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DimensionFastAPI-MCPExpose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS48 / 100 · D79 / 100 · B
Reliability6 / 2012 / 20
Security and permissions10 / 2018 / 20
Maintenance10 / 2016 / 20
Documentation10 / 2018 / 20
Setup experience12 / 2015 / 20
Best for
  • Developers with existing FastAPI applications who want to add MCP support with minimal configuration.
  • Teams that require secure MCP endpoints and want to use existing FastAPI dependencies for authentication and authorization.
  • Use cases where you want to deploy the MCP server together with your FastAPI app or as a standalone service.
  • Engineering teams scaling AI coding agents while controlling spend
  • Platform teams that need auditable, rollback-aware agent execution records
  • Organizations using multiple agents (Claude, Codex, Gemini) under one governed flow
Not for
  • Developers not already using FastAPI—this server is designed for FastAPI apps.
  • Clients that require stdio transport—FastAPI-MCP uses ASGI/HTTP transport.
  • Users who need full control over MCP tool definitions without relying on automatic generation from endpoints.
  • Developers who just want a simple code-completion helper without run governance
  • Teams unwilling to accept local JSONL run records with HMAC signing
  • Environments without a supported adapter (Claude/Codex/Gemini CLIs, direct provider, or verifier-only)
Required permissions
  • Requires access to your FastAPI application instance.
  • May require network access to the MCP endpoints (e.g., via HTTP).
  • Authentication and authorization use existing dependencies in your FastAPI app.
  • Read/write access to the configured repo root (writable scope restrictable via --allow-path/--deny-path)
  • Ability to invoke the chosen agent CLI (Claude/Codex/Gemini, etc.) and its underlying model account
  • Local disk writes for run records, receipts, and share outputs (share/run-receipt., etc.)
  • Execution of user-configured verifier commands (e.g. npm test)
Risks and side effects
  • Exposed MCP endpoints could be an entry for unauthorized access if authentication is not configured properly.
  • Auto-generated tools might expose sensitive endpoints—ensure proper authentication and authorization are set up.
  • Dependency on FastAPI and Python version compatibility—requires Python 3.10+.
  • Verifier commands are executed; poorly chosen verifier commands carry security risk despite preflight policy checks
  • Cost and token figures may be estimates (labeled with provenance) and should not be treated as settled accounting
  • Receipt integrity must be verified before use as trustworthy evidence; missing rollback evidence is flagged as EVIDENCE_BOUNDARY
  • Policy defaults come from martin.config.yaml and can be overridden by CLI flags; misconfiguration can loosen safety boundaries
Supported clientsClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools00