # Skip empty inputs\n",
+    "            if not user_input:\n",
+    "                continue\n",
+    "            \n",
+    "            # Process the input\n",
+    "            print(f\"\\n🤖 DeepseekTravels: \", end=\"\")\n",
+    "            await process_user_input(user_input)\n",
+    "            \n",
+    "        except KeyboardInterrupt:\n",
+    "            print(\"\\n\\n👋 DeepseekTravels: Chat interrupted. Safe travels!\")\n",
+    "            break\n",
+    "        except Exception as e:\n",
+    "            print(f\"\\n❌ Error in chat: {e}\")\n",
+    "            continue\n",
+    "\n",
+    "print(\"✅ Interactive chat ready! Run the cell below to start chatting.\")\n",
+    "print(\"\\n📝 Or try these quick commands here:\")\n",
+    "print(\"   await process_user_input('Your question here')\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "36ceaec2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Cell 10: Start Interactive Chat\n",
+    "# Uncomment the line below to start interactive chat\n",
+    "\n",
+    "await chat_with_deepseektravels()\n",
+    "\n",
+    "# Or test individual queries:\n",
+    "# await process_user_input(\"I'm going to Patagonia for 10 days of hiking. What gear should I bring? My backpack is 65L and I can carry up to 20kg.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "427cb4a6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Cell 11: Cleanup\n",
+    "# Clean up MCP connections and resources\n",
+    "\n",
+    "async def cleanup_mcp():\n",
+    "    \"\"\"Clean up MCP client connections\"\"\"\n",
+    "    global mcp_client, agent_executor\n",
+    "    \n",
+    "    try:\n",
+    "        if mcp_client:\n",
+    "            print(\"🧹 Cleaning up MCP connections...\")\n",
+    "            await mcp_client.close()\n",
+    "            mcp_client = None\n",
+    "            print(\"   ✅ MCP client closed\")\n",
+    "        \n",
+    "        agent_executor = None\n",
+    "        print(\"   ✅ Agent executor cleared\")\n",
+    "        \n",
+    "        print(\"\\n🎯 DeepseekTravels session ended. Thank you for using our packing assistant!\")\n",
+    "        \n",
+    "    except Exception as e:\n",
+    "        print(f\"❌ Error during cleanup: {e}\")\n",
+    "\n",
+    "# Uncomment to run cleanup\n",
+    "# await cleanup_mcp()\n",
+    "\n",
+    "print(\"✅ Cleanup function ready - uncomment the line above to run cleanup when finished\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/agent/packing_models.py b/src/agent/packing_models.py
new file mode 100644
index 0000000..f24ca3f
--- /dev/null
+++ b/src/agent/packing_models.py
@@ -0,0 +1,169 @@
+"""Pydantic models for the Packing List Agent and DeepseekTravels system"""
+
+from typing import List, Optional, Dict, Any
+from pydantic import BaseModel, Field
+from datetime import datetime, date
+from enum import Enum
+
+# Enums for standardized values
+class SafetyStatus(str, Enum):
+    """Airport security status for items"""
+    SAFE = "safe"  # Allowed in carry-on and checked
+    RESTRICTED = "restricted"  # Allowed with conditions
+    PROHIBITED = "prohibited"  # Not allowed in carry-on
+
+class Priority(str, Enum):
+    """Item priority for packing"""
+    ESSENTIAL = "essential"  # Must-have items
+    IMPORTANT = "important"  # Very useful items
+    NICE_TO_HAVE = "nice-to-have"  # Optional items
+    LUXURY = "luxury"  # Non-essential comfort items
+
+class WeightClass(str, Enum):
+    """Weight classification for items"""
+    NEGLIGIBLE = "negligible"  # <50g
+    LIGHT = "light"  # 50g-200g
+    MEDIUM = "medium"  # 200g-500g  
+    HEAVY = "heavy"  # 500g-1kg
+    VERY_HEAVY = "very-heavy"  # >1kg
+
+class ActivityType(str, Enum):
+    """Types of activities affecting packing needs"""
+    BUSINESS = "business"
+    CASUAL = "casual" 
+    OUTDOOR = "outdoor"
+    BEACH = "beach"
+    FORMAL = "formal"
+    HIKING = "hiking"
+    CULTURAL = "cultural"
+    NIGHTLIFE = "nightlife"
+
+class WeatherCondition(str, Enum):
+    """Weather conditions affecting packing"""
+    HOT = "hot"  # >25°C
+    WARM = "warm"  # 15-25°C
+    COOL = "cool"  # 5-15°C
+    COLD = "cold"  # <5°C
+    RAINY = "rainy"
+    SNOWY = "snowy"
+    WINDY = "windy"
+
+# Core packing models
+class PackingListItem(BaseModel):
+    """Individual item in a packing list"""
+    name: str
+    category: str  # "clothing", "toiletries", "electronics", "documents", etc.
+    quantity: int = 1
+    estimated_weight_g: int = Field(..., description="Estimated weight in grams")
+    estimated_volume_ml: int = Field(..., description="Estimated volume in milliliters")
+    safety_status: SafetyStatus
+    priority: Priority
+    weight_class: WeightClass
+    reason: str = Field(..., description="Why this item is recommended")
+    alternatives: List[str] = Field(default_factory=list, description="Alternative items if this doesn't fit")
+    restrictions: Optional[str] = None  # Security or customs restrictions
+    source_rule: str = Field(..., description="Which packing rule generated this item")
+
+class PackingConstraints(BaseModel):
+    """User's packing constraints and preferences"""
+    capacity_liters: Optional[int] = None
+    max_weight_kg: Optional[float] = None
+    airline: Optional[str] = None
+    cabin_class: str = "economy"
+    route_type: str = "international"  # domestic, international, regional
+    has_laundry_access: bool = False
+    mobility_limitations: List[str] = Field(default_factory=list)
+    liquid_restrictions: bool = True  # Follow 3-1-1 rule
+    budget_constraints: Optional[Dict[str, float]] = None  # category -> max_spend
+
+class TripParameters(BaseModel):
+    """Trip details affecting packing decisions"""
+    destination: str
+    departure_date: date
+    return_date: Optional[date] = None
+    trip_length_days: int
+    activities: List[ActivityType] = Field(default_factory=list)
+    time_of_day_activities: Dict[str, List[str]] = Field(default_factory=dict)  # "day"/"night" -> activities
+    accommodation_type: str = "hotel"  # hotel, hostel, camping, airbnb
+    transportation_methods: List[str] = Field(default_factory=list)  # flight, train, car, etc.
+
+class WeatherForecast(BaseModel):
+    """Weather information for the trip"""
+    location: str
+    conditions: List[WeatherCondition]
+    temperature_range_c: Dict[str, int]  # {"min": 5, "max": 20}
+    precipitation_probability: float = 0.0
+    special_conditions: List[str] = Field(default_factory=list)  # "high humidity", "strong winds"
+
+class PackingListRequest(BaseModel):
+    """Complete request for generating a packing list"""
+    trip_parameters: TripParameters
+    constraints: PackingConstraints
+    weather_forecast: Optional[WeatherForecast] = None
+    user_preferences: Dict[str, Any] = Field(default_factory=dict)
+    keep_it_simple: bool = False  # Generate minimal checklist only
+
+class PackingListResponse(BaseModel):
+    """Generated packing list with analysis"""
+    items: List[PackingListItem]
+    total_estimated_weight_g: int
+    total_estimated_volume_ml: int
+    fits_constraints: bool
+    constraint_violations: List[str] = Field(default_factory=list)
+    category_summaries: Dict[str, Dict[str, Any]] = Field(default_factory=dict)
+    alternatives_suggested: List[str] = Field(default_factory=list)
+    generated_at: datetime = Field(default_factory=datetime.now)
+    generation_mode: str = "full"  # "full", "simple"
+
+# Category analysis models
+class CategorySummary(BaseModel):
+    """Summary of items in a category"""
+    category: str
+    item_count: int
+    total_weight_g: int
+    total_volume_ml: int
+    priority_distribution: Dict[Priority, int]
+    safety_status_distribution: Dict[SafetyStatus, int]
+
+class CapacityAnalysis(BaseModel):
+    """Analysis of how items fit within constraints"""
+    total_capacity_used_percent: float
+    total_weight_used_percent: float
+    categories_over_limit: List[str] = Field(default_factory=list)
+    suggested_removals: List[str] = Field(default_factory=list)
+    suggested_swaps: List[Dict[str, str]] = Field(default_factory=list)  # {"remove": "item", "add": "alternative"}
+
+# Keep-it-simple mode models
+class SimplePackingItem(BaseModel):
+    """Simplified item for keep-it-simple mode"""
+    name: str
+    quantity: int = 1
+    category: str
+    essential: bool = True
+
+class SimplePackingList(BaseModel):
+    """Minimal packing checklist"""
+    destination: str
+    trip_length_days: int
+    items: List[SimplePackingItem]
+    high_priority_notes: List[str] = Field(default_factory=list, max_items=5)
+    generated_at: datetime = Field(default_factory=datetime.now)
+
+# Integration models for MCP tools
+class MCPToolResult(BaseModel):
+    """Standardized result from MCP tool calls"""
+    tool_name: str
+    success: bool
+    data: Dict[str, Any]
+    error_message: Optional[str] = None
+    execution_time_ms: Optional[int] = None
+
+class PackingSession(BaseModel):
+    """User session for iterative packing list refinement"""
+    session_id: str
+    user_constraints: PackingConstraints
+    trip_parameters: TripParameters
+    current_list: Optional[PackingListResponse] = None
+    conversation_history: List[str] = Field(default_factory=list)
+    created_at: datetime = Field(default_factory=datetime.now)
+    last_updated: datetime = Field(default_factory=datetime.now)
\ No newline at end of file
diff --git a/src/agent/packing_requirements.txt b/src/agent/packing_requirements.txt
new file mode 100644
index 0000000..069e0d2
--- /dev/null
+++ b/src/agent/packing_requirements.txt
@@ -0,0 +1,27 @@
+# Data science and notebook
+jupyter
+numpy
+pandas
+
+# LangChain and LLM integration (latest versions)
+langchain>=0.3.27
+langchain-openai>=0.2.8
+langchain-community>=0.3.27
+openai>=1.54.0
+
+# MCP integration
+mcp[cli]>=1.13.1
+langchain-mcp-adapters>=0.1.0
+requests>=2.31.0
+
+# Additional utilities
+python-dotenv>=1.0.0
+httpx>=0.26.0
+dotenv>=0.9.9
+
+# Packing list specific dependencies
+pydantic>=2.0.0
+typer>=0.12.0
+fastapi>=0.104.0
+uvicorn>=0.24.0
+pytest>=7.4.0
\ No newline at end of file
diff --git a/src/mcp/booking-mcp/README.md b/src/mcp/booking-mcp/README.md
new file mode 100644
index 0000000..b2f0788
--- /dev/null
+++ b/src/mcp/booking-mcp/README.md
@@ -0,0 +1,46 @@
+# Booking MCP Server
+
+Mock booking service for the DeepseekTravels packing list agent.
