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Expose your FastAPI endpoints as Model Context Protocol (MCP) tools effortlessly, adding robust authentication layers. