diff --git a/.gitignore b/.gitignore index b7faf40..746527d 100644 --- a/.gitignore +++ b/.gitignore @@ -205,3 +205,6 @@ cython_debug/ marimo/_static/ marimo/_lsp/ __marimo__/ +CLAUDE.md +.claude/settings.local.json +src/mcp/courses-mcp/.python-version diff --git a/.vscode/tasks.json b/.vscode/tasks.json new file mode 100644 index 0000000..3ff978b --- /dev/null +++ b/.vscode/tasks.json @@ -0,0 +1,67 @@ +{ + "version": "2.0.0", + "tasks": [ + { + "label": "Run Attractions MCP", + "type": "shell", + "command": "uv run main.py", + "options": { + "cwd": "${workspaceFolder}/src/mcp/attractions-mcp" + }, + "isBackground": true, + "problemMatcher": [], + "group": "build" + }, + { + "label": "Run Weather MCP", + "type": "shell", + "command": "uv run main.py", + "options": { + "cwd": "${workspaceFolder}/src/mcp/weather-mcp" + }, + "isBackground": true, + "problemMatcher": [], + "group": "build" + }, + { + "label": "Run All MCP Servers", + "dependsOrder": "parallel", + "dependsOn": [ + "Run Attractions MCP", + "Run Weather MCP" + ], + "group": "build" + }, + { + "label": "Run Courses MCP", + "type": "shell", + "command": "uv run main.py", + "options": { + "cwd": "${workspaceFolder}/src/mcp/courses-mcp" + }, + "isBackground": true, + "problemMatcher": [], + "group": "build" + }, + { + "label": "Run HR MCP", + "type": "shell", + "command": "uv run main.py", + "options": { + "cwd": "${workspaceFolder}/src/mcp/hr-competency-mcp" + }, + "isBackground": true, + "problemMatcher": [], + "group": "build" + }, + { + "label": "Run All Courses MCP Servers", + "dependsOrder": "parallel", + "dependsOn": [ + "Run Courses MCP", + "Run HR MCP" + ], + "group": "build" + } + ] +} \ No newline at end of file diff --git a/src/agent/coursesagent.ipynb b/src/agent/coursesagent.ipynb new file mode 100644 index 0000000..d637961 --- /dev/null +++ b/src/agent/coursesagent.ipynb @@ -0,0 +1,932 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 30, + "id": "e0ab9391", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "python: c:\\Notes_Apps\\Apps\\Hackathon-20252\\.venv\\Scripts\\python.exe\n", + "uv: c:\\Notes_Apps\\Apps\\Hackathon-20252\\.venv\\Scripts\\uv.EXE\n" + ] + } + ], + "source": [ + "# Step to ensure that the venv is being used for the project not local copies, should point at .venv in project.\n", + "import sys, shutil\n", + "print(\"python:\", sys.executable)\n", + "print(\"uv:\", shutil.which(\"uv\")) " + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "0c75dad6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: uv in c:\\notes_apps\\apps\\hackathon-20252\\.venv\\lib\\site-packages (0.8.22)\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[2mUsing Python 3.13.6 environment at: C:\\Notes_Apps\\Apps\\Hackathon-20252\\.venv\u001b[0m\n", + "\u001b[2mAudited \u001b[1m13 packages\u001b[0m \u001b[2min 34ms\u001b[0m\u001b[0m\n" + ] + } + ], + "source": [ + "# installs into the current Jupyter kernel environment\n", + "%pip install -U uv \n", + "#! to run shell commands\n", + "!uv pip install -r requirements.txt" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "3d06c4e7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Updated imports with official MCP adapter loaded successfully!\n" + ] + } + ], + "source": [ + "# LangChain + MCP Setup for Attractions Booking (HTTP-based for Jupyter)\n", + "import os\n", + "from dotenv import load_dotenv\n", + "import asyncio\n", + "import json\n", + "import requests\n", + "from typing import Dict, Any, List\n", + "\n", + "# LangChain imports\n", + "from langchain_openai import ChatOpenAI, 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\n", + "load_dotenv()\n", + "\n", + "print(\"✅ Updated imports with official MCP adapter loaded successfully!\")" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "aa8bb36f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔗 MCP HTTP adapter setup ready!\n" + ] + } + ], + "source": [ + "# MCP Client Setup using Official Adapter with HTTP Transport\n", + "import subprocess\n", + "import time\n", + "\n", + "# Global MCP client for HTTP\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", + " # Create MultiServerMCPClient with streamable_http transport\n", + " mcp_client = MultiServerMCPClient({\n", + " \"courses\": {\n", + " \"transport\": \"streamable_http\",\n", + " \"url\": os.getenv(\"COURSES_MCP_URL\")\n", + " },\n", + " \"hr\": {\n", + " \"transport\": \"streamable_http\",\n", + " \"url\": os.getenv(\"HR_MCP_URL\")\n", + " }\n", + " })\n", + " \n", + " # Get tools from the MCP server\n", + " tools = await mcp_client.get_tools()\n", + " print(f\"Loaded {len(tools)} MCP tools: {[tool.name for tool in tools]}\")\n", + " return tools\n", + " \n", + " except Exception as e:\n", + " print(f\"Error connecting to MCP HTTP server: {e}\")\n", + " return []\n", + "\n", + "print(\"🔗 MCP HTTP adapter setup ready!\")" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "6e36721f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🛠️ Ready to load MCP tools via official adapter!\n" + ] + } + ], + "source": [ + "# Load MCP Tools using Official Adapter\n", + "# The tools will be loaded dynamically when setting up the agent\n", + "# No need to manually create tool wrappers - the adapter handles this automatically\n", + "print(\"🛠️ Ready to load MCP tools via official adapter!\")" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "cc076efb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🤖 Agent setup function ready! Run the next cell to initialize.\n" + ] + } + ], + "source": [ + "async def setup_agent():\n", + " \"\"\"Setup LangChain agent with MCP tools using official adapter\"\"\"\n", + " \n", + " # Initialize LLM for Azure OpenAI\n", + " # can get this from Azure Open Ai service -> Azure Ai Foundary Portal\n", + " from langchain_openai import AzureChatOpenAI\n", + " \n", + " llm = AzureChatOpenAI(\n", + " deployment_name=os.getenv(\"DEPLOYMENT_NAME\"), # Your Azure deployment name\n", + " api_key=os.getenv(\"AZURE_OPENAI_API_KEY\"),\n", + " azure_endpoint=os.getenv(\"AZURE_OPENAI_ENDPOINT\"), \n", + " api_version=os.getenv(\"AZURE_API_VERSION\"), \n", + " temperature=1\n", + " )\n", + " \n", + " # Load MCP tools using official adapter\n", + " tools = await create_mcp_tools()\n", + " \n", + " if not tools:\n", + " print(\"No MCP tools loaded. Make sure the MCP server is accessible.\")\n", + " return None\n", + " \n", + " print(f\"Loaded {len(tools)} MCP tools: {[tool.name for tool in tools]}\")\n", + " \n", + " # Create system prompt\n", + " system_prompt = \"\"\"You are a helpful course assistant, designed to assist hr manager users in finding and booking courses for employees.\n", + "\n", + " You have access to multiple MCP tools for courses and also HR-related information, including:\n", + " - Searching for courses by location and category\n", + " - Getting detailed course information\n", + " - Booking courses for hr managers on behalf of employees\n", + " - Getting random course suggestions\n", + " - And more...\n", + "\n", + " When users ask about courses, use these tools to provide comprehensive information.\n", + " Always be helpful and provide practical advice.\"\"\"\n", + " \n", + " # Create prompt template\n", + " prompt = ChatPromptTemplate.from_messages([\n", + " (\"system\", system_prompt),\n", + " MessagesPlaceholder(variable_name=\"chat_history\"),\n", + " (\"human\", \"{input}\"),\n", + " MessagesPlaceholder(variable_name=\"agent_scratchpad\"),\n", + " ])\n", + " \n", + " # Create agent\n", + " agent = create_tool_calling_agent(llm, tools, prompt)\n", + "\n", + " # memory\n", + " memory = ConversationBufferMemory(memory_key=\"chat_history\", return_messages=True)\n", + "\n", + " # Create agent executor with tool logging callback and verbose output\n", + " agent_executor = AgentExecutor(agent=agent, tools=tools, memory=memory, verbose=True)\n", + " \n", + " return agent_executor\n", + "\n", + "# Initialize the agent (now async)\n", + "agent_executor = None\n", + "print(\"🤖 Agent setup function ready! Run the next cell to initialize.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "f38d16a3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Initializing agent with MCP tools...\n", + "Loaded 8 MCP tools: ['search_courses', 'get_course_details', 'search_and_format_courses', 'get_course_categories', 'get_courses_for_role', 'book_course', 'get_course_availability_info', 'search_employees']\n", + "Loaded 8 MCP tools: ['search_courses', 'get_course_details', 'search_and_format_courses', 'get_course_categories', 'get_courses_for_role', 'book_course', 'get_course_availability_info', 'search_employees']\n", + "LangChain agent with MCP tools ready!\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\ptaras\\AppData\\Local\\Temp\\ipykernel_23348\\230430869.py:50: LangChainDeprecationWarning: Please see the migration guide at: https://python.langchain.com/docs/versions/migrating_memory/\n", + " memory = ConversationBufferMemory(memory_key=\"chat_history\", return_messages=True)\n" + ] + } + ], + "source": [ + "# Initialize the agent with MCP tools\n", + "async def initialize_agent():\n", + " \"\"\"Initialize the agent with MCP tools\"\"\"\n", + " global agent_executor\n", + " print(\"Initializing agent with MCP tools...\")\n", + " agent_executor = await setup_agent()\n", + " if agent_executor:\n", + " print(\"LangChain agent with MCP tools ready!\")\n", + " else:\n", + " print(\"Failed to initialize agent. Check MCP server connection.\")\n", + "\n", + "# Run the initialization\n", + "await initialize_agent()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "abedc961", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "💬 User input handler ready!\n" + ] + } + ], + "source": [ + "# User Input Handler + logged agent steps\n", + "async def process_user_input(user_input: str) -> str:\n", + " \"\"\"Process user input and return LLM response using MCP tools\"\"\"\n", + " if not agent_executor:\n", + " return \"Agent not initialized. Please run the initialization cell first.\"\n", + " \n", + " try:\n", + " # Use the agent to process the input and get intermediate steps\n", + " result = await agent_executor.ainvoke({\"input\": user_input})\n", + " output = result.get(\"output\") or result.get(\"final_output\") or \"\"\n", + "\n", + " # Print intermediate steps if present\n", + " steps = result.get(\"intermediate_steps\") or []\n", + " for step in steps:\n", + " action = None\n", + " observation = None\n", + " if isinstance(step, tuple) and len(step) == 2:\n", + " action, observation = step\n", + " elif isinstance(step, dict) and \"action\" in step:\n", + " action = step.get(\"action\")\n", + " observation = step.get(\"observation\")\n", + " else:\n", + " continue\n", + "\n", + " tool_name = getattr(action, \"tool\", getattr(action, \"tool_name\", \"unknown\"))\n", + " tool_args = getattr(action, \"tool_input\", getattr(action, \"input\", None))\n", + " print(f\"\\n--- Tool: {tool_name}\")\n", + " print(f\"args: {tool_args}\")\n", + " if observation is not None:\n", + " print(f\"result: {observation}\")\n", + " print(\"---\\n\")\n", + "\n", + " return output\n", + " except Exception as e:\n", + " return f\"Error processing request: {str(e)}\"\n", + "\n", + "# Interactive function for easy testing\n", + "async def ask_assistant(question: str):\n", + " \"\"\"Easy-to-use function for asking the travel assistant\"\"\"\n", + " print(f\"🧳 User: {question}\")\n", + " print(\"🤖 Assistant:\")\n", + " \n", + " response = await process_user_input(question)\n", + " print(response)\n", + " return response\n", + "\n", + "print(\"💬 User input handler ready!\")" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "35960475", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loaded 8 MCP tools: ['search_courses', 'get_course_details', 'search_and_format_courses', 'get_course_categories', 'get_courses_for_role', 'book_course', 'get_course_availability_info', 'search_employees']\n", + "MCP HTTP server connected successfully!\n", + "Available tools: ['search_courses', 'get_course_details', 'search_and_format_courses', 'get_course_categories', 'get_courses_for_role', 'book_course', 'get_course_availability_info', 'search_employees']\n", + " - search_courses: Search for IT training courses with optional filters\n", + "\n", + "Args:\n", + " category: Course category to filter by. Available categories:\n", + " - programming (Python, Java, JavaScript, etc.)\n", + " - cloud (AWS, Azure, GCP)\n", + " - devops (Docker, Kubernetes, CI/CD)\n", + " - data (Data Science, Machine Learning)\n", + " - security (Cybersecurity, Ethical Hacking)\n", + " - web (Frontend, Backend, Full-stack)\n", + " - mobile (iOS, Android, React Native)\n", + " - database (SQL, NoSQL)\n", + " You can search multiple categories by separating with commas (e.g., \"programming,web\")\n", + " level: Difficulty level - \"beginner\", \"intermediate\", or \"advanced\"\n", + " role: Target job role to filter by. Available roles from HR system:\n", + " - Senior Developer\n", + " - Project Manager\n", + " - Data Analyst\n", + " - Security Engineer\n", + " - UI/UX Designer\n", + " - Cloud Architect\n", + " - ML Engineer\n", + " - Business Analyst\n", + " - DevOps Engineer\n", + " - Technical Writer\n", + " \n", + "Returns:\n", + " CoursesList object as dictionary with matching courses\n", + "\n", + " - get_course_details: Get detailed information about a specific IT course\n", + "\n", + "Args:\n", + " course_id: Unique identifier of the course (e.g., \"prog_001\", \"cloud_002\")\n", + " \n", + "Returns:\n", + " CourseDetails object as dictionary with full course information,\n", + " syllabus, learning outcomes, and enrollment details\n", + "\n", + " - search_and_format_courses: Search for courses and return formatted results for easy reading\n", + "\n", + "Args:\n", + " category: Course category to filter by (see search_courses for full list)\n", + " level: Difficulty level - \"beginner\", \"intermediate\", or \"advanced\"\n", + " role: Target job role to filter by (see search_courses for full list)\n", + " \n", + "Returns:\n", + " Formatted string with course search results\n", + "\n", + " - get_course_categories: Get list of all available course categories\n", + "\n", + "Returns:\n", + " Dictionary with list of available categories and their descriptions\n", + "\n", + " - get_courses_for_role: Get recommended courses for a specific job role from the HR system\n", + "\n", + "Args:\n", + " role: Target job role. Available roles:\n", + " - Senior Developer\n", + " - Project Manager\n", + " - Data Analyst\n", + " - Security Engineer\n", + " - UI/UX Designer\n", + " - Cloud Architect\n", + " - ML Engineer\n", + " - Business Analyst\n", + " - DevOps Engineer\n", + " - Technical Writer\n", + "\n", + "Returns:\n", + " Dictionary with courses organized by level for the specified role\n", + "\n", + " - book_course: Book a student into a course and update availability\n", + "\n", + "Args:\n", + " course_id: ID of the course to book (e.g., \"prog_001\", \"cloud_002\")\n", + " student_name: Full name of the student\n", + " email: Student's email address\n", + " phone: Optional phone number\n", + " special_requirements: Optional special requirements or accessibility needs\n", + "\n", + "Returns:\n", + " Dictionary with booking confirmation details, updated places_booked and places_available\n", + "\n", + " - get_course_availability_info: Get current availability information for a specific course\n", + "\n", + "Args:\n", + " course_id: ID of the course to check (e.g., \"prog_001\", \"cloud_002\")\n", + "\n", + "Returns:\n", + " Dictionary with current booking status, places booked, and places available\n", + "\n", + " - search_employees: search employees by department, position, and/or completed courses\n" + ] + } + ], + "source": [ + "# Test MCP server connectivity and tools\n", + "async def test_mcp_connection():\n", + " \"\"\"Test MCP server connection and list available tools\"\"\"\n", + " tools = await create_mcp_tools()\n", + " if tools:\n", + " print(f\"MCP HTTP server connected successfully!\")\n", + " print(f\"Available tools: {[tool.name for tool in tools]}\")\n", + " for tool in tools:\n", + " print(f\" - {tool.name}: {tool.description}\")\n", + " else:\n", + " print(\"Failed to connect to MCP HTTP server\")\n", + "\n", + "# Test MCP HTTP connection\n", + "await test_mcp_connection()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "ff5b259b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🧳 User: Please provide me with a list of courses for the category 'programming'.\n", + "🤖 Assistant:\n", + "\n", + "\n", + "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n", + "\u001b[32;1m\u001b[1;3m\n", + "Invoking: `search_and_format_courses` with `{'category': 'programming', 'level': None, 'role': None}`\n", + "\n", + "\n", + "\u001b[0m\u001b[38;5;200m\u001b[1;3mFound 3 course(s) in category: programming\n", + "\n", + "📚 Python Programming Fundamentals\n", + " ID: prog_001\n", + " Category: Programming\n", + " Level: Beginner\n", + " Duration: 8 weeks\n", + " Start Date: 2026-02-01\n", + " Instructor: Dr. Sarah Chen\n", + " Price: $299.99\n", + " Availability: 18/30 booked (12 places available)\n", + " Target Roles: Senior Developer, Data Analyst, ML Engineer\n", + " Description: Learn Python from scratch with hands-on projects covering data structures, OOP, and web development basics.\n", + "\n", + "📚 Advanced JavaScript and TypeScript\n", + " ID: prog_002\n", + " Category: Programming\n", + " Level: Intermediate\n", + " Duration: 12 weeks\n", + " Start Date: 2026-02-15\n", + " Instructor: Michael Rodriguez\n", + " Price: $399.99\n", + " Availability: 15/25 booked (10 places available)\n", + " Target Roles: Senior Developer, UI/UX Designer\n", + " Description: Master modern JavaScript ES6+ and TypeScript for building scalable web applications.\n", + "\n", + "📚 Java Spring Boot Microservices\n", + " ID: prog_003\n", + " Category: Programming\n", + " Level: Advanced\n", + " Duration: 10 weeks\n", + " Start Date: 2026-03-01\n", + " Instructor: James Wilson\n", + " Price: $549.99\n", + " Availability: 12/20 booked (8 places available)\n", + " Target Roles: Senior Developer, Cloud Architect\n", + " Description: Build enterprise-grade microservices with Java Spring Boot, Docker, and Kubernetes.\n", + "\n", + "\u001b[0m\u001b[32;1m\u001b[1;3mHere are the available programming courses I found:\n", + "\n", + "- Python Programming Fundamentals (ID: prog_001) \n", + " Level: Beginner | Duration: 8 weeks | Start Date: 2026-02-01 \n", + " Instructor: Dr. Sarah Chen | Price: $299.99 \n", + " Availability: 12 places available (18/30 booked) \n", + " Target roles: Senior Developer, Data Analyst, ML Engineer \n", + " Short description: Learn Python from scratch with hands-on projects covering data structures, OOP, and web basics.\n", + "\n", + "- Advanced JavaScript and TypeScript (ID: prog_002) \n", + " Level: Intermediate | Duration: 12 weeks | Start Date: 2026-02-15 \n", + " Instructor: Michael Rodriguez | Price: $399.99 \n", + " Availability: 10 places available (15/25 booked) \n", + " Target roles: Senior Developer, UI/UX Designer \n", + " Short description: Master modern JavaScript ES6+ and TypeScript for building scalable web applications.\n", + "\n", + "- Java Spring Boot Microservices (ID: prog_003) \n", + " Level: Advanced | Duration: 10 weeks | Start Date: 2026-03-01 \n", + " Instructor: James Wilson | Price: $549.99 \n", + " Availability: 8 places available (12/20 booked) \n", + " Target roles: Senior Developer, Cloud Architect \n", + " Short description: Build enterprise-grade microservices with Spring Boot, Docker, and Kubernetes.\n", + "\n", + "Next steps I can help with:\n", + "- Get full course details for any course (syllabus, learning outcomes, enrollment rules) — tell me the course ID. \n", + "- Check current availability for a course. \n", + "- Book a course for an employee (I can complete the booking if you provide employee name, email, phone (optional), and any special requirements).\n", + "\n", + "Would you like full details or to book any of these? If you want filters (level or target role) I can refine the list.\u001b[0m\n", + "\n", + "\u001b[1m> Finished chain.\u001b[0m\n", + "Here are the available programming courses I found:\n", + "\n", + "- Python Programming Fundamentals (ID: prog_001) \n", + " Level: Beginner | Duration: 8 weeks | Start Date: 2026-02-01 \n", + " Instructor: Dr. Sarah Chen | Price: $299.99 \n", + " Availability: 12 places available (18/30 booked) \n", + " Target roles: Senior Developer, Data Analyst, ML Engineer \n", + " Short description: Learn Python from scratch with hands-on projects covering data structures, OOP, and web basics.\n", + "\n", + "- Advanced JavaScript and TypeScript (ID: prog_002) \n", + " Level: Intermediate | Duration: 12 weeks | Start Date: 2026-02-15 \n", + " Instructor: Michael Rodriguez | Price: $399.99 \n", + " Availability: 10 places available (15/25 booked) \n", + " Target roles: Senior Developer, UI/UX Designer \n", + " Short description: Master modern JavaScript ES6+ and TypeScript for building scalable web applications.\n", + "\n", + "- Java Spring Boot Microservices (ID: prog_003) \n", + " Level: Advanced | Duration: 10 weeks | Start Date: 2026-03-01 \n", + " Instructor: James Wilson | Price: $549.99 \n", + " Availability: 8 places available (12/20 booked) \n", + " Target roles: Senior Developer, Cloud Architect \n", + " Short description: Build enterprise-grade microservices with Spring Boot, Docker, and Kubernetes.\n", + "\n", + "Next steps I can help with:\n", + "- Get full course details for any course (syllabus, learning outcomes, enrollment rules) — tell me the course ID. \n", + "- Check current availability for a course. \n", + "- Book a course for an employee (I can complete the booking if you provide employee name, email, phone (optional), and any special requirements).\n", + "\n", + "Would you like full details or to book any of these? If you want filters (level or target role) I can refine the list.\n", + "\n", + "==================================================\n", + "\n" + ] + } + ], + "source": [ + "# 🚀 EXAMPLE USAGE - Run this cell after setting up your API key!\n", + "\n", + "# Simple question\n", + "await ask_assistant(\"Please provide me with a list of courses for the category 'programming'.\")\n", + "print(\"\\n\" + \"=\"*50 + \"\\n\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8baff071", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Type 'exit' to quit. Press Enter on an empty line to skip.\n", + "🧳 User: What top 3 courses have the most availability\n", + "🤖 Assistant:\n", + "\n", + "\n", + "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n", + "\u001b[32;1m\u001b[1;3m\n", + "Invoking: `get_course_availability_info` with `{'course_id': 'prog_001'}`\n", + "\n", + "\n", + "\u001b[0m\u001b[32;1m\u001b[1;3m\n", + "Invoking: `get_course_availability_info` with `{'course_id': 'prog_002'}`\n", + "\n", + "\n", + "\u001b[0m\u001b[32;1m\u001b[1;3m\n", + "Invoking: `get_course_availability_info` with `{'course_id': 'prog_003'}`\n", + "\n", + "\n", + "\u001b[0m\u001b[38;5;200m\u001b[1;3m{\n", + " \"course_id\": \"prog_003\",\n", + " \"course_title\": \"Java Spring Boot Microservices\",\n", + " \"max_students\": 20,\n", + " \"places_booked\": 12,\n", + " \"places_available\": 8,\n", + " \"is_full\": false\n", + "}\u001b[0m\u001b[38;5;200m\u001b[1;3m{\n", + " \"course_id\": \"prog_001\",\n", + " \"course_title\": \"Python Programming Fundamentals\",\n", + " \"max_students\": 30,\n", + " \"places_booked\": 18,\n", + " \"places_available\": 12,\n", + " \"is_full\": false\n", + "}\u001b[0m\u001b[38;5;200m\u001b[1;3m{\n", + " \"course_id\": \"prog_002\",\n", + " \"course_title\": \"Advanced JavaScript and TypeScript\",\n", + " \"max_students\": 25,\n", + " \"places_booked\": 15,\n", + " \"places_available\": 10,\n", + " \"is_full\": false\n", + "}\u001b[0m\u001b[32;1m\u001b[1;3mHere are the top 3 programming courses ranked by current places available:\n", + "\n", + "1. Python Programming Fundamentals (ID: prog_001) — 12 places available (18/30 booked) \n", + "2. Advanced JavaScript and TypeScript (ID: prog_002) — 10 places available (15/25 booked) \n", + "3. Java Spring Boot Microservices (ID: prog_003) — 8 places available (12/20 booked)\n", + "\n", + "Would you like me to reserve any of these for an employee, check the full course details (syllabus, outcomes, start dates), or watch availability and notify you if it changes?\u001b[0m\n", + "\n", + "\u001b[1m> Finished chain.\u001b[0m\n", + "Here are the top 3 programming courses ranked by current places available:\n", + "\n", + "1. Python Programming Fundamentals (ID: prog_001) — 12 places available (18/30 booked) \n", + "2. Advanced JavaScript and TypeScript (ID: prog_002) — 10 places available (15/25 booked) \n", + "3. Java Spring Boot Microservices (ID: prog_003) — 8 places available (12/20 booked)\n", + "\n", + "Would you like me to reserve any of these for an employee, check the full course details (syllabus, outcomes, start dates), or watch availability and notify you if it changes?\n", + "🧳 User: how did you identify the top 3 courses,\n", + "🤖 Assistant:\n", + "\n", + "\n", + "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n", + "\u001b[32;1m\u001b[1;3mI took the programming-course list and ranked them by their current \"places available\" value, then returned the top three. Concretely:\n", + "\n", + "- I retrieved all courses in the \"programming\" category. \n", + "- For each course I read the places_available field (e.g., 12, 10, 8). \n", + "- I sorted the courses in descending order by that number and selected the first three.\n", + "\n", + "Notes:\n", + "- If two courses had the same number of places available I would use a stable tie-breaker (e.g., course ID or start date). \n", + "- Availability is live data and can change quickly—if you want an up-to-the-minute check I can re-query availability for any course or refresh the list now.\u001b[0m\n", + "\n", + "\u001b[1m> Finished chain.\u001b[0m\n", + "I took the programming-course list and ranked them by their current \"places available\" value, then returned the top three. Concretely:\n", + "\n", + "- I retrieved all courses in the \"programming\" category. \n", + "- For each course I read the places_available field (e.g., 12, 10, 8). \n", + "- I sorted the courses in descending order by that number and selected the first three.\n", + "\n", + "Notes:\n", + "- If two courses had the same number of places available I would use a stable tie-breaker (e.g., course ID or start date). \n", + "- Availability is live data and can change quickly—if you want an up-to-the-minute check I can re-query availability for any course or refresh the list now.\n", + "🧳 User: Can you identify candidates for a python course\n", + "🤖 Assistant:\n", + "\n", + "\n", + "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n", + "\u001b[32;1m\u001b[1;3m\n", + "Invoking: `search_employees` with `{'position': 'Senior Developer'}`\n", + "\n", + "\n", + "\u001b[0m\u001b[32;1m\u001b[1;3m\n", + "Invoking: `search_employees` with `{'position': 'Data Analyst'}`\n", + "\n", + "\n", + "\u001b[0m\u001b[32;1m\u001b[1;3m\n", + "Invoking: `search_employees` with `{'position': 'ML Engineer'}`\n", + "\n", + "\n", + "\u001b[0m\u001b[31;1m\u001b[1;3m{\n", + " \"total_count\": 1,\n", + " \"employees\": [\n", + " {\n", + " \"id\": 101,\n", + " \"name\": \"Alice Johnson\",\n", + " \"email\": \"alice.johnson@example.com\",\n", + " \"phone\": \"+1-202-555-0123\",\n", + " \"department\": \"Software Engineering\",\n", + " \"position\": \"Senior Developer\",\n", + " \"completed_courses\": [\n", + " \"prog_001\",\n", + " \"prog_002\"\n", + " ]\n", + " }\n", + " ]\n", + "}\u001b[0m\u001b[31;1m\u001b[1;3m{\n", + " \"total_count\": 1,\n", + " \"employees\": [\n", + " {\n", + " \"id\": 103,\n", + " \"name\": \"Clara Martinez\",\n", + " \"email\": \"clara.martinez@example.com\",\n", + " \"phone\": \"+1-202-555-0789\",\n", + " \"department\": \"Data Science\",\n", + " \"position\": \"Data Analyst\",\n", + " \"completed_courses\": [\n", + " \"data_001\",\n", + " \"data_002\"\n", + " ]\n", + " }\n", + " ]\n", + "}\u001b[0m\u001b[31;1m\u001b[1;3m{\n", + " \"total_count\": 1,\n", + " \"employees\": [\n", + " {\n", + " \"id\": 107,\n", + " \"name\": \"Grace Chen\",\n", + " \"email\": \"grace.chen@example.com\",\n", + " \"phone\": \"+1-202-555-0255\",\n", + " \"department\": \"Data Science\",\n", + " \"position\": \"ML Engineer\",\n", + " \"completed_courses\": [\n", + " \"data_001\",\n", + " \"data_002\"\n", + " ]\n", + " }\n", + " ]\n", + "}\u001b[0m\u001b[32;1m\u001b[1;3m\n", + "Invoking: `get_course_availability_info` with `{'course_id': 'prog_001'}`\n", + "\n", + "\n", + "\u001b[0m\u001b[38;5;200m\u001b[1;3m{\n", + " \"course_id\": \"prog_001\",\n", + " \"course_title\": \"Python Programming Fundamentals\",\n", + " \"max_students\": 30,\n", + " \"places_booked\": 18,\n", + " \"places_available\": 12,\n", + " \"is_full\": false\n", + "}\u001b[0m\u001b[32;1m\u001b[1;3mI searched the HR system for roles that commonly take Python training (Senior Developer, Data Analyst, ML Engineer) and checked course availability. Here are the candidate results and next steps.