DeepCode/mcp_agent.config.yaml at main · ElfER020/DeepCode · GitHub

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$schema: ./schema/mcp-agent.config.schema.json
anthropic: null
default_search_server: brave
document_segmentation:
  enabled: true
  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: true
  transports:
  - console
  - file
mcp:
  servers:
    bocha-mcp:
      args:
      - tools/bocha_search_server.py
      command: python3
      env:
        BOCHA_API_KEY: ''
        PYTHONPATH: .
    brave:
      args:
      - -y
      - '@modelcontextprotocol/server-brave-search'
      command: npx
      env:
        BRAVE_API_KEY: ''
    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: .
    filesystem:
      args:
      - -y
      - '@modelcontextprotocol/server-filesystem'
      - .
      command: npx
    github-downloader:
      args:
      - tools/git_command.py
      command: python
      env:
        PYTHONPATH: .
openai:
  base_max_tokens: 16384
  default_model: anthropic/claude-3.5-sonnet
  max_tokens_policy: adaptive
  retry_max_tokens: 32768
planning_mode: traditional