+
+## Phase 1: Offline/Mock Mode Only
+
+This server provides **mock data only** and makes no external HTTP calls. All responses are deterministic fixtures designed for development and testing.
+
+## Available Tools
+
+- `search_flights(departure_airport, arrival_airport, departure_date, ...)` - Search for flights
+- `search_hotels(city, country, check_in_date, check_out_date, ...)` - Search for hotels  
+- `search_activities(location, activity_date, categories, ...)` - Search for activities and tours
+- `hold_booking(booking_type, item_id, passenger_details)` - Place temporary hold on booking
+- `confirm_booking(hold_id, payment_info)` - Confirm held booking with payment
+
+## Running the Server
+
+```bash
+cd src/mcp/booking-mcp
+uv run main.py
+```
+
+Server will start on `http://localhost:8011/mcp/`
+
+## Environment Variables
+
+- `DEEPSEEKTRAVELS_OFFLINE=true` (enforced in Phase 1)
+- `DEEPSEEKTRAVELS_USE_MOCKS=true` (enforced in Phase 1)
+
+## Booking Flow
+
+1. Search for flights/hotels/activities using respective search tools
+2. Call `hold_booking` with an item ID from search results (15-minute hold)
+3. Present hold details to user for confirmation
+4. Call `confirm_booking` with hold ID and payment info to complete booking
+
+## Mock Data Features
+
+- Realistic flight schedules and pricing
+- Hotel ratings and amenities
+- Activity categories and descriptions
+- Hold/confirm workflow with expiration
+- Booking confirmation numbers
+
+**⚠️ Important**: This is mock data for development only. No real bookings are made. All confirmations are fake.
\ No newline at end of file
diff --git a/src/mcp/booking-mcp/__init__.py b/src/mcp/booking-mcp/__init__.py
new file mode 100644
index 0000000..f4cf0f7
--- /dev/null
+++ b/src/mcp/booking-mcp/__init__.py
@@ -0,0 +1 @@
+"""Booking MCP Server init"""
\ No newline at end of file
diff --git a/src/mcp/booking-mcp/booking_service.py b/src/mcp/booking-mcp/booking_service.py
new file mode 100644
index 0000000..ffa8af4
--- /dev/null
+++ b/src/mcp/booking-mcp/booking_service.py
@@ -0,0 +1,272 @@
+"""Booking Service - Mock data provider for Phase 1"""
+
+from typing import Dict, Any, List
+from datetime import datetime, timedelta, date
+import uuid
+from config import ensure_offline_mode, MOCK_SOURCES, BOOKING_SESSIONS
+from models import Flight, Hotel, Activity, BookingHold, BookingConfirmation, FlightClass, BookingStatus
+
+def search_flights_mock(departure_airport: str, arrival_airport: str, departure_date: date, 
+                       return_date: date = None, passengers: int = 1, flight_class: str = "economy") -> Dict[str, Any]:
+    """Get mock flight search results"""
+    ensure_offline_mode()
+    
+    # Mock flight data
+    base_flights = [
+        {
+            "airline": "American Airlines", "flight_number": "AA123",
+            "departure_time": "08:00", "arrival_time": "14:30", "duration": 390,
+            "price_economy": 450, "price_business": 1200, "price_first": 2800
+        },
+        {
+            "airline": "Delta", "flight_number": "DL456", 
+            "departure_time": "12:15", "arrival_time": "18:45", "duration": 390,
+            "price_economy": 425, "price_business": 1150, "price_first": 2650
+        },
+        {
+            "airline": "United", "flight_number": "UA789",
+            "departure_time": "16:30", "arrival_time": "22:55", "duration": 385,
+            "price_economy": 475, "price_business": 1300, "price_first": 3000
+        }
+    ]
+    
+    flights = []
+    for i, base_flight in enumerate(base_flights):
+        departure_dt = datetime.combine(departure_date, datetime.strptime(base_flight["departure_time"], "%H:%M").time())
+        arrival_dt = datetime.combine(departure_date, datetime.strptime(base_flight["arrival_time"], "%H:%M").time())
+        
+        price_key = f"price_{flight_class.lower()}"
+        price = base_flight.get(price_key, base_flight["price_economy"])
+        
+        flight = Flight(
+            flight_id=f"flight_{i+1}_{departure_airport}_{arrival_airport}",
+            airline=base_flight["airline"],
+            flight_number=base_flight["flight_number"],
+            departure_airport=departure_airport,
+            arrival_airport=arrival_airport,
+            departure_time=departure_dt,
+            arrival_time=arrival_dt,
+            duration_minutes=base_flight["duration"],
+            flight_class=FlightClass(flight_class.lower()),
+            price_usd=price * passengers,
+            seats_available=15,
+            baggage_included={"carry_on": "1 piece", "checked": "1 piece (23kg)"},
+            cancellation_policy="Free cancellation within 24 hours"
+        )
+        flights.append(flight.dict())
+    
+    return {
+        "departure_airport": departure_airport,
+        "arrival_airport": arrival_airport,
+        "departure_date": departure_date.isoformat(),
+        "return_date": return_date.isoformat() if return_date else None,
+        "passengers": passengers,
+        "flight_class": flight_class,
+        "flights": flights,
+        "source": MOCK_SOURCES["flights"],
+        "mock_data": True
+    }
+
+def search_hotels_mock(city: str, country: str, check_in_date: date, check_out_date: date, 
+                      guests: int = 1, rooms: int = 1) -> Dict[str, Any]:
+    """Get mock hotel search results"""
+    ensure_offline_mode()
+    
+    nights = (check_out_date - check_in_date).days
+    
+    # Mock hotel data
+    base_hotels = [
+        {
+            "name": f"Grand {city} Hotel", "rating": 4.5, "price_per_night": 180,
+            "amenities": ["WiFi", "Pool", "Gym", "Restaurant", "Concierge"]
+        },
+        {
+            "name": f"{city} Business Inn", "rating": 4.0, "price_per_night": 125,
+            "amenities": ["WiFi", "Business Center", "Restaurant", "Parking"]
+        },
+        {
+            "name": f"Budget Stay {city}", "rating": 3.5, "price_per_night": 85,
+            "amenities": ["WiFi", "24h Front Desk"]
+        }
+    ]
+    
+    hotels = []
+    for i, base_hotel in enumerate(base_hotels):
+        total_price = base_hotel["price_per_night"] * nights * rooms
+        
+        hotel = Hotel(
+            hotel_id=f"hotel_{i+1}_{city.lower().replace(' ', '_')}",
+            name=base_hotel["name"],
+            address=f"{100 + i*50} Main Street",
+            city=city,
+            country=country,
+            rating_stars=base_hotel["rating"],
+            price_per_night_usd=base_hotel["price_per_night"],
+            total_price_usd=total_price,
+            amenities=base_hotel["amenities"],
+            cancellation_policy="Free cancellation until 6 PM on arrival day",
+            check_in_date=check_in_date,
+            check_out_date=check_out_date,
+            room_type="Standard Room"
+        )
+        hotels.append(hotel.dict())
+    
+    return {
+        "city": city,
+        "country": country, 
+        "check_in_date": check_in_date.isoformat(),
+        "check_out_date": check_out_date.isoformat(),
+        "guests": guests,
+        "rooms": rooms,
+        "nights": nights,
+        "hotels": hotels,
+        "source": MOCK_SOURCES["hotels"],
+        "mock_data": True
+    }
+
+def search_activities_mock(location: str, activity_date: date, categories: List[str] = None, 
+                          max_price_usd: float = None) -> Dict[str, Any]:
+    """Get mock activity search results"""
+    ensure_offline_mode()
+    
+    # Mock activity data
+    base_activities = [
+        {
+            "name": f"{location} City Walking Tour", "description": "3-hour guided walking tour",
+            "duration": 3, "price": 35, "categories": ["cultural", "walking", "historic"]
+        },
+        {
+            "name": f"{location} Museum Pass", "description": "Full day access to top museums",
+            "duration": 8, "price": 45, "categories": ["museum", "cultural", "art"]
+        },
+        {
+            "name": f"{location} Food Tour", "description": "Taste local cuisine with a guide",
+            "duration": 4, "price": 75, "categories": ["food", "cultural", "walking"]
+        },
+        {
+            "name": f"{location} Bike Tour", "description": "Explore the city by bicycle",
+            "duration": 2.5, "price": 40, "categories": ["outdoor", "cycling", "sightseeing"]
+        }
+    ]
+    
+    activities = []
+    for i, base_activity in enumerate(base_activities):
+        # Filter by categories if specified
+        if categories and not any(cat in base_activity["categories"] for cat in categories):
+            continue
+        
+        # Filter by price if specified
+        if max_price_usd and base_activity["price"] > max_price_usd:
+            continue
+        
+        activity = Activity(
+            activity_id=f"activity_{i+1}_{location.lower().replace(' ', '_')}",
+            name=base_activity["name"],
+            description=base_activity["description"],
+            location=location,
+            duration_hours=base_activity["duration"],
+            price_per_person_usd=base_activity["price"],
+            max_participants=20,
+            available_slots=12,
+            categories=base_activity["categories"],
+            cancellation_policy="Free cancellation up to 2 hours before start",
+            booking_date=activity_date,
+            start_time="10:00"
+        )
+        activities.append(activity.dict())
+    
+    return {
+        "location": location,
+        "date": activity_date.isoformat(),
+        "categories_filter": categories or [],
+        "max_price_filter": max_price_usd,
+        "activities": activities,
+        "source": MOCK_SOURCES["activities"],
+        "mock_data": True
+    }
+
+def hold_booking_mock(booking_type: str, item_id: str, passenger_details: Dict[str, Any] = None) -> Dict[str, Any]:
+    """Create a mock booking hold"""
+    ensure_offline_mode()
+    
+    hold_id = str(uuid.uuid4())
+    hold_expires_at = datetime.now() + timedelta(minutes=15)  # 15 minute hold
+    
+    # Mock prices by booking type
+    mock_prices = {
+        "flight": 450.0,
+        "hotel": 540.0,  # 3 nights * 180
+        "activity": 35.0
+    }
+    
+    hold = BookingHold(
+        hold_id=hold_id,
+        booking_type=booking_type,
+        item_id=item_id,
+        hold_expires_at=hold_expires_at,
+        total_price_usd=mock_prices.get(booking_type, 100.0),
+        cancellation_policy="Free cancellation within hold period",
+        special_terms="Hold expires in 15 minutes. Payment required to confirm."
+    )
+    
+    # Store in mock session storage
+    BOOKING_SESSIONS[hold_id] = hold.dict()
+    
+    return {
+        "hold_details": hold.dict(),
+        "hold_expires_in_minutes": 15,
+        "next_step": "Call confirm_booking with this hold_id to complete booking",
+        "mock_data": True
+    }
+
+def confirm_booking_mock(hold_id: str, payment_info: Dict[str, str]) -> Dict[str, Any]:
+    """Confirm a mock booking"""
+    ensure_offline_mode()
+    
+    # Check if hold exists
+    if hold_id not in BOOKING_SESSIONS:
+        return {
+            "error": "Hold not found or expired",
+            "hold_id": hold_id,
+            "mock_data": True
+        }
+    
+    hold_data = BOOKING_SESSIONS[hold_id]
+    
+    # Check if hold expired
+    if datetime.now() > datetime.fromisoformat(hold_data["hold_expires_at"]):
+        del BOOKING_SESSIONS[hold_id]
+        return {
+            "error": "Hold has expired",
+            "hold_id": hold_id,
+            "mock_data": True
+        }
+    
+    # Create confirmation
+    confirmation_id = f"CONF_{str(uuid.uuid4())[:8].upper()}"
+    
+    confirmation = BookingConfirmation(
+        confirmation_id=confirmation_id,
+        booking_type=hold_data["booking_type"],
+        item_id=hold_data["item_id"],
+        status=BookingStatus.CONFIRMED,
+        total_price_usd=hold_data["total_price_usd"],
+        booking_date=datetime.now(),
+        contact_info={
+            "email": "booking-confirmations@deepseektravels.com",
+            "phone": "+1-800-TRAVEL"
+        },
+        special_instructions="This is a mock booking confirmation for development purposes"
+    )
+    
+    # Remove from holds, add to confirmed bookings
+    del BOOKING_SESSIONS[hold_id]
+    BOOKING_SESSIONS[confirmation_id] = confirmation.dict()
+    
+    return {
+        "confirmation": confirmation.dict(),
+        "payment_processed": True,
+        "payment_method": payment_info.get("method", "credit_card"),
+        "mock_data": True,
+        "important_note": "This is a MOCK booking. No real reservation was made."
+    }
\ No newline at end of file
diff --git a/src/mcp/booking-mcp/config.py b/src/mcp/booking-mcp/config.py
new file mode 100644
index 0000000..254d187
--- /dev/null
+++ b/src/mcp/booking-mcp/config.py
@@ -0,0 +1,26 @@
+"""Configuration for Booking MCP Server"""
+
+import os
+from typing import Dict, Any
+
+# Phase 1: Enforce offline mode
+OFFLINE_MODE = os.getenv("DEEPSEEKTRAVELS_OFFLINE", "true").lower() == "true"
+USE_MOCKS = os.getenv("DEEPSEEKTRAVELS_USE_MOCKS", "true").lower() == "true"
+
+# Network guard - Phase 1 should never make external HTTP calls
+def ensure_offline_mode():
+    """Raise exception if trying to make external calls in Phase 1"""
+    if not OFFLINE_MODE or not USE_MOCKS:
+        raise RuntimeError("Phase 1: External HTTP calls are not permitted. Set DEEPSEEKTRAVELS_OFFLINE=true and DEEPSEEKTRAVELS_USE_MOCKS=true")
+
+# Mock booking data configuration
+MOCK_DATA_VERSION = "1.0.0"
+MOCK_SOURCES = {
+    "flights": "Flight booking APIs (mocked)",
+    "hotels": "Hotel booking APIs (mocked)", 
+    "activities": "Activity booking APIs (mocked)",
+    "pricing": "Mock pricing data for development"
+}
+
+# Booking session storage (in-memory for Phase 1)
+BOOKING_SESSIONS = {}
\ No newline at end of file
diff --git a/src/mcp/booking-mcp/main.py b/src/mcp/booking-mcp/main.py
new file mode 100644
index 0000000..a4fd4f7
--- /dev/null
+++ b/src/mcp/booking-mcp/main.py
@@ -0,0 +1,154 @@
+"""
+Booking MCP Server - Mock booking service for flights, hotels, activities.
+
+To run this server:
+    uv run main.py
+
+Phase 1: All data is mocked/offline - no external HTTP calls.
+"""
+
+from typing import Dict, Any, List, Optional
+from datetime import date
+from mcp.server.fastmcp import FastMCP
+from models import FlightSearchRequest, HotelSearchRequest, ActivitySearchRequest
+from booking_service import (
+    search_flights_mock, search_hotels_mock, search_activities_mock,
+    hold_booking_mock, confirm_booking_mock
+)
+from config import OFFLINE_MODE, USE_MOCKS
+
+mcp = FastMCP("Booking", port=8011)
+
+@mcp.tool()
+def search_flights(
+    departure_airport: str,
+    arrival_airport: str, 
+    departure_date: str,  # YYYY-MM-DD
+    return_date: str = None,  # YYYY-MM-DD
+    passengers: int = 1,
+    flight_class: str = "economy"
+) -> Dict[str, Any]:
+    """Search for flights between airports
+    
+    Args:
+        departure_airport: IATA airport code (e.g., "LAX", "JFK", "LHR")
+        arrival_airport: IATA airport code (e.g., "NRT", "CDG", "SYD")
+        departure_date: Departure date in YYYY-MM-DD format
+        return_date: Optional return date in YYYY-MM-DD format
+        passengers: Number of passengers (default: 1)
+        flight_class: Flight class (economy, business, first)
+    
+    Returns:
+        Dict containing flight search results with pricing and schedules
+    """
+    if not OFFLINE_MODE or not USE_MOCKS:
+        raise RuntimeError("Phase 1: Only offline/mock mode is permitted")
+    
+    departure_date_obj = date.fromisoformat(departure_date)
+    return_date_obj = date.fromisoformat(return_date) if return_date else None
+    
+    return search_flights_mock(
+        departure_airport, arrival_airport, departure_date_obj, 
+        return_date_obj, passengers, flight_class
+    )
+
+@mcp.tool()
+def search_hotels(
+    city: str,
+    country: str,
+    check_in_date: str,  # YYYY-MM-DD
+    check_out_date: str,  # YYYY-MM-DD
+    guests: int = 1,
+    rooms: int = 1
+) -> Dict[str, Any]:
+    """Search for hotels in a city
+    
+    Args:
+        city: City name (e.g., "Paris", "Tokyo", "New York")
+        country: Country name or code (e.g., "France", "Japan", "US")
+        check_in_date: Check-in date in YYYY-MM-DD format
+        check_out_date: Check-out date in YYYY-MM-DD format
+        guests: Number of guests (default: 1)
+        rooms: Number of rooms (default: 1)
+    
+    Returns:
+        Dict containing hotel search results with pricing and amenities
+    """
+    if not OFFLINE_MODE or not USE_MOCKS:
+        raise RuntimeError("Phase 1: Only offline/mock mode is permitted")
+    
+    check_in_obj = date.fromisoformat(check_in_date)
+    check_out_obj = date.fromisoformat(check_out_date)
+    
+    return search_hotels_mock(city, country, check_in_obj, check_out_obj, guests, rooms)
+
+@mcp.tool()
+def search_activities(
+    location: str,
+    activity_date: str,  # YYYY-MM-DD
+    categories: List[str] = None,
+    max_price_usd: float = None
+) -> Dict[str, Any]:
+    """Search for activities and tours in a location
+    
+    Args:
+        location: City or location name (e.g., "Paris", "Rome", "Kyoto")
+        activity_date: Activity date in YYYY-MM-DD format
+        categories: Optional activity categories (e.g., ["museum", "outdoor", "food"])
+        max_price_usd: Optional maximum price per person in USD
+    
+    Returns:
+        Dict containing activity search results with descriptions and pricing
+    """
+    if not OFFLINE_MODE or not USE_MOCKS:
+        raise RuntimeError("Phase 1: Only offline/mock mode is permitted")
+    
+    activity_date_obj = date.fromisoformat(activity_date)
+    
+    return search_activities_mock(location, activity_date_obj, categories or [], max_price_usd)
+
+@mcp.tool()
+def hold_booking(
+    booking_type: str,
+    item_id: str,
+    passenger_details: Optional[Dict[str, Any]] = None
+) -> Dict[str, Any]:
+    """Hold a booking for a limited time before confirmation
+    
+    Args:
+        booking_type: Type of booking ("flight", "hotel", "activity")
+        item_id: ID of the item to book (from search results)
+        passenger_details: Optional passenger/guest details
+    
+    Returns:
+        Dict containing hold details, expiration time, and hold ID for confirmation
+    """
+    if not OFFLINE_MODE or not USE_MOCKS:
+        raise RuntimeError("Phase 1: Only offline/mock mode is permitted")
+    
+    return hold_booking_mock(booking_type, item_id, passenger_details or {})
+
+@mcp.tool()
+def confirm_booking(
+    hold_id: str,
+    payment_info: Dict[str, str]
+) -> Dict[str, Any]:
+    """Confirm a held booking with payment information
+    
+    Args:
+        hold_id: Hold ID from hold_booking call
+        payment_info: Payment details (mock data for Phase 1)
+    
+    Returns:
+        Dict containing booking confirmation details and confirmation number
+    """
+    if not OFFLINE_MODE or not USE_MOCKS:
+        raise RuntimeError("Phase 1: Only offline/mock mode is permitted")
+    
+    return confirm_booking_mock(hold_id, payment_info)
+
+if __name__ == "__main__":
+    print("🎫 Starting Booking MCP Server on http://localhost:8011/mcp/")
+    print("⚠️  Phase 1: Running in OFFLINE/MOCK mode only")
+    print("⚠️  NO REAL BOOKINGS WILL BE MADE - ALL MOCK DATA")
+    mcp.run(transport="streamable-http")
\ No newline at end of file
diff --git a/src/mcp/booking-mcp/models.py b/src/mcp/booking-mcp/models.py
new file mode 100644
index 0000000..eb87482
--- /dev/null
+++ b/src/mcp/booking-mcp/models.py
@@ -0,0 +1,117 @@
+"""Pydantic models for Booking MCP Server"""
+
+from typing import List, Optional, Dict, Any
+from pydantic import BaseModel
+from datetime import datetime, date
+from enum import Enum
+
+class BookingStatus(str, Enum):
+    AVAILABLE = "available"
+    HELD = "held"
+    CONFIRMED = "confirmed"
+    CANCELLED = "cancelled"
+
+class FlightClass(str, Enum):
+    ECONOMY = "economy"
+    BUSINESS = "business"
+    FIRST = "first"
+
+class Flight(BaseModel):
+    """Flight search result"""
+    flight_id: str
+    airline: str
+    flight_number: str
+    departure_airport: str
+    arrival_airport: str
+    departure_time: datetime
+    arrival_time: datetime
+    duration_minutes: int
+    flight_class: FlightClass
+    price_usd: float
+    seats_available: int
+    baggage_included: Dict[str, str]
+    cancellation_policy: str
+
+class Hotel(BaseModel):
+    """Hotel search result"""
+    hotel_id: str
+    name: str
+    address: str
+    city: str
+    country: str
+    rating_stars: float
+    price_per_night_usd: float
+    total_price_usd: float  
+    amenities: List[str]
+    cancellation_policy: str
+    check_in_date: date
+    check_out_date: date
+    room_type: str
+
+class Activity(BaseModel):
+    """Activity search result"""
+    activity_id: str
+    name: str
+    description: str
+    location: str
+    duration_hours: float
+    price_per_person_usd: float
+    max_participants: int
+    available_slots: int
+    categories: List[str]  # ["museum", "outdoor", "cultural", etc.]
+    cancellation_policy: str
+    booking_date: date
+    start_time: str
+
+class BookingHold(BaseModel):
+    """Booking hold information"""
+    hold_id: str
+    booking_type: str  # "flight", "hotel", "activity"
+    item_id: str
+    hold_expires_at: datetime
+    total_price_usd: float
+    cancellation_policy: str
+    special_terms: Optional[str] = None
+
+class BookingConfirmation(BaseModel):
+    """Booking confirmation details"""
+    confirmation_id: str
+    booking_type: str
+    item_id: str
+    status: BookingStatus
+    total_price_usd: float
+    booking_date: datetime
+    contact_info: Dict[str, str]
+    special_instructions: Optional[str] = None
+
+# Request models
+class FlightSearchRequest(BaseModel):
+    departure_airport: str
+    arrival_airport: str
+    departure_date: date
+    return_date: Optional[date] = None
+    passengers: int = 1
+    flight_class: FlightClass = FlightClass.ECONOMY
+
+class HotelSearchRequest(BaseModel):
+    city: str
+    country: str
+    check_in_date: date
+    check_out_date: date
+    guests: int = 1
+    rooms: int = 1
+
+class ActivitySearchRequest(BaseModel):
+    location: str
+    date: date
+    categories: List[str] = []
+    max_price_usd: Optional[float] = None
+
+class HoldBookingRequest(BaseModel):
+    booking_type: str
+    item_id: str
+    passenger_details: Optional[Dict[str, Any]] = None
+
+class ConfirmBookingRequest(BaseModel):
+    hold_id: str
+    payment_info: Dict[str, str]  # Mock payment info
\ No newline at end of file
diff --git a/src/mcp/booking-mcp/pyproject.toml b/src/mcp/booking-mcp/pyproject.toml
new file mode 100644
index 0000000..7c336f0
--- /dev/null
+++ b/src/mcp/booking-mcp/pyproject.toml
@@ -0,0 +1,11 @@
+[project]
+name = "booking-mcp"
+version = "0.1.0"
+description = "Booking MCP Server - search and book flights, hotels, activities with confirmation flow"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = [
+    "mcp[cli]>=1.13.1",
+    "pydantic>=2.0.0",
+    "fastapi>=0.104.0",
+]
diff --git a/src/mcp/booking-mcp/utils.py b/src/mcp/booking-mcp/utils.py
new file mode 100644
index 0000000..7fb2f70
--- /dev/null
+++ b/src/mcp/booking-mcp/utils.py
@@ -0,0 +1,72 @@
+"""Booking MCP Server utilities"""
+
+from typing import Dict, Any, List
+from datetime import datetime
+
+def format_flight_summary(flights: List[Dict[str, Any]]) -> str:
+    """Format flight results into a readable summary"""
+    if not flights:
+        return "No flights found for the specified criteria."