\n", + "\n", + "Candidates\n", + "- Alice Johnson (ID 101) — Senior Developer, Software Engineering \n", + " Email: alice.johnson@example.com | Phone: +1-202-555-0123 \n", + " Completed courses: prog_001, prog_002 \n", + " Note: She has already completed “Python Programming Fundamentals” (prog_001), so she’s not a candidate for that fundamentals course. She could be a candidate for an advanced Python / specialized Python course instead.\n", + "\n", + "- Clara Martinez (ID 103) — Data Analyst, Data Science \n", + " Email: clara.martinez@example.com | Phone: +1-202-555-0789 \n", + " Completed courses: data_001, data_002 \n", + " Eligible for Python Programming Fundamentals (prog_001).\n", + "\n", + "- Grace Chen (ID 107) — ML Engineer, Data Science \n", + " Email: grace.chen@example.com | Phone: +1-202-555-0255 \n", + " Completed courses: data_001, data_002 \n", + " Eligible for Python Programming Fundamentals (prog_001).\n", + "\n", + "Course availability (Python Programming Fundamentals)\n", + "- Course ID: prog_001 — places available: 12 (places_booked: 18 / max_students: 30)\n", + "\n", + "Would you like me to:\n", + "- Enroll Clara and/or Grace now into prog_001 (I can book them using the emails/phone numbers above), or\n", + "- Search for an advanced Python course for Alice, or\n", + "- Run a wider search to find more candidates across other departments/positions?\n", + "\n", + "If you want me to book anyone, tell me which employee(s) to enroll and any special requirements (or I can proceed with the details we have).\u001b[0m\n", + "\n", + "\u001b[1m> Finished chain.\u001b[0m\n", + "I searched the HR system for roles that commonly take Python training (Senior Developer, Data Analyst, ML Engineer) and checked course availability. Here are the candidate results and next steps.\n", + "\n", + "Candidates\n", + "- Alice Johnson (ID 101) — Senior Developer, Software Engineering \n", + " Email: alice.johnson@example.com | Phone: +1-202-555-0123 \n", + " Completed courses: prog_001, prog_002 \n", + " Note: She has already completed “Python Programming Fundamentals” (prog_001), so she’s not a candidate for that fundamentals course. She could be a candidate for an advanced Python / specialized Python course instead.\n", + "\n", + "- Clara Martinez (ID 103) — Data Analyst, Data Science \n", + " Email: clara.martinez@example.com | Phone: +1-202-555-0789 \n", + " Completed courses: data_001, data_002 \n", + " Eligible for Python Programming Fundamentals (prog_001).\n", + "\n", + "- Grace Chen (ID 107) — ML Engineer, Data Science \n", + " Email: grace.chen@example.com | Phone: +1-202-555-0255 \n", + " Completed courses: data_001, data_002 \n", + " Eligible for Python Programming Fundamentals (prog_001).\n", + "\n", + "Course availability (Python Programming Fundamentals)\n", + "- Course ID: prog_001 — places available: 12 (places_booked: 18 / max_students: 30)\n", + "\n", + "Would you like me to:\n", + "- Enroll Clara and/or Grace now into prog_001 (I can book them using the emails/phone numbers above), or\n", + "- Search for an advanced Python course for Alice, or\n", + "- Run a wider search to find more candidates across other departments/positions?\n", + "\n", + "If you want me to book anyone, tell me which employee(s) to enroll and any special requirements (or I can proceed with the details we have).\n", + "🧳 User: Can you book Clara Martinez on the course\n", + "🤖 Assistant:\n", + "\n", + "\n", + "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n", + "\u001b[32;1m\u001b[1;3m\n", + "Invoking: `book_course` with `{'course_id': 'prog_001', 'student_name': 'Clara Martinez', 'email': 'clara.martinez@example.com', 'phone': '+1-202-555-0789'}`\n", + "\n", + "\n", + "\u001b[0m\u001b[33;1m\u001b[1;3m{\n", + " \"success\": true,\n", + " \"booking_id\": \"BKB0939A69\",\n", + " \"course_id\": \"prog_001\",\n", + " \"student_name\": \"Clara Martinez\",\n", + " \"message\": \"Successfully booked Clara Martinez into 'Python Programming Fundamentals'\",\n", + " \"places_booked\": 19,\n", + " \"places_available\": 11\n", + "}\u001b[0m\u001b[32;1m\u001b[1;3mClara Martinez has been successfully booked into Python Programming Fundamentals (prog_001). Booking ID: BKB0939A69. There are now 11 places available.\n", + "\n", + "Would you like a calendar invite sent to her, add this booking to your training report, or enroll anyone else?\u001b[0m\n", + "\n", + "\u001b[1m> Finished chain.\u001b[0m\n", + "Clara Martinez has been successfully booked into Python Programming Fundamentals (prog_001). Booking ID: BKB0939A69. There are now 11 places available.\n", + "\n", + "Would you like a calendar invite sent to her, add this booking to your training report, or enroll anyone else?\n" + ] + } + ], + "source": [ + "# Interactive chat loop — keep asking questions until you exit\n", + "\n", + "# try -\n", + "# Please give me a list of all courses\n", + "\n", + "\n", + "async def chat_loop():\n", + " print(\"Type 'exit' to quit. Press Enter on an empty line to skip.\")\n", + " while True:\n", + " try:\n", + " question = input(\"You: \").strip()\n", + " except (EOFError, KeyboardInterrupt):\n", + " print(\"\\nExiting.\")\n", + " break\n", + " if not question:\n", + " continue\n", + " if question.lower() in (\"exit\", \"quit\", \"q\"):\n", + " print(\"Goodbye!\")\n", + " break\n", + " await ask_assistant(question)\n", + "\n", + "# Start the loop\n", + "await chat_loop()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9520429f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🧹 Cleanup function ready!\n" + ] + } + ], + "source": [ + "# Cleanup function for HTTP MCP client\n", + "async def cleanup_mcp():\n", + " \"\"\"Cleanup MCP client and server resources\"\"\"\n", + " global mcp_client\n", + " if mcp_client:\n", + " try:\n", + " await mcp_client.close()\n", + " print(\"MCP client closed\")\n", + " except Exception as e:\n", + " print(f\"Warning: Error closing MCP client: {e}\")\n", + " mcp_client = None\n", + "\n", + "print(\"🧹 Cleanup function ready!\")" + ] + } + ], + "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": "3.13.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/src/mcp/courses-mcp/README.md b/src/mcp/courses-mcp/README.md new file mode 100644 index 0000000..e69de29 diff --git a/src/mcp/courses-mcp/courses_service.py b/src/mcp/courses-mcp/courses_service.py new file mode 100644 index 0000000..2e78685 --- /dev/null +++ b/src/mcp/courses-mcp/courses_service.py @@ -0,0 +1,623 @@ +""" +IT Courses service - Business logic for managing and searching IT courses. +""" + +from typing import Dict, Any, Optional, List +from models import Course, CourseDetails, CoursesList, BookingRequest, BookingResponse +import random +import uuid +from datetime import datetime, timedelta + + +# Mock database of IT courses +MOCK_COURSES = [ + # Programming courses + Course( + id="prog_001", + title="Python Programming Fundamentals", + duration="8 weeks", + start_date="2026-02-01", + description="Learn Python from scratch with hands-on projects covering data structures, OOP, and web development basics.", + category="programming", + level="beginner", + instructor="Dr. Sarah Chen", + price=299.99, + max_students=30, + places_booked=18, + prerequisites=[], + skills_covered=["Python basics", "Data structures", "File handling", "APIs", "Testing"], + role=["Developer", "Data Analyst", "ML Engineer"] + ), + Course( + id="prog_002", + title="Advanced JavaScript and TypeScript", + duration="12 weeks", + start_date="2026-02-15", + description="Master modern JavaScript ES6+ and TypeScript for building scalable web applications.", + category="programming", + level="intermediate", + instructor="Michael Rodriguez", + price=399.99, + max_students=25, + places_booked=15, + prerequisites=["Basic JavaScript knowledge"], + skills_covered=["ES6+", "TypeScript", "Async programming", "Design patterns"], + role=["Developer", "UI/UX Designer"] + ), + Course( + id="prog_003", + title="Java Spring Boot Microservices", + duration="10 weeks", + start_date="2026-03-01", + description="Build enterprise-grade microservices with Java Spring Boot, Docker, and Kubernetes.", + category="programming", + level="advanced", + instructor="James Wilson", + price=549.99, + max_students=20, + places_booked=12, + prerequisites=["Java fundamentals", "REST APIs"], + skills_covered=["Spring Boot", "Microservices", "Docker", "REST APIs", "Testing"], + role=["Developer", "Cloud Architect"] + ), + + # Cloud courses + Course( + id="cloud_001", + title="AWS Solutions Architect Associate", + duration="12 weeks", + start_date="2026-02-10", + description="Comprehensive preparation for AWS Solutions Architect Associate certification with hands-on labs.", + category="cloud", + level="intermediate", + instructor="Lisa Thompson", + price=599.99, + max_students=35, + places_booked=28, + prerequisites=["Basic cloud concepts"], + skills_covered=["EC2", "S3", "VPC", "Lambda", "RDS", "IAM"], + role=["Cloud Architect", "DevOps Engineer"] + ), + Course( + id="cloud_002", + title="Azure Fundamentals AZ-900", + duration="6 weeks", + start_date="2026-02-20", + description="Introduction to Microsoft Azure cloud services and preparation for AZ-900 certification.", + category="cloud", + level="beginner", + instructor="David Park", + price=349.99, + max_students=40, + places_booked=32, + prerequisites=[], + skills_covered=["Azure services", "Cloud