$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: