projects/ui/DeepCode/mcp_agent.config.yaml

$schema: ./schema/mcp-agent.config.schema.json

# Default search server configuration
# Options: "brave" or "bocha-mcp"
default_search_server: "brave"

# Planning mode configuration
# Options: "segmented" or "traditional"
# segmented: Breaks down large tasks to avoid token truncation (recommended)
# traditional: Uses parallel agents but may hit token limits
planning_mode: "traditional"

# Document segmentation configuration
document_segmentation:
  enabled: false  # Whether to use intelligent document segmentation
  size_threshold_chars: 50000  # Document size threshold (in characters) to trigger segmentation
  # If document size > threshold and enabled=true, use segmentation workflow
  # If document size <= threshold or enabled=false, use traditional full-document reading

execution_engine: asyncio
logger:
  transports: [console, file]
  level: info
  progress_display: true
  path_settings:
    path_pattern: "logs/mcp-agent-{unique_id}.jsonl"
    unique_id: "timestamp" # Options: "timestamp" or "session_id"
    timestamp_format: "%Y%m%d_%H%M%S"



mcp:
  servers:
    brave:
      # On windows replace the command and args line to use `node` and the absolute path to the server.
      # Use `npm i -g @modelcontextprotocol/server-brave-search` to install the server globally.
      # Use `npm -g root` to find the global node_modules path.`
      # command: "node"
      # args: ["c:/Program Files/nodejs/node_modules/@modelcontextprotocol/server-brave-search/dist/index.js"]
      command: "npx"
      args: ["-y", "@modelcontextprotocol/server-brave-search"]
      env:
        # You can also place your BRAVE_API_KEY in the fastagent.secrets.yaml file.
        BRAVE_API_KEY: ""
    filesystem:
      # On windows update the command and arguments to use `node` and the absolute path to the server.
      # Use `npm i -g @modelcontextprotocol/server-filesystem` to install the server globally.
      # Use `npm -g root` to find the global node_modules path.`
      # command: "node"
      # args: ["c:/Program Files/nodejs/node_modules/@modelcontextprotocol/server-filesystem/dist/index.js","."]
      command: "npx"
      args: ["-y", "@modelcontextprotocol/server-filesystem"]
    fetch:
      command: "uvx"
      args: ["mcp-server-fetch"]
    github-downloader:
      command: "python"
      args: ["tools/git_command.py"]
      env:
        PYTHONPATH: "."
    file-downloader:
      command: "python"
      args: ["tools/pdf_downloader.py"]
      env:
        PYTHONPATH: "."
    command-executor:
      command: "python"
      args: ["tools/command_executor.py"]
      env:
        PYTHONPATH: "."
    code-implementation:
      command: "python"
      args: ["tools/code_implementation_server.py"]
      env:
        PYTHONPATH: "."
      description: "Paper code reproduction tool server - provides file operations, code execution, search and other functions"
    code-reference-indexer:
      command: "python"
      args: ["tools/code_reference_indexer.py"]
      env:
        PYTHONPATH: "."
      description: "Code reference indexer server - Provides intelligent code reference search from indexed repositories"
    bocha-mcp:
      command: "python3"
      args: ["tools/bocha_search_server.py"]
      env:
        PYTHONPATH: "."
        BOCHA_API_KEY: ""
    document-segmentation:
      command: "python"
      args: ["tools/document_segmentation_server.py"]
      env:
        PYTHONPATH: "."
      description: "Document segmentation server - Provides intelligent document analysis and segmented reading to optimize token usage"

openai:
  # Secrets (API keys, etc.) are stored in an mcp_agent.secrets.yaml file which can be gitignored
  #  default_model: "o3-mini"
  default_model: "anthropic/claude-3.5-sonnet"


anthropic: