tadata-org/fastapi_mcp
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
Our Review
- •Built-in auth via FastAPI dependencies.
- •Zero-config, preserves schemas and docs.
- •High CI coverage and PyPI ready.
Our Verdict
Python library exposing FastAPI endpoints as Model Context Protocol (MCP) tools with authentication. For developers integrating FastAPI into AI agents or LLM workflows. Key differentiator: built-in auth versus plain MCP exposures.
Frequently Asked Questions
Does fastapi_mcp support authentication?
Yes, fastapi_mcp exposes FastAPI endpoints as MCP tools with built-in authentication. This enables secure integration of your APIs into AI agents and LLM applications requiring authenticated access.
What is fastapi_mcp?
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
How do I install fastapi_mcp?
Visit the GitHub repository at https://github.com/tadata-org/fastapi_mcp for installation instructions.
What license does fastapi_mcp use?
fastapi_mcp uses the MIT license.
What are alternatives to fastapi_mcp?
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Open source & community-verified
MIT licensed: free to use in any project, no strings attached. 11,893 developers have starred this, meaning the community has reviewed and trusted it.
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