DeepCode-MC1/mcp_agent.config.yaml at main · ColomboAI-com/DeepCode-MC1 · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
$schema: ./schema/mcp-agent.config.schema.json
anthropic: null
default_search_server: filesystem
document_segmentation:
  enabled: false
  size_threshold_chars: 50000
execution_engine: asyncio
logger:
  level: info
  path_settings:
    path_pattern: logs/mcp-agent-{unique_id}.jsonl
    timestamp_format: '%Y%m%d_%H%M%S'
    unique_id: timestamp
  progress_display: false
  transports:
  - console
  - file
mcp:
  servers:
    bocha-mcp:
      args:
      - tools/bocha_search_server.py
      command: python
      env:
        BOCHA_API_KEY: ''
        PYTHONPATH: .
    brave:
      # macos and linux should use this
      args:
      - -y
      - '@modelcontextprotocol/server-brave-search'
      command: npx

      # windows should use this
      # args:
      # # please use the correct path for your system
      # - C:/Users/LEGION/AppData/Roaming/npm/node_modules/@modelcontextprotocol/server-brave-search/dist/index.js
      # command: node
      env:
        BRAVE_API_KEY: ''
    filesystem:
      # macos and linux should use this
      # Note: "No valid root directories" warning is harmless - connection still works
      args:
      - -y
      - '@modelcontextprotocol/server-filesystem'
      - .
      - ./deepcode_lab
      command: npx

      # windows should use this
      # args:
      # # please use the correct path for your system
      # - C:/Users/LEGION/AppData/Roaming/npm/node_modules/@modelcontextprotocol/server-filesystem/dist/index.js
      # - .
      # command: node


    code-implementation:
      args:
      - tools/code_implementation_server.py
      command: python
      description: Paper code reproduction tool server - provides file operations,
        code execution, search and other functions
      env:
        PYTHONPATH: .
    code-reference-indexer:
      args:
      - tools/code_reference_indexer.py
      command: python
      description: Code reference indexer server - Provides intelligent code reference
        search from indexed repositories
      env:
        PYTHONPATH: .
    command-executor:
      args:
      - tools/command_executor.py
      command: python
      env:
        PYTHONPATH: .
    document-segmentation:
      args:
      - tools/document_segmentation_server.py
      command: python
      description: Document segmentation server - Provides intelligent document analysis
        and segmented reading to optimize token usage
      env:
        PYTHONPATH: .
    fetch:
      args:
      - mcp-server-fetch
      command: uvx
    file-downloader:
      args:
      - tools/pdf_downloader.py
      command: python
      env:
        PYTHONPATH: .
    github-downloader:
      args:
      - tools/git_command.py
      command: python
      env:
        PYTHONPATH: .
# LLM Provider Priority (选择使用哪个LLM / Choose which LLM to use)
# Options: "anthropic", "google", "openai"
# If not set or provider unavailable, will fallback to first available provider
llm_provider: "openai"  # 设置为 "google", "anthropic", 或 "openai"

#openrouter can be used here and openai professional key
openai:
  base_max_tokens: 40000
  default_model: "qwen-3"
  planning_model: "qwen-3"
  implementation_model: "qwen-3"
  reasoning_effort: low  # Only for thinking models
  max_tokens_policy: adaptive
  retry_max_tokens: 32768

# Provider configurations
# default_model is used by mcp_agent for planning/analysis phases
# implementation_model is used by code_implementation_workflow for code generation
google:
  default_model: "gemini-3-pro-preview"
  planning_model: "gemini-3-pro-preview"
  implementation_model: "gemini-2.5-flash"

anthropic:
  default_model: "claude-sonnet-4.5"
  planning_model: "claude-sonnet-4.5"
  implementation_model: "claude-sonnet-3.5"


planning_mode: traditional