+    
+    summary = f"Found {len(flights)} flights:\n\n"
+    
+    for i, flight in enumerate(flights[:3], 1):  # Show top 3
+        dep_time = datetime.fromisoformat(flight['departure_time']).strftime("%H:%M")
+        arr_time = datetime.fromisoformat(flight['arrival_time']).strftime("%H:%M")
+        duration = f"{flight['duration_minutes'] // 60}h {flight['duration_minutes'] % 60}m"
+        
+        summary += f"{i}. {flight['airline']} {flight['flight_number']}\n"
+        summary += f"   {flight['departure_airport']} {dep_time} → {flight['arrival_airport']} {arr_time} ({duration})\n"
+        summary += f"   ${flight['price_usd']:.0f} • {flight['seats_available']} seats available\n\n"
+    
+    return summary
+
+def format_hotel_summary(hotels: List[Dict[str, Any]]) -> str:
+    """Format hotel results into a readable summary"""
+    if not hotels:
+        return "No hotels found for the specified criteria."
+    
+    summary = f"Found {len(hotels)} hotels:\n\n"
+    
+    for i, hotel in enumerate(hotels, 1):
+        stars = "⭐" * int(hotel['rating_stars'])
+        
+        summary += f"{i}. {hotel['name']} {stars}\n"
+        summary += f"   {hotel['address']}, {hotel['city']}\n"
+        summary += f"   ${hotel['price_per_night_usd']:.0f}/night • Total: ${hotel['total_price_usd']:.0f}\n"
+        summary += f"   Amenities: {', '.join(hotel['amenities'][:3])}\n\n"
+    
+    return summary
+
+def format_activity_summary(activities: List[Dict[str, Any]]) -> str:
+    """Format activity results into a readable summary"""
+    if not activities:
+        return "No activities found for the specified criteria."
+    
+    summary = f"Found {len(activities)} activities:\n\n"
+    
+    for i, activity in enumerate(activities, 1):
+        summary += f"{i}. {activity['name']}\n"
+        summary += f"   {activity['description']}\n"
+        summary += f"   Duration: {activity['duration_hours']}h • ${activity['price_per_person_usd']:.0f} per person\n"
+        summary += f"   Categories: {', '.join(activity['categories'])}\n\n"
+    
+    return summary
+
+def format_booking_confirmation(confirmation: Dict[str, Any]) -> str:
+    """Format booking confirmation into a readable summary"""
+    conf = confirmation.get('confirmation', {})
+    
+    summary = f"🎉 Booking Confirmed!\n\n"
+    summary += f"Confirmation: {conf.get('confirmation_id', 'N/A')}\n"
+    summary += f"Type: {conf.get('booking_type', 'N/A').title()}\n"
+    summary += f"Total: ${conf.get('total_price_usd', 0):.2f}\n"
+    summary += f"Status: {conf.get('status', 'N/A').title()}\n\n"
+    
+    if conf.get('contact_info'):
+        summary += f"Contact: {conf['contact_info'].get('email', 'N/A')}\n"
+    
+    if confirmation.get('important_note'):
+        summary += f"\n⚠️ {confirmation['important_note']}\n"
+    
+    return summary
\ No newline at end of file
diff --git a/src/mcp/booking-mcp/uv.lock b/src/mcp/booking-mcp/uv.lock
new file mode 100644
index 0000000..5c7114c
--- /dev/null
+++ b/src/mcp/booking-mcp/uv.lock
@@ -0,0 +1,506 @@
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+]
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diff --git a/src/mcp/travel-requirements-mcp/README.md b/src/mcp/travel-requirements-mcp/README.md
new file mode 100644
index 0000000..66cbeed
--- /dev/null
+++ b/src/mcp/travel-requirements-mcp/README.md
@@ -0,0 +1,38 @@
+# Travel Requirements MCP Server
+
+Mock travel requirements service for the DeepseekTravels packing list agent.
+
+## Phase 1: Offline/Mock Mode Only
+
+This server provides **mock data only** and makes no external HTTP calls. All responses are deterministic fixtures designed for development and testing.
+
+## Available Tools
+
+- `check_baggage_rules(airline, cabin_class, route)` - Get baggage allowances and restrictions
+- `check_security_restrictions(departure_country, arrival_country, items)` - Check airport security rules
+- `check_visa_requirements(passport_country, destination_country, trip_duration_days, purpose)` - Check visa requirements  
+- `check_travel_documents(destination_country, passport_country, departure_date, return_date)` - Check required documents
+
+## Running the Server
+
+```bash
+cd src/mcp/travel-requirements-mcp
+uv run main.py
+```
+
+Server will start on `http://localhost:8010/mcp/`
+
+## Environment Variables
+
+- `DEEPSEEKTRAVELS_OFFLINE=true` (enforced in Phase 1)
+- `DEEPSEEKTRAVELS_USE_MOCKS=true` (enforced in Phase 1)
+
+## Mock Data Sources
+
+All data references mock versions of:
+- TSA "What Can I Bring?" guidelines
+- IATA Travel Centre information  
+- Embassy and consulate websites
+- Airline baggage policies
+
+**⚠️ Important**: This is mock data for development only. Always verify requirements with official sources before travel.
\ No newline at end of file
diff --git a/src/mcp/travel-requirements-mcp/__init__.py b/src/mcp/travel-requirements-mcp/__init__.py
new file mode 100644
index 0000000..cfc84a1
--- /dev/null
+++ b/src/mcp/travel-requirements-mcp/__init__.py
@@ -0,0 +1 @@
+"""Travel Requirements MCP Server init"""
\ No newline at end of file
diff --git a/src/mcp/travel-requirements-mcp/config.py b/src/mcp/travel-requirements-mcp/config.py
new file mode 100644
index 0000000..f388f78
--- /dev/null
+++ b/src/mcp/travel-requirements-mcp/config.py
@@ -0,0 +1,23 @@
+"""Configuration for Travel Requirements MCP Server"""
+
+import os
+from typing import Dict, Any
+
+# Phase 1: Enforce offline mode
+OFFLINE_MODE = os.getenv("DEEPSEEKTRAVELS_OFFLINE", "true").lower() == "true"
+USE_MOCKS = os.getenv("DEEPSEEKTRAVELS_USE_MOCKS", "true").lower() == "true"
+
+# Network guard - Phase 1 should never make external HTTP calls
+def ensure_offline_mode():
+    """Raise exception if trying to make external calls in Phase 1"""
+    if not OFFLINE_MODE or not USE_MOCKS:
+        raise RuntimeError("Phase 1: External HTTP calls are not permitted. Set DEEPSEEKTRAVELS_OFFLINE=true and DEEPSEEKTRAVELS_USE_MOCKS=true")
+
+# Mock data configuration
+MOCK_DATA_VERSION = "1.0.0"
+MOCK_SOURCES = {
+    "tsa": "https://www.tsa.gov/travel/security-screening/whatcanibring/all (mocked)",
+    "iata": "https://www.iatatravelcentre.com (mocked)", 
+    "embassy": "Various embassy websites (mocked)",
+    "airline_policies": "Airline official websites (mocked)"
+}
\ No newline at end of file
diff --git a/src/mcp/travel-requirements-mcp/main.py b/src/mcp/travel-requirements-mcp/main.py
new file mode 100644
index 0000000..cfcf915
--- /dev/null
+++ b/src/mcp/travel-requirements-mcp/main.py
@@ -0,0 +1,116 @@
+"""
+Travel Requirements MCP Server - Mock travel requirements data for packing list agent.
+
+To run this server:
+    uv run main.py
+
+Phase 1: All data is mocked/offline - no external HTTP calls.
+"""
+
+from typing import Dict, Any, List
+from mcp.server.fastmcp import FastMCP
+from models import (
+    BaggageRule, SecurityRestriction, VisaRequirement, 
+    TravelDocument, BaggageRulesRequest, SecurityRestrictionsRequest,
+    VisaRequirementsRequest, TravelDocumentsRequest
+)
+from travel_requirements_service import (
+    get_baggage_rules_mock, get_security_restrictions_mock,
+    get_visa_requirements_mock, get_travel_documents_mock
+)
+from config import OFFLINE_MODE, USE_MOCKS
+
+mcp = FastMCP("TravelRequirements", port=8010)
+
+@mcp.tool()
+def check_baggage_rules(
+    airline: str,
+    cabin_class: str = "economy", 
+    route: str = "international"
+) -> Dict[str, Any]:
+    """Check baggage allowances and restrictions for specific airline and route
+    
+    Args:
+        airline: Airline code or name (e.g., "AA", "Delta", "British Airways")
+        cabin_class: Cabin class (economy, business, first)
+        route: Route type (domestic, international, regional)
+    
+    Returns:
+        Dict containing baggage rules, weight limits, size restrictions, fees
+    """
+    if not OFFLINE_MODE or not USE_MOCKS:
+        raise RuntimeError("Phase 1: Only offline/mock mode is permitted")
+    
+    return get_baggage_rules_mock(airline, cabin_class, route)
+
+@mcp.tool()
+def check_security_restrictions(
+    departure_country: str,
+    arrival_country: str,
+    items: List[str] = None
+) -> Dict[str, Any]:
+    """Check airport security restrictions for specific items and routes
+    
+    Args:
+        departure_country: Country code of departure (e.g., "US", "GB", "JP")
+        arrival_country: Country code of arrival
+        items: Optional list of specific items to check (e.g., ["laptop", "liquids", "batteries"])
+    
+    Returns:
+        Dict containing security restrictions, prohibited items, quantity limits
+    """
+    if not OFFLINE_MODE or not USE_MOCKS:
+        raise RuntimeError("Phase 1: Only offline/mock mode is permitted")
+    
+    return get_security_restrictions_mock(departure_country, arrival_country, items or [])
+
+@mcp.tool()
+def check_visa_requirements(
+    passport_country: str,
+    destination_country: str,
+    trip_duration_days: int,
+    purpose: str = "tourism"
+) -> Dict[str, Any]:
+    """Check visa requirements for travel between countries
+    
+    Args:
+        passport_country: Country code of passport holder (e.g., "US", "GB")
+        destination_country: Country code of destination (e.g., "JP", "FR")
+        trip_duration_days: Length of stay in days
+        purpose: Purpose of travel (tourism, business, transit)
+    
+    Returns:
+        Dict containing visa requirements, processing time, fees, documents needed
+    """
+    if not OFFLINE_MODE or not USE_MOCKS:
+        raise RuntimeError("Phase 1: Only offline/mock mode is permitted")
+    
+    return get_visa_requirements_mock(passport_country, destination_country, trip_duration_days, purpose)
+
+@mcp.tool() 
+def check_travel_documents(
+    destination_country: str,
+    passport_country: str,
+    departure_date: str,
+    return_date: str = None
+) -> Dict[str, Any]:
+    """Check required travel documents and validity requirements
+    
+    Args:
+        destination_country: Country code of destination (e.g., "JP", "AU")
+        passport_country: Country code of passport holder 
+        departure_date: Departure date in YYYY-MM-DD format
+        return_date: Optional return date in YYYY-MM-DD format
+    
+    Returns:
+        Dict containing document requirements, validity periods, additional documents
+    """
+    if not OFFLINE_MODE or not USE_MOCKS:
+        raise RuntimeError("Phase 1: Only offline/mock mode is permitted")
+    
+    return get_travel_documents_mock(destination_country, passport_country, departure_date, return_date)
+
+if __name__ == "__main__":
+    print("🛂 Starting Travel Requirements MCP Server on http://localhost:8010/mcp/")
+    print("⚠️  Phase 1: Running in OFFLINE/MOCK mode only")
+    mcp.run(transport="streamable-http")
\ No newline at end of file
diff --git a/src/mcp/travel-requirements-mcp/models.py b/src/mcp/travel-requirements-mcp/models.py
new file mode 100644
index 0000000..a037ddd
--- /dev/null
+++ b/src/mcp/travel-requirements-mcp/models.py
@@ -0,0 +1,71 @@
+"""Pydantic models for Travel Requirements MCP Server"""
+
+from typing import List, Optional, Dict, Any
+from pydantic import BaseModel
+from datetime import datetime
+
+class BaggageRule(BaseModel):
+    """Baggage allowance and restrictions"""
+    airline: str
+    cabin_class: str
+    route_type: str
+    carry_on_weight_kg: int
+    carry_on_dimensions_cm: str  # "55x40x20"
+    checked_weight_kg: int
+    checked_dimensions_cm: str
+    additional_fees: Optional[Dict[str, float]] = None
+    prohibited_items: List[str] = []
+    liquid_restrictions: Dict[str, str] = {}
+    
+class SecurityRestriction(BaseModel):
+    """Airport security restrictions for items"""
+    item: str
+    status: str  # "allowed", "restricted", "prohibited"
+    carry_on_allowed: bool
+    checked_allowed: bool
+    quantity_limit: Optional[str] = None
+    size_limit: Optional[str] = None
+    special_instructions: Optional[str] = None
+    source: str
+
+class VisaRequirement(BaseModel):
+    """Visa requirements for travel"""
+    passport_country: str
+    destination_country: str
+    visa_required: bool
+    visa_type: Optional[str] = None
+    max_stay_days: Optional[int] = None
+    processing_time_days: Optional[int] = None
+    fee_usd: Optional[float] = None
+    documents_required: List[str] = []
+    special_notes: Optional[str] = None
+
+class TravelDocument(BaseModel):
+    """Required travel documents"""
+    document_type: str  # "passport", "visa", "vaccination_certificate", etc.
+    required: bool
+    validity_months_required: Optional[int] = None
+    special_requirements: Optional[str] = None
+
+# Request models
+class BaggageRulesRequest(BaseModel):
+    airline: str
+    cabin_class: str = "economy"
+    route: str = "international"
+
+class SecurityRestrictionsRequest(BaseModel):
+    departure_country: str
+    arrival_country: str
+    items: List[str] = []
+
+class VisaRequirementsRequest(BaseModel):
+    passport_country: str
+    destination_country: str
+    trip_duration_days: int
+    purpose: str = "tourism"
+
+class TravelDocumentsRequest(BaseModel):
+    destination_country: str
+    passport_country: str
+    departure_date: str  # YYYY-MM-DD
+    return_date: Optional[str] = None
\ No newline at end of file
diff --git a/src/mcp/travel-requirements-mcp/pyproject.toml b/src/mcp/travel-requirements-mcp/pyproject.toml
new file mode 100644
index 0000000..4d338d2
--- /dev/null
+++ b/src/mcp/travel-requirements-mcp/pyproject.toml
@@ -0,0 +1,11 @@
+[project]
+name = "travel-requirements-mcp"
+version = "0.1.0"
+description = "Travel Requirements MCP Server - baggage rules, security restrictions, visa requirements, travel documents"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = [
+    "mcp[cli]>=1.13.1",
+    "pydantic>=2.0.0",
+    "fastapi>=0.104.0",
+]
diff --git a/src/mcp/travel-requirements-mcp/travel_requirements_service.py b/src/mcp/travel-requirements-mcp/travel_requirements_service.py
new file mode 100644
index 0000000..44bd036
--- /dev/null
+++ b/src/mcp/travel-requirements-mcp/travel_requirements_service.py
@@ -0,0 +1,231 @@
+"""Travel Requirements Service - Mock data provider for Phase 1"""
+
+from typing import Dict, Any, List
+from datetime import datetime, timedelta
+from config import ensure_offline_mode, MOCK_SOURCES
+
+def get_baggage_rules_mock(airline: str, cabin_class: str, route: str) -> Dict[str, Any]:
+    """Get mock baggage rules data"""
+    ensure_offline_mode()
+    
+    # Mock baggage data for different airlines
+    baggage_data = {
+        "AA": {"carry_on_kg": 10, "checked_kg": 23, "dimensions": "56x36x23"},
+        "Delta": {"carry_on_kg": 10, "checked_kg": 23, "dimensions": "56x35x23"},
+        "British Airways": {"carry_on_kg": 8, "checked_kg": 23, "dimensions": "56x40x23"},
+        "ANA": {"carry_on_kg": 10, "checked_kg": 20, "dimensions": "55x40x25"},
+        "default": {"carry_on_kg": 8, "checked_kg": 20, "dimensions": "55x40x20"}
+    }
+    
+    data = baggage_data.get(airline, baggage_data["default"])
+    
+    # Adjust for cabin class
+    if cabin_class.lower() == "business":
+        data["checked_kg"] += 9  # Business gets extra weight
+    elif cabin_class.lower() == "first":
+        data["checked_kg"] += 17  # First gets even more
+        
+    return {
+        "airline": airline,
+        "cabin_class": cabin_class,
+        "route_type": route,
+        "carry_on": {
+            "weight_limit_kg": data["carry_on_kg"],
+            "dimensions_cm": data["dimensions"],
+            "quantity": 1
+        },
+        "checked": {
+            "weight_limit_kg": data["checked_kg"],
+            "dimensions_cm": "158cm total linear dimensions",
+            "included_bags": 1,
+            "excess_fee_per_kg": 20.0
+        },
+        "prohibited_items": [
+            "flammable liquids", "weapons", "explosives", "lithium batteries >100Wh",
+            "compressed gases", "toxic substances"
+        ],
+        "liquid_restrictions": {
+            "carry_on_limit_ml": 100,
+            "total_liquids_limit_l": 1.0,
+            "container_requirement": "clear plastic bag"
+        },
+        "source": MOCK_SOURCES["airline_policies"],
+        "mock_data": True
+    }
+
+def get_security_restrictions_mock(departure_country: str, arrival_country: str, items: List[str]) -> Dict[str, Any]:
+    """Get mock security restrictions data"""
+    ensure_offline_mode()
+    
+    # Common security restrictions
+    common_restrictions = {
+        "liquids": {
+            "status": "restricted",
+            "carry_on_allowed": True,
+            "checked_allowed": True,
+            "quantity_limit": "containers ≤100ml, total ≤1L",
+            "special_instructions": "Must be in clear plastic bag"
+        },
+        "laptop": {
+            "status": "allowed",