concepts", "Security", "Compliance"], + role=["Cloud Architect", "Developer"] + ), + Course( + id="cloud_003", + title="Google Cloud Platform Professional", + duration="14 weeks", + start_date="2026-03-15", + description="Advanced GCP architecture, deployment, and optimization strategies for enterprise solutions.", + category="cloud", + level="advanced", + instructor="Maria Garcia", + price=699.99, + max_students=25, + places_booked=20, + prerequisites=["Cloud architecture basics", "Networking fundamentals"], + skills_covered=["GCP services", "BigQuery", "Kubernetes Engine", "Cloud Functions"], + role=["Cloud Architect", "DevOps Engineer"] + ), + + # DevOps courses + Course( + id="devops_001", + title="Docker and Kubernetes Mastery", + duration="10 weeks", + start_date="2026-02-05", + description="Complete containerization and orchestration with Docker and Kubernetes for production environments.", + category="devops", + level="intermediate", + instructor="Alex Kumar", + price=449.99, + max_students=30, + places_booked=22, + prerequisites=["Linux basics", "Basic networking"], + skills_covered=["Docker", "Kubernetes", "Helm", "CI/CD", "Monitoring"], + role=["DevOps Engineer", "Cloud Architect"] + ), + Course( + id="devops_002", + title="CI/CD Pipeline with Jenkins and GitLab", + duration="8 weeks", + start_date="2026-02-25", + description="Build robust CI/CD pipelines using Jenkins, GitLab CI, and infrastructure as code.", + category="devops", + level="intermediate", + instructor="Tom Anderson", + price=399.99, + max_students=25, + places_booked=19, + prerequisites=["Git", "Basic scripting"], + skills_covered=["Jenkins", "GitLab CI", "Pipeline as Code", "Testing automation"], + role=["DevOps Engineer", "Developer"] + ), + + # Data courses + Course( + id="data_001", + title="Data Science with Python", + duration="16 weeks", + start_date="2026-02-01", + description="Comprehensive data science bootcamp covering statistics, ML, and deep learning with Python.", + category="data", + level="intermediate", + instructor="Dr. Emily Watson", + price=799.99, + max_students=30, + places_booked=25, + prerequisites=["Python basics", "Basic statistics"], + skills_covered=["Pandas", "NumPy", "Scikit-learn", "TensorFlow", "Data visualization", "database"], + role=["Data Analyst", "ML Engineer"] + ), + Course( + id="data_002", + title="Machine Learning Engineering", + duration="12 weeks", + start_date="2026-03-01", + description="Build and deploy ML models at scale with MLOps best practices.", + category="data", + level="advanced", + instructor="Dr. Robert Lee", + price=899.99, + max_students=20, + places_booked=16, + prerequisites=["ML fundamentals", "Python", "Cloud basics"], + skills_covered=["MLOps", "Model deployment", "A/B testing", "Feature engineering"], + role=["ML Engineer", "Data Analyst"] + ), + + # Security courses + Course( + id="sec_001", + title="Cybersecurity Fundamentals", + duration="10 weeks", + start_date="2026-02-15", + description="Essential cybersecurity concepts, threat analysis, and defensive strategies.", + category="security", + level="beginner", + instructor="Kevin Miller", + price=449.99, + max_students=35, + places_booked=30, + prerequisites=[], + skills_covered=["Network security", "Cryptography", "Risk assessment", "Incident response"], + role=["Security Engineer"] + ), + Course( + id="sec_002", + title="Ethical Hacking and Penetration Testing", + duration="14 weeks", + start_date="2026-03-10", + description="Hands-on ethical hacking techniques and penetration testing methodologies.", + category="security", + level="advanced", + instructor="Hannah Black", + price=749.99, + max_students=25, + places_booked=18, + prerequisites=["Networking", "Linux", "Basic security concepts"], + skills_covered=["Penetration testing", "Vulnerability assessment", "Metasploit", "Web app security"], + role=["Security Engineer"] + ), + + # Web development courses + Course( + id="web_001", + title="Full-Stack Web Development with React and Node", + duration="20 weeks", + start_date="2026-02-01", + description="Build modern full-stack applications with React, Node.js, Express, and MongoDB.", + category="web", + level="intermediate", + instructor="Jennifer Adams", + price=899.99, + max_students=30, + places_booked=24, + prerequisites=["HTML/CSS", "JavaScript basics"], + skills_covered=["React", "Node.js", "Express", "MongoDB", "REST APIs", "Authentication"], + role=["Developer", "UI/UX Designer"] + ), + Course( + id="web_002", + title="Frontend Development with Vue.js", + duration="8 weeks", + start_date="2026-02-20", + description="Master Vue.js framework for building reactive and performant web applications.", + category="web", + level="intermediate", + instructor="Chris Taylor", + price=399.99, + max_students=25, + places_booked=20, + prerequisites=["JavaScript", "HTML/CSS"], + skills_covered=["Vue 3", "Vuex", "Vue Router", "Composition API", "Testing"], + role=["UI/UX Designer", "Developer"] + ), + + # Mobile courses + Course( + id="mobile_001", + title="iOS Development with Swift", + duration="12 weeks", + start_date="2026-02-10", + description="Build native iOS applications with Swift and SwiftUI for iPhone and iPad.", + category="mobile", + level="intermediate", + instructor="Daniel White", + price=599.99, + max_students=25, + places_booked=17, + prerequisites=["Programming basics"], + skills_covered=["Swift", "SwiftUI", "UIKit", "Core Data", "App Store deployment"], + role=["Developer", "UI/UX Designer"] + ), + Course( + id="mobile_002", + title="React Native Cross-Platform Development", + duration="10 weeks", + start_date="2026-03-05", + description="Build cross-platform mobile apps for iOS and Android with React Native.", + category="mobile", + level="intermediate", + instructor="Sophie Brown", + price=499.99, + max_students=30, + places_booked=23, + prerequisites=["React", "JavaScript"], + skills_covered=["React Native", "Expo", "Navigation", "Native modules", "Publishing"], + role=["Developer", "UI/UX Designer"] + ), + + # Database courses + Course( + id="db_001", + title="SQL and Database Design", + duration="8 weeks", + start_date="2026-02-01", + description="Master SQL querying and relational database design principles.", + category="database", + level="beginner", + instructor="Patricia Martinez", + price=349.99, + max_students=35, + places_booked=28, + prerequisites=[], + skills_covered=["SQL", "Database design", "Normalization", "Indexing", "Transactions"], + role=["Data Analyst", "Business Analyst", "Developer"] + ), + Course( + id="db_002", + title="NoSQL Databases: MongoDB and Redis", + duration="6 weeks", + start_date="2026-02-25", + description="Learn NoSQL database technologies with focus on MongoDB and Redis.", + category="database", + level="intermediate", + instructor="Ryan Johnson", + price=399.99, + max_students=30, + places_booked=21, + prerequisites=["Basic database concepts"], + skills_covered=["MongoDB", "Redis", "Data modeling", "Caching strategies", "Scaling"], + role=["Developer", "Data Analyst"] + ) +] + + +def search_courses_data(category: Optional[str] = None, level: Optional[str] = None, role: Optional[str] = None) -> Dict[str, Any]: + """ + Search for IT courses with optional filters. + + Args: + category: Course category to filter by (programming, cloud, devops, data, security, web, mobile, database) + level: Difficulty level (beginner, intermediate, advanced) + role: Target job role to filter by (e.g., "Developer", "Data Analyst") + + Returns: + Dictionary containing CoursesList data + """ + + filtered_courses = MOCK_COURSES.copy() + + # Filter by category if provided + if category: + # Support both single category and comma-separated categories + categories = [cat.strip().lower() for cat in category.split(',')] + filtered_courses = [ + course for course in filtered_courses + if course.category.lower() in categories + ] + + # Filter by level if provided + if level: + filtered_courses = [ + course for course in filtered_courses + if course.level and course.level.lower() == level.lower() + ] + + # Filter by role if provided + if role: + role_lower = role.lower() + filtered_courses = [ + course for course in filtered_courses + if course.role and any( + role_lower == r.lower() or role_lower in r.lower() + for r in course.role + ) + ] + + # Create CoursesList object + courses_list = CoursesList( + category=category, + total_count=len(filtered_courses), + courses=filtered_courses + ) + + # Convert to dictionary for JSON serialization + return { + "category": courses_list.category, + "total_count": courses_list.total_count, + "courses": [course_to_dict(course) for course in courses_list.courses] if courses_list.courses else [] + } + + +def get_course_details_data(course_id: str) -> Dict[str, Any]: + """ + Get detailed information about a specific course. + + Args: + course_id: Unique identifier of the course + + Returns: + Dictionary containing CourseDetails data or error + """ + + # Find the course + course = next((c for c in MOCK_COURSES if c.id == course_id), None) + + if not course: + return {"error": f"Course with ID '{course_id}' not found"} + + # Create CourseDetails with additional information + course_details = CourseDetails( + course=course, + syllabus=generate_syllabus(course), + learning_outcomes=generate_learning_outcomes(course), + certification=f"Certificate of Completion for {course.title}", + enrollment_count=random.randint(50, 200), + rating=round(random.uniform(4.0, 5.0), 1), + reviews_count=random.randint(20, 100) + ) + + # Get availability information + places_available = course.max_students - course.places_booked if course.max_students and course.places_booked else