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$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:
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