+            "carry_on_allowed": True,
+            "checked_allowed": True,
+            "special_instructions": "May need to be removed for screening"
+        },
+        "batteries": {
+            "status": "restricted", 
+            "carry_on_allowed": True,
+            "checked_allowed": False,
+            "quantity_limit": "lithium <100Wh carry-on only",
+            "special_instructions": "Spare batteries must be in carry-on"
+        },
+        "knife": {
+            "status": "prohibited",
+            "carry_on_allowed": False,
+            "checked_allowed": True,
+            "special_instructions": "Must be packed in checked luggage"
+        },
+        "medication": {
+            "status": "allowed",
+            "carry_on_allowed": True,  
+            "checked_allowed": True,
+            "special_instructions": "Bring prescription or doctor's note"
+        }
+    }
+    
+    # Country-specific variations
+    country_variations = {
+        "US": {"additional_screening": ["electronics >tablet size", "food items"]},
+        "GB": {"additional_screening": ["powders >350ml"]},
+        "JP": {"additional_screening": ["certain medications require permits"]},
+        "AU": {"additional_screening": ["biological materials", "wooden items"]}
+    }
+    
+    restrictions = {}
+    for item in items:
+        item_lower = item.lower()
+        # Find matching restriction
+        for key, restriction in common_restrictions.items():
+            if key in item_lower:
+                restrictions[item] = restriction
+                break
+        else:
+            # Default for unknown items
+            restrictions[item] = {
+                "status": "unknown",
+                "carry_on_allowed": None,
+                "checked_allowed": None,
+                "special_instructions": "Check with airline/TSA for specific item"
+            }
+    
+    return {
+        "departure_country": departure_country,
+        "arrival_country": arrival_country,
+        "restrictions": restrictions,
+        "general_rules": {
+            "liquid_limit_ml": 100,
+            "total_liquid_limit_l": 1.0,
+            "electronics_screening": "May require separate screening",
+            "sharp_objects": "Prohibited in carry-on"
+        },
+        "country_specific": country_variations.get(departure_country, {}),
+        "source": MOCK_SOURCES["tsa"],
+        "mock_data": True
+    }
+
+def get_visa_requirements_mock(passport_country: str, destination_country: str, trip_duration_days: int, purpose: str) -> Dict[str, Any]:
+    """Get mock visa requirements data"""
+    ensure_offline_mode()
+    
+    # Mock visa requirements (simplified)
+    visa_free_countries = {
+        "US": ["GB", "FR", "DE", "JP", "AU", "CA"],  # US passport holders
+        "GB": ["US", "FR", "DE", "JP", "AU"],        # UK passport holders  
+        "JP": ["US", "GB", "FR", "DE", "AU"],        # Japanese passport holders
+    }
+    
+    visa_required = destination_country not in visa_free_countries.get(passport_country, [])
+    
+    if not visa_required:
+        return {
+            "passport_country": passport_country,
+            "destination_country": destination_country,
+            "visa_required": False,
+            "max_stay_days": 90 if purpose == "tourism" else 30,
+            "entry_requirements": ["Valid passport", "Return ticket", "Proof of funds"],
+            "source": MOCK_SOURCES["embassy"],
+            "mock_data": True
+        }
+    
+    # Mock visa requirements for countries that need visas
+    return {
+        "passport_country": passport_country,
+        "destination_country": destination_country,
+        "visa_required": True,
+        "visa_type": "tourist" if purpose == "tourism" else "business",
+        "processing_time_days": 10,
+        "fee_usd": 60.0,
+        "documents_required": [
+            "Valid passport (6+ months validity)",
+            "Completed visa application",
+            "Passport photos",
+            "Proof of accommodation",
+            "Return flight tickets",
+            "Bank statements"
+        ],
+        "max_stay_days": 30,
+        "source": MOCK_SOURCES["embassy"],
+        "mock_data": True
+    }
+
+def get_travel_documents_mock(destination_country: str, passport_country: str, departure_date: str, return_date: str = None) -> Dict[str, Any]:
+    """Get mock travel documents requirements"""
+    ensure_offline_mode()
+    
+    departure_dt = datetime.fromisoformat(departure_date)
+    
+    # Basic document requirements
+    documents = [
+        {
+            "document_type": "passport",
+            "required": True,
+            "validity_months_required": 6,
+            "special_requirements": f"Must be valid for 6 months beyond {departure_date}"
+        }
+    ]
+    
+    # Add visa if required (simplified logic)
+    visa_required_destinations = ["CN", "RU", "IN", "BR"]  # Example countries
+    if destination_country in visa_required_destinations:
+        documents.append({
+            "document_type": "visa",
+            "required": True,
+            "validity_months_required": None,
+            "special_requirements": "Must be obtained before travel"
+        })
+    
+    # Add health requirements for certain destinations  
+    health_cert_destinations = ["BR", "KE", "TZ", "ZA"]  # Example countries requiring yellow fever cert
+    if destination_country in health_cert_destinations:
+        documents.append({
+            "document_type": "vaccination_certificate",
+            "required": True,
+            "validity_months_required": None,
+            "special_requirements": "Yellow fever vaccination required"
+        })
+        
+    return {
+        "destination_country": destination_country,
+        "passport_country": passport_country,
+        "departure_date": departure_date,
+        "return_date": return_date,
+        "documents_required": documents,
+        "additional_recommendations": [
+            "Travel insurance",
+            "Emergency contact information",
+            "Copies of important documents",
+            "Credit/debit cards with travel notification"
+        ],
+        "source": MOCK_SOURCES["embassy"],
+        "mock_data": True
+    }
\ No newline at end of file
diff --git a/src/mcp/travel-requirements-mcp/utils.py b/src/mcp/travel-requirements-mcp/utils.py
new file mode 100644
index 0000000..ea06ca8
--- /dev/null
+++ b/src/mcp/travel-requirements-mcp/utils.py
@@ -0,0 +1,39 @@
+"""Travel Requirements MCP Server utilities"""
+
+from typing import Dict, Any
+
+def format_restriction_summary(restrictions: Dict[str, Any]) -> str:
+    """Format security restrictions into a readable summary"""
+    summary = f"Security restrictions for {restrictions['departure_country']} → {restrictions['arrival_country']}:\n\n"
+    
+    for item, restriction in restrictions.get('restrictions', {}).items():
+        status = restriction['status'].upper()
+        carry_on = "✅" if restriction['carry_on_allowed'] else "❌"
+        checked = "✅" if restriction['checked_allowed'] else "❌"
+        
+        summary += f"• {item}: {status}\n"
+        summary += f"  Carry-on: {carry_on} | Checked: {checked}\n"
+        
+        if restriction.get('special_instructions'):
+            summary += f"  Note: {restriction['special_instructions']}\n"
+        summary += "\n"
+    
+    return summary
+
+def format_baggage_summary(baggage: Dict[str, Any]) -> str:
+    """Format baggage rules into a readable summary"""
+    summary = f"Baggage rules for {baggage['airline']} ({baggage['cabin_class']}):\n\n"
+    
+    carry_on = baggage['carry_on']
+    summary += f"✈️ Carry-on: {carry_on['weight_limit_kg']}kg, {carry_on['dimensions_cm']}\n"
+    
+    checked = baggage['checked']
+    summary += f"🧳 Checked: {checked['weight_limit_kg']}kg, {checked['dimensions_cm']}\n"
+    summary += f"   Excess fee: ${checked['excess_fee_per_kg']}/kg\n\n"
+    
+    if baggage.get('prohibited_items'):
+        summary += "🚫 Prohibited items:\n"
+        for item in baggage['prohibited_items'][:5]:  # Show first 5
+            summary += f"   • {item}\n"
+    
+    return summary
\ No newline at end of file
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index 0000000..1fe79d1
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diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 0000000..c69a526
--- /dev/null
+++ b/tests/__init__.py
@@ -0,0 +1 @@
+"""Test configuration and utilities"""
\ No newline at end of file
diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py
new file mode 100644
index 0000000..94bdd60
--- /dev/null
+++ b/tests/unit/__init__.py
@@ -0,0 +1 @@
+"""Unit tests init"""
\ No newline at end of file
diff --git a/tests/unit/test_packing_engine.py b/tests/unit/test_packing_engine.py
new file mode 100644
index 0000000..04383cd
--- /dev/null
+++ b/tests/unit/test_packing_engine.py
@@ -0,0 +1,286 @@
+"""Unit tests for the packing engine and data models"""
+
+import pytest
+from datetime import date, datetime
+from src.agent.packing_engine import PackingEngine
+from src.agent.packing_models import (
+    PackingListRequest, TripParameters, PackingConstraints, WeatherForecast,
+    ActivityType, WeatherCondition, Priority, SafetyStatus, WeightClass
+)
+
+class TestPackingEngine:
+    """Test cases for PackingEngine class"""
+    
+    def setup_method(self):
+        """Set up test fixtures"""
+        self.engine = PackingEngine()
+        
+        # Basic trip parameters
+        self.basic_trip = TripParameters(
+            destination="Paris",
+            departure_date=date(2025, 11, 1),
+            return_date=date(2025, 11, 5),
+            trip_length_days=4,
+            activities=[ActivityType.CASUAL, ActivityType.CULTURAL],
+            accommodation_type="hotel"
+        )
+        
+        # Basic constraints
+        self.basic_constraints = PackingConstraints(
+            capacity_liters=28,
+            max_weight_kg=15.0,
+            airline="Delta",
+            cabin_class="economy",
+            has_laundry_access=False,
+            liquid_restrictions=True
+        )
+        
+        # Weather forecast
+        self.paris_weather = WeatherForecast(
+            location="Paris",
+            conditions=[WeatherCondition.COOL, WeatherCondition.RAINY],
+            temperature_range_c={"min": 8, "max": 15},
+            precipitation_probability=0.6
+        )
+    
+    def test_basic_packing_list_generation(self):
+        """Test basic packing list generation"""
+        request = PackingListRequest(
+            trip_parameters=self.basic_trip,
+            constraints=self.basic_constraints
+        )
+        
+        response = self.engine.generate_packing_list(request)
+        
+        # Basic assertions
+        assert len(response.items) > 0
+        assert response.total_estimated_weight_g > 0
+        assert response.total_estimated_volume_ml > 0
+        assert response.generation_mode == "full"
+        
+        # Check essential items are present
+        item_names = [item.name for item in response.items]
+        assert "passport" in item_names
+        assert "phone" in item_names
+        assert "underwear" in item_names
+    
+    def test_trip_length_scaling(self):
+        """Test that trip length affects item quantities"""
+        # Short trip (2 days)
+        short_trip = TripParameters(
+            destination="London",
+            departure_date=date(2025, 11, 1),
+            return_date=date(2025, 11, 3),
+            trip_length_days=2,
+            activities=[ActivityType.CASUAL]
+        )
+        
+        # Long trip (10 days)
+        long_trip = TripParameters(
+            destination="London", 
+            departure_date=date(2025, 11, 1),
+            return_date=date(2025, 11, 11),
+            trip_length_days=10,
+            activities=[ActivityType.CASUAL]
+        )
+        
+        short_request = PackingListRequest(trip_parameters=short_trip, constraints=self.basic_constraints)
+        long_request = PackingListRequest(trip_parameters=long_trip, constraints=self.basic_constraints)
+        
+        short_response = self.engine.generate_packing_list(short_request)
+        long_response = self.engine.generate_packing_list(long_request)
+        
+        # Find underwear quantities
+        short_underwear = next((item for item in short_response.items if item.name == "underwear"), None)
+        long_underwear = next((item for item in long_response.items if item.name == "underwear"), None)
+        
+        assert short_underwear is not None
+        assert long_underwear is not None
+        assert long_underwear.quantity > short_underwear.quantity
+    
+    def test_weather_adaptation(self):
+        """Test that weather conditions add appropriate items"""
+        # Cold weather
+        cold_weather = WeatherForecast(
+            location="Oslo",
+            conditions=[WeatherCondition.COLD, WeatherCondition.SNOWY],
+            temperature_range_c={"min": -5, "max": 2},
+            precipitation_probability=0.8
+        )
+        
+        request = PackingListRequest(
+            trip_parameters=self.basic_trip,
+            constraints=self.basic_constraints,
+            weather_forecast=cold_weather
+        )
+        
+        response = self.engine.generate_packing_list(request)
+        item_names = [item.name for item in response.items]
+        
+        # Should include cold weather items
+        assert "warm jacket" in item_names
+        assert "gloves" in item_names
+        assert any("rain" in name for name in item_names)  # Rain gear for snow
+    
+    def test_activity_items(self):
+        """Test that activities add specific items"""
+        business_trip = TripParameters(
+            destination="Tokyo",
+            departure_date=date(2025, 11, 1),
+            return_date=date(2025, 11, 4),
+            trip_length_days=3,
+            activities=[ActivityType.BUSINESS, ActivityType.FORMAL]
+        )
+        
+        request = PackingListRequest(
+            trip_parameters=business_trip,
+            constraints=self.basic_constraints
+        )
+        
+        response = self.engine.generate_packing_list(request)
+        item_names = [item.name for item in response.items]
+        
+        # Should include business items
+        assert "business suit" in item_names
+        assert "laptop" in item_names
+        assert "dress shoes" in item_names
+    
+    def test_capacity_constraints(self):
+        """Test that capacity constraints are respected"""
+        # Very restrictive constraints
+        tight_constraints = PackingConstraints(
+            capacity_liters=10,  # Very small backpack
+            max_weight_kg=5.0,   # Very light
+            liquid_restrictions=True
+        )
+        
+        request = PackingListRequest(
+            trip_parameters=self.basic_trip,
+            constraints=tight_constraints
+        )
+        
+        response = self.engine.generate_packing_list(request)
+        
+        # Should fit within constraints
+        assert response.total_estimated_volume_ml <= 10000  # 10L = 10000ml
+        assert response.total_estimated_weight_g <= 5000    # 5kg = 5000g
+        
+        # Should have violations recorded if items were removed
+        if not response.fits_constraints:
+            assert len(response.constraint_violations) > 0
+    
+    def test_liquid_restrictions(self):
+        """Test that liquid restrictions are applied"""
+        request = PackingListRequest(
+            trip_parameters=self.basic_trip,
+            constraints=self.basic_constraints
+        )
+        
+        response = self.engine.generate_packing_list(request)
+        
+        # Find toiletry items
+        toiletry_items = [item for item in response.items if item.category == "toiletries"]
+        
+        # Liquid items should be travel-size or have restrictions noted
+        for item in toiletry_items:
+            if "liquid" in item.name.lower() or "toothpaste" in item.name.lower():
+                assert item.estimated_volume_ml <= 100 or item.restrictions is not None
+    
+    def test_priority_assignment(self):
+        """Test that items have appropriate priority assignments"""
+        request = PackingListRequest(
+            trip_parameters=self.basic_trip,
+            constraints=self.basic_constraints
+        )
+        
+        response = self.engine.generate_packing_list(request)
+        
+        # Essential items should have highest priority
+        passport_item = next((item for item in response.items if item.name == "passport"), None)
+        assert passport_item is not None
+        assert passport_item.priority == Priority.ESSENTIAL
+        
+        # Check that we have items across different priorities
+        priorities = {item.priority for item in response.items}
+        assert Priority.ESSENTIAL in priorities
+        assert len(priorities) > 1  # Should have multiple priority levels
+    
+    def test_weight_class_calculation(self):
+        """Test weight class calculation"""
+        # Test the weight class calculation method
+        assert self.engine._calculate_weight_class(30) == WeightClass.NEGLIGIBLE
+        assert self.engine._calculate_weight_class(100) == WeightClass.LIGHT
+        assert self.engine._calculate_weight_class(300) == WeightClass.MEDIUM
+        assert self.engine._calculate_weight_class(700) == WeightClass.HEAVY
+        assert self.engine._calculate_weight_class(1500) == WeightClass.VERY_HEAVY
+    
+    def test_category_summaries(self):
+        """Test category summary generation"""
+        request = PackingListRequest(
+            trip_parameters=self.basic_trip,
+            constraints=self.basic_constraints
+        )
+        
+        response = self.engine.generate_packing_list(request)
+        
+        # Should have category summaries
+        assert len(response.category_summaries) > 0
+        
+        # Check clothing category exists and has expected structure
+        if "clothing" in response.category_summaries:
+            clothing_summary = response.category_summaries["clothing"]
+            assert "item_count" in clothing_summary
+            assert "total_weight_g" in clothing_summary
+            assert "total_volume_ml" in clothing_summary
+            assert clothing_summary["item_count"] > 0
+
+
+class TestPackingModels:
+    """Test cases for Pydantic models"""
+    
+    def test_packing_list_item_creation(self):
+        """Test PackingListItem model validation"""
+        from src.agent.packing_models import PackingListItem
+        
+        item = PackingListItem(
+            name="test item",
+            category="test",
+            quantity=2,
+            estimated_weight_g=100,
+            estimated_volume_ml=50,
+            safety_status=SafetyStatus.SAFE,
+            priority=Priority.IMPORTANT,
+            weight_class=WeightClass.LIGHT,
+            reason="test reason",
+            source_rule="test_rule"
+        )
+        
+        assert item.name == "test item"
+        assert item.quantity == 2
+        assert item.estimated_weight_g == 100
+        assert item.priority == Priority.IMPORTANT
+    
+    def test_trip_parameters_validation(self):
+        """Test TripParameters model validation"""
+        trip = TripParameters(
+            destination="Test City",
+            departure_date=date(2025, 11, 1),
+            return_date=date(2025, 11, 5),
+            trip_length_days=4,
+            activities=[ActivityType.CASUAL, ActivityType.BUSINESS]
+        )
+        
+        assert trip.destination == "Test City"
+        assert trip.trip_length_days == 4
+        assert len(trip.activities) == 2
+    
+    def test_packing_constraints_defaults(self):
+        """Test PackingConstraints model with defaults"""
+        constraints = PackingConstraints()
+        
+        # Test default values
+        assert constraints.capacity_liters is None
+        assert constraints.max_weight_kg is None
+        assert constraints.cabin_class == "economy"
+        assert constraints.has_laundry_access is False
+        assert constraints.liquid_restrictions is True
\ No newline at end of file