course.max_students + is_full = course.places_booked >= course.max_students if course.max_students and course.places_booked else False + + # Convert to dictionary + return { + "course": course_to_dict(course_details.course), + "syllabus": course_details.syllabus, + "learning_outcomes": course_details.learning_outcomes, + "certification": course_details.certification, + "enrollment_count": course_details.enrollment_count, + "rating": course_details.rating, + "reviews_count": course_details.reviews_count, + "booking_info": { + "max_students": course.max_students, + "places_booked": course.places_booked or 0, + "places_available": places_available, + "is_full": is_full, + "booking_status": "Full" if is_full else f"{places_available} places available" + } + } + + +def course_to_dict(course: Course) -> Dict[str, Any]: + """Convert Course object to dictionary.""" + return { + "id": course.id, + "title": course.title, + "duration": course.duration, + "start_date": course.start_date, + "description": course.description, + "category": course.category, + "level": course.level, + "instructor": course.instructor, + "price": course.price, + "max_students": course.max_students, + "places_booked": course.places_booked, + "prerequisites": course.prerequisites, + "skills_covered": course.skills_covered, + "role": course.role + } + + +def generate_syllabus(course: Course) -> List[str]: + """Generate a sample syllabus based on course duration.""" + weeks = int(course.duration.split()[0]) if "week" in course.duration else 4 + syllabus = [] + + for i in range(1, min(weeks + 1, 9)): + if i == 1: + syllabus.append(f"Week {i}: Introduction and Setup") + elif i == weeks: + syllabus.append(f"Week {i}: Final Project and Assessment") + else: + skill_index = (i - 2) % len(course.skills_covered) if course.skills_covered else 0 + if course.skills_covered and skill_index < len(course.skills_covered): + syllabus.append(f"Week {i}: {course.skills_covered[skill_index]}") + else: + syllabus.append(f"Week {i}: Advanced Topics") + + return syllabus + + +def generate_learning_outcomes(course: Course) -> List[str]: + """Generate learning outcomes based on course skills.""" + outcomes = [ + f"Understand the fundamentals of {course.category}", + f"Apply best practices in real-world projects" + ] + + if course.skills_covered: + for skill in course.skills_covered[:3]: + outcomes.append(f"Master {skill}") + + outcomes.append(f"Complete hands-on projects demonstrating proficiency") + + return outcomes + + +def format_courses_list(courses_data: Dict[str, Any]) -> str: + """Format courses list for display.""" + if not courses_data.get("courses"): + return "No courses found matching your criteria." + + formatted = f"Found {courses_data['total_count']} course(s)" + if courses_data.get("category"): + formatted += f" in category: {courses_data['category']}" + formatted += "\n\n" + + for course in courses_data["courses"]: + formatted += f"📚 {course['title']}\n" + formatted += f" ID: {course['id']}\n" + formatted += f" Category: {course['category'].title()}\n" + formatted += f" Level: {course.get('level', 'Not specified').title()}\n" + formatted += f" Duration: {course['duration']}\n" + formatted += f" Start Date: {course['start_date']}\n" + formatted += f" Instructor: {course.get('instructor', 'TBD')}\n" + formatted += f" Price: ${course.get('price', 0):.2f}\n" + max_students = course.get('max_students', 0) + places_booked = course.get('places_booked', 0) + available_places = max_students - places_booked if max_students and places_booked is not None else max_students + formatted += f" Availability: {places_booked}/{max_students} booked ({available_places} places available)\n" + if course.get('role'): + formatted += f" Target Roles: {', '.join(course.get('role', []))}\n" + formatted += f" Description: {course['description']}\n\n" + + return formatted + + +def get_available_categories() -> List[str]: + """Return list of available course categories.""" + return ["programming", "cloud", "devops", "data", "security", "web", "mobile", "database"] + + +def get_course_summary_prompt(category: Optional[str] = None) -> str: + """Generate a prompt for course recommendations.""" + if category: + return f"""Please help me find the best {category} courses available. I'm looking for courses that: +1. Match my skill level (please ask about my experience) +2. Fit my schedule and timeline +3. Provide practical, hands-on experience +4. Offer good value for money + +Can you search for {category} courses and provide recommendations based on my needs?""" + else: + return """Please help me choose the right IT course for my career goals. I'm interested in: +1. Understanding what courses are available +2. Finding courses that match my current skill level +3. Identifying which skills are most in-demand +4. Planning a learning path for career advancement + +Can you show me the available course categories and help me explore options?""" + + +def book_course_data(course_id: str, student_name: str, email: str, phone: Optional[str] = None, special_requirements: Optional[str] = None) -> Dict[str, Any]: + """ + Book a student into a course and update places_booked counter. + + Args: + course_id: ID of the course to book + student_name: Name of the student + email: Student's email address + phone: Optional phone number + special_requirements: Optional special requirements + + Returns: + Dictionary containing BookingResponse data + """ + # Find the course + course = next((c for c in MOCK_COURSES if c.id == course_id), None) + + if not course: + return { + "success": False, + "message": f"Course with ID '{course_id}' not found", + "course_id": course_id, + "student_name": student_name + } + + # Check if course is full + if course.places_booked and course.max_students and course.places_booked >= course.max_students: + return { + "success": False, + "message": f"Course '{course.title}' is fully booked ({course.places_booked}/{course.max_students})", + "course_id": course_id, + "student_name": student_name, + "places_booked": course.places_booked, + "places_available": 0 + } + + # Update places_booked counter + if course.places_booked is not None: + course.places_booked += 1 + else: + course.places_booked = 1 + + # Calculate available places + places_available = course.max_students - course.places_booked if course.max_students else None + + # Generate booking ID + booking_id = f"BK{str(uuid.uuid4())[:8].upper()}" + + # Create successful booking response + return { + "success": True, + "booking_id": booking_id, + "course_id": course_id, + "student_name": student_name, + "message": f"Successfully booked {student_name} into '{course.title}'", + "places_booked": course.places_booked, + "places_available": places_available + } + + +def get_course_availability(course_id: str) -> Dict[str, Any]: + """ + Get current availability information for a course. + + Args: + course_id: ID of the course + + Returns: + Dictionary with availability information + """ + course = next((c for c in MOCK_COURSES if c.id == course_id), None) + + if not course: + return {"error": f"Course with ID '{course_id}' not found"} + + places_available = course.max_students - course.places_booked if course.max_students and course.places_booked else course.max_students + + return { + "course_id": course_id, + "course_title": course.title, + "max_students": course.max_students, + "places_booked": course.places_booked or 0, + "places_available": places_available, + "is_full": course.places_booked >= course.max_students if course.max_students and course.places_booked else False + } \ No newline at end of file diff --git a/src/mcp/courses-mcp/main.py b/src/mcp/courses-mcp/main.py new file mode 100644 index 0000000..31e689d --- /dev/null +++ b/src/mcp/courses-mcp/main.py @@ -0,0 +1,306 @@ +""" +IT Courses MCP Server - Search and discover IT training courses. + +To run this server: + uv run mcp dev main.py + +Provides tools for searching IT courses by category and getting course details. +""" + +from typing import Dict, Any, Optional +from mcp.server.fastmcp import FastMCP + +from courses_service import ( + search_courses_data, + get_course_details_data, + format_courses_list, + get_available_categories, + get_course_summary_prompt, + book_course_data, + get_course_availability +) + +# Create an MCP server on port 8011 to avoid conflicts +mcp = FastMCP("IT Courses", port=8011) + +# Tools +@mcp.tool() +def search_courses(category: Optional[str] = None, level: Optional[str] = None, role: Optional[str] = None) -> Dict[str, Any]: + """Search for IT training courses with optional filters + + Args: + category: Course category to filter by. Available categories: + - programming (Python, Java, JavaScript, etc.) + - cloud (AWS, Azure, GCP) + - devops (Docker, Kubernetes, CI/CD) + - data (Data Science, Machine Learning) + - security (Cybersecurity, Ethical Hacking) + - web (Frontend, Backend, Full-stack) + - mobile (iOS, Android, React Native) + - database (SQL, NoSQL) + You can search multiple categories by separating with commas (e.g., "programming,web") + level: Difficulty level - "beginner", "intermediate", or "advanced" + role: Target job role to filter by. Available roles from HR system: + - Senior Developer + - Project Manager + - Data Analyst + - Security Engineer + - UI/UX Designer + - Cloud Architect + - ML Engineer + - Business Analyst + - DevOps Engineer + - Technical Writer + + Returns: + CoursesList object as dictionary with matching courses + """ + return search_courses_data(category, level, role) + +@mcp.tool() +def get_course_details(course_id: str) -> Dict[str, Any]: + """Get detailed information about a specific IT course + + Args: + course_id: Unique identifier of the course (e.g., "prog_001", "cloud_002") + + Returns: + CourseDetails object as dictionary with full course information, + syllabus, learning outcomes, and enrollment details + """ + return get_course_details_data(course_id) + +@mcp.tool() +def search_and_format_courses(category: Optional[str] = None, level: Optional[str] = None, role: Optional[str] = None) -> str: + """Search for courses and return formatted results for easy reading + + Args: + category: Course category to filter by (see search_courses for full list) + level: Difficulty level - "beginner", "intermediate", or "advanced" + role: Target job role to filter by (see search_courses for full list) + + Returns: + Formatted string with course search results + """ + courses_data = search_courses_data(category, level, role) + return format_courses_list(courses_data) + +@mcp.tool() +def get_course_categories() -> Dict[str, Any]: + """Get list of all available course categories + + Returns: + Dictionary with list of available categories and their descriptions + """ + categories = get_available_categories() + return { + "categories": categories, + "descriptions": { + "programming": "Programming languages and software development", + "cloud": "Cloud platforms (AWS, Azure, GCP)", + "devops": "DevOps tools and practices", + "data": "Data Science, ML, and Analytics", + "security": "Cybersecurity and Information Security", + "web": "Web development (Frontend, Backend, Full-stack)", + "mobile": "Mobile app development", + "database": "Database design and management" + } + } + +@mcp.tool() +def get_courses_for_role(role: str) -> Dict[str, Any]: + """Get recommended courses for a specific job role from the HR system + + Args: + role: Target job role. Available roles: + - Senior Developer + - Project Manager + - Data Analyst + - Security Engineer + - UI/UX Designer + - Cloud Architect + - ML Engineer + - Business Analyst + - DevOps Engineer + - Technical Writer + + Returns: + Dictionary with courses organized by level for the specified role + """ + # Search for all courses matching this role + all_courses = search_courses_data(role=role) + + # Organize by level + beginner_courses = [] + intermediate_courses = [] + advanced_courses = [] + + for course in all_courses.get("courses", []): + level = course.get("level", "").lower() + if level == "beginner": + beginner_courses.append(course) + elif level == "intermediate": + intermediate_courses.append(course) + elif level == "advanced": + advanced_courses.append(course) + + return { + "role": role, + "total_courses": all_courses.get("total_count", 0), + "courses_by_level": { + "beginner": beginner_courses, + "intermediate": intermediate_courses, + "advanced": advanced_courses + }, + "recommended_path": f"Start with beginner courses ({len(beginner_courses)}), " + f"then intermediate ({len(intermediate_courses)}), " + f"and finally advanced ({len(advanced_courses)}) courses." + } + +@mcp.tool() +def book_course(course_id: str, student_name: str, email: str, phone: Optional[str] = None, special_requirements: Optional[str] = None) -> Dict[str, Any]: + """Book a student into a course and update availability + + Args: + course_id: ID of the course to book (e.g., "prog_001", "cloud_002") + student_name: Full name of the student + email: Student's email address + phone: Optional phone number + special_requirements: Optional special requirements or accessibility needs + + Returns: + Dictionary with booking confirmation details, updated places_booked and places_available + """ + return book_course_data(course_id, student_name, email, phone, special_requirements) + +@mcp.tool() +def get_course_availability_info(course_id: str) -> Dict[str, Any]: + """Get current availability information for a specific course + + Args: + course_id: ID of the course to check (e.g., "prog_001", "cloud_002") + + Returns: + Dictionary with current booking status, places booked, and places available + """ + return get_course_availability(course_id) + +# Resources +@mcp.resource("courses://category/{category}") +def get_courses_by_category_resource(category: str) -> str: + """Get courses by category as a formatted resource""" + courses_data = search_courses_data(category=category) + return format_courses_list(courses_data) + +@mcp.resource("courses://level/{level}") +def get_courses_by_level_resource(level: str) -> str: + """Get courses by difficulty level as a formatted resource""" + courses_data = search_courses_data(level=level) + return format_courses_list(courses_data) + +@mcp.resource("course://{course_id}") +def get_course_resource(course_id: str) -> str: + """Get detailed course information as a formatted resource""" + course_data = get_course_details_data(course_id) + + if "error" in course_data: + return course_data["error"] + + course = course_data["course"] + formatted = f"📚 {course['title']}\n" + formatted += f"{'='*50}\n\n" + formatted += f"Course ID: {course['id']}\n" + formatted += f"Category: {course['category'].title()}\n" + formatted += f"Level: {course.get('level', 'Not specified').title()}\n" + formatted += f"Duration: {course['duration']}\n" + formatted += f"Start Date: {course['start_date']}\n" + formatted += f"Instructor: {course.get('instructor', 'TBD')}\n" + formatted += f"Price: ${course.get('price', 0):.2f}\n" + max_students = course.get('max_students', 0) + places_booked = course.get('places_booked', 0) + available_places = max_students - places_booked if max_students and places_booked is not None else max_students + formatted += f"Max Students: {max_students}\n" + formatted += f"Places Booked: {places_booked}\n" + formatted += f"Available Places: {available_places}\n\n" + formatted += f"Description:\n{course['description']}\n\n" + + if course.get('prerequisites'): + formatted += f"Prerequisites:\n" + for prereq in course['prerequisites']: + formatted += f" • {prereq}\n" + formatted += "\n" + + if course.get('skills_covered'): + formatted += f"Skills Covered:\n" + for skill in course['skills_covered']: + formatted += f" • {skill}\n" + formatted += "\n" + + if course.get('role'): + formatted += f"Target Roles:\n" + for role in course['role']: + formatted += f" • {role}\n" + formatted += "\n" + + if course_data.get('syllabus'): + formatted += f"Syllabus:\n" + for week in course_data['syllabus']: + formatted += f" • {week}\n" + formatted += "\n" + + if course_data.get('learning_outcomes'): + formatted += f"Learning Outcomes:\n" + for outcome in course_data['learning_outcomes']: + formatted += f" • {outcome}\n" + formatted += "\n" + + booking_info = course_data.get('booking_info', {}) + formatted += f"📊 Course Stats:\n" + formatted += f" • Enrolled Students: {course_data.get('enrollment_count', 0)}\n" + formatted += f" • Rating: {course_data.get('rating', 0)}/5.0 ({course_data.get('reviews_count', 0)} reviews)\n" + formatted += f" • Certification: {course_data.get('certification', 'Certificate of Completion')}\n" + formatted += f" • Booking Status: {booking_info.get('booking_status', 'Unknown')}\n" + formatted += f" • Places Booked: {booking_info.get('places_booked', 0)}/{booking_info.get('max_students', 'Unknown')}\n" + + return formatted + +@mcp.resource("courses://all") +def get_all_courses_resource() -> str: + """Get all available courses as a formatted resource""" + courses_data = search_courses_data() + return format_courses_list(courses_data) + +# Prompts +@mcp.prompt() +def course_recommendation_prompt(category: Optional[str] = None) -> str: + """Generate a prompt for course recommendations""" + return get_course_summary_prompt(category) + +@mcp.prompt() +def learning_path_prompt(target_role: str) -> str: + """Generate a prompt for creating a learning path""" + return f"""Please help me create a learning path to become a {target_role}. I need: +1. A sequence of courses to take in order +2. Estimated timeline for completing the path +3. Key skills I'll develop at each stage +4. Prerequisites I should have before starting +5. Career opportunities after completion + +Search for relevant courses and create a structured learning plan that will prepare me for a {target_role} role.""" + +@mcp.prompt() +def course_comparison_prompt(course_ids: str) -> str: + """Generate a prompt for comparing multiple courses""" + return f"""Please compare these courses (IDs: {course_ids}) and help me decide which one to take. Consider: +1. Content depth and breadth +2. Difficulty level and prerequisites +3. Time commitment and schedule +4. Instructor expertise +5. Price and value for money +6. Skills gained and career relevance +7. Student reviews and ratings + +Provide a detailed comparison and recommendation based on my goals.""" + +if __name__ == "__main__": + mcp.run("streamable-http") \ No newline at end of file diff --git a/src/mcp/courses-mcp/models.py b/src/mcp/courses-mcp/models.py new file mode 100644 index 0000000..fde7afd --- /dev/null +++ b/src/mcp/courses-mcp/models.py @@ -0,0 +1,73 @@ +""" +IT Courses data models - Data classes for course objects. +""" + +from dataclasses import dataclass +from typing import Optional, List +from datetime import datetime + + +@dataclass +class Course: + id: str + title: str + duration: str + start_date: str + description: str + category: str + level: Optional[str] = None + instructor: Optional[str] = None + price: Optional[float] = None + max_students: Optional[int] = None + places_booked: Optional[int] = None + prerequisites: Optional[List[str]] = None + skills_covered: Optional[List[str]] = None + role: Optional[List[str]] = None + + +@dataclass +class CourseDetails: + course: Course + syllabus: Optional[List[str]] = None + learning_outcomes: Optional[List[str]] = None + certification: Optional[str] = None + enrollment_count: Optional[int] = None + rating: Optional[float] = None + reviews_count: Optional[int] = None + + +@dataclass +class CoursesList: + category: Optional[str] = None + total_count: int = 0 + courses: List[Course] = None + + +@dataclass +class BookingRequest: + course_id: str + student_name: str + email: str + phone: Optional[str] = None + special_requirements: Optional[str] = None + + +@dataclass +class BookingResponse: + success: bool + booking_id: Optional[str] = None + course_id: Optional[str] = None + student_name: Optional[str] = None + message: Optional[str] = None + places_booked: Optional[int] = None + places_available: Optional[int] = None + + +@dataclass +class SearchFilters: + category: Optional[str] = None + level: Optional[str] = None + role: Optional[str] = None + duration_max: Optional[str] = None + start_date_from: Optional[str] = None + start_date_to: Optional[str] = None \ No newline at end of file diff --git a/src/mcp/courses-mcp/pyproject.toml b/src/mcp/courses-mcp/pyproject.toml new file mode 100644 index 0000000..f6c3ba3 --- /dev/null +++ b/src/mcp/courses-mcp/pyproject.toml @@ -0,0 +1,9 @@ +[project] +name = "courses-mcp" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.13" +dependencies = [ + "mcp[cli]>=1.14.1", +] diff --git a/src/mcp/courses-mcp/uv.lock b/src/mcp/courses-mcp/uv.lock new file mode 100644 index 0000000..4edd1f6 --- /dev/null +++ b/src/mcp/courses-mcp/uv.lock @@ -0,0 +1,486 @@ +version = 1 +revision = 3 +requires-python = ">=3.13" + +[[package]] +name = "annotated-types" +version = "0.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash 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b/src/mcp/hr-competency-mcp/competency_service.py new file mode 100644 index 0000000..13bfa1c --- /dev/null +++ b/src/mcp/hr-competency-mcp/competency_service.py @@ -0,0 +1,58 @@ +""" +hr competency service - employee lookup utilities. +""" + +from typing import Dict, Any, Optional, List +from config import MOCK_EMPLOYEES + + +def search_employees_data( + id: Optional[int] = None, + name: Optional[str] = None, + department: Optional[str] = None, + position: Optional[str] = None, + completed_course_id: Optional[str] = None, +) -> Dict[str, Any]: + """search employees by department, position, and/or completed courses.""" + filtered: List[Dict[str, Any]] = list(MOCK_EMPLOYEES) + + if id: + filtered = [e for e in filtered if e.get("id") == id] + + if name: + name_l = name.lower() + filtered = [ + e for e in filtered if (e.get("name") or "").lower() == name_l + ] + + if department: + dept_l = department.lower() + filtered = [ + e for e in filtered if (e.get("department") or "").lower() == dept_l + ] + + if position: + pos_l = position.lower() + filtered = [ + e for e in filtered if (e.get("position") or "").lower() == pos_l + ] + + if completed_course_id: + cid = str(completed_course_id) + filtered = [e for e in filtered if cid in (e.get("completed_courses") or [])] + + return { + "total_count": len(filtered), + "employees": [ + { + "id": e["id"], + "name": e["name"], + "email": e["email"], + "phone": e["phone"], + "department": e["department"], + "position": e["position"], + "completed_courses": e.get("completed_courses", []), + } + for e in filtered + ], + } diff --git a/src/mcp/hr-competency-mcp/config.py b/src/mcp/hr-competency-mcp/config.py new file mode 100644 index 0000000..a250d45 --- /dev/null +++ b/src/mcp/hr-competency-mcp/config.py @@ -0,0 +1,102 @@ +# Mock Employee Data +MOCK_EMPLOYEES = [ + { + "id": 101, + "name": "Alice Johnson", + "email": "alice.johnson@example.com", + "phone": "+1-202-555-0123", + "department": "Software Engineering", + "position": "Senior Developer", + "completed_courses": ["prog_001", "prog_002"] + }, + { + "id": 1011, + "name": "Joe Bloggs", + "email": "joe.bloggs@example.com", + "phone": "", + "department": "Software Engineering", + "position": "Principal Developer", + "completed_courses": ["prog_003"] + }, + { + "id": 1012, + "name": "Harry Potter", + "email": "harry.potter@example.com", + "phone": "", + "department": "Software Engineering", + "position": "Junior Developer", + "completed_courses": ["prog_001"] + }, + { + "id": 102, + "name": "Bob Smith", + "email": "bob.smith@example.com", + "phone": "+1-202-555-0456", + "department": "Project Management", + "position": "Project Manager", + "completed_courses": ["prog_003", "prog_004"] + }, + { + "id": 103, + "name": "Clara Martinez", + "email": "clara.martinez@example.com", + "phone": "+1-202-555-0789", + "department": "Data Science", + "position": "Data Analyst", + "completed_courses": ["data_001", "data_002"] + }, + { + "id": 104, + "name": "David Lee", + "email": "david.lee@example.com", + "phone": "+1-202-555-0114", + "department": "IT Security", + "position": "Security Engineer", + "completed_courses": ["sec_001", "sec_002"] + }, + { + "id": 105, + "name": "Emma Wilson", + "email": "emma.wilson@example.com", + "phone": "+1-202-555-0168", + "department": "Design", + "position": "UI/UX Designer", + "completed_courses": ["web_001", "web_002"] + }, + { + "id": 106, + "name": "Frank Adams", + "email": "frank.adams@example.com", + "phone": "+1-202-555-0200", + "department": "Cloud Engineering", + "position": "Cloud Architect", + "completed_courses": ["cloud_001", "cloud_002"] + }, + { + "id": 107, + "name": "Grace Chen", + "email": "grace.chen@example.com", + "phone": "+1-202-555-0255", + "department": "Data Science", + "position": "ML Engineer", + "completed_courses": ["data_001", "data_002"] + }, + { + "id": 109, + "name": "Isabella Rivera", + "email": "isabella.rivera@example.com", + "phone": "+1-202-555-0344", + "department": "Software Engineering", + "position": "DevOps Engineer", + "completed_courses": ["devops_001", "devops_002", "web_001"] + }, + { + "id": 110, + "name": "Jack Patel", + "email": "jack.patel@example.com", + "phone": "+1-202-555-0400", + "department": "Technical Writing", + "position": "Technical Writer", + "completed_courses": ["web_001", "web_002"] + } +] \ No newline at end of file diff --git a/src/mcp/hr-competency-mcp/main.py b/src/mcp/hr-competency-mcp/main.py new file mode 100644 index 0000000..93d59ae --- /dev/null +++ b/src/mcp/hr-competency-mcp/main.py @@ -0,0 +1,46 @@ +""" +hr competency mcp server - discover and explore competencies and related employees. + +to run this server: + uv run mcp dev main.py +""" + +from typing import Dict, Any, Optional +from mcp.server.fastmcp import FastMCP + +from competency_service import search_employees_data + + +# create an mcp server +mcp = FastMCP("hr-competency-mcp", port=8010) + + +# tools +@mcp.tool() +def search_employees( + id: Optional[int] = None, + name: Optional[str] = None, + department: Optional[str] = None, + position: Optional[str] = None, + completed_course_id: Optional[str] = None, +) -> Dict[str, Any]: + """search employees by department, position, and/or completed courses""" + return search_employees_data(id, name, department, position, completed_course_id) + +@mcp.resource("employees://search/{id}/{name}/{department}/{position}/{completed_course_id}") +def employees_resource(id: int, name: str, department: str, position: str, completed_course_id: str) -> str: + data = search_employees_data(id, name, department, position, completed_course_id) + formatted = f"found {data.get('total_count', 0)} employee(s)\n\n" + for e in data["employees"][:50]: + formatted += f"👤 {e['name']}\n" + formatted += f" id: {e['id']}\n" + formatted += f" email: {e['email']}\n" + formatted += f" phone: {e['phone']}\n" + formatted += f" department: {e['department']}\n" + formatted += f" position: {e['position']}\n" + formatted += f" completed_courses: {', '.join(e.get('completed_courses') or [])}\n\n" + return formatted + +# no resources are defined; use the tool-only api +if __name__ == "__main__": + mcp.run(transport="streamable-http") \ No newline at end of file diff --git a/src/mcp/hr-competency-mcp/models.py b/src/mcp/hr-competency-mcp/models.py new file mode 100644 index 0000000..550fef6 --- /dev/null +++ b/src/mcp/hr-competency-mcp/models.py @@ -0,0 +1,16 @@ +""" +HR competency data models - Data classes for hr competency objects. +""" + +from dataclasses import dataclass +from typing import List + +@dataclass +class Employee: + id: int + name: str + email: str + phone: str + department: str + position: str + completed_courses: List[str] # ids of the courses completed diff --git a/src/mcp/hr-competency-mcp/pyproject.toml b/src/mcp/hr-competency-mcp/pyproject.toml new file mode 100644 index 0000000..727b0a4 --- /dev/null +++ b/src/mcp/hr-competency-mcp/pyproject.toml @@ -0,0 +1,9 @@ +[project] +name = "hr-competency-mcp" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.11" +dependencies = [ + "mcp[cli]>=1.14.1", +] diff --git a/src/mcp/hr-competency-mcp/utils.py b/src/mcp/hr-competency-mcp/utils.py new file mode 100644 index 0000000..e7e78f9 --- /dev/null +++ b/src/mcp/hr-competency-mcp/utils.py @@ -0,0 +1,45 @@ +""" +Utility functions for hr competency operations. +""" + +from typing import List +from models import Competency, Employee +from config import MOCK_COMPETENCIES, MOCK_EMPLOYEES + +def get_competency_by_id(id: int) -> Competency: + """Get a competency by its ID""" + for competency in MOCK_COMPETENCIES: + if competency["id"] == id: + return competency + return None + +def get_employee_by_id(id: int) -> Employee: + """Get an employee by their ID""" + for employee in MOCK_EMPLOYEES: + if employee["id"] == id: + return employee + return None + +def search_competencies(name: str = None, category: str = None, level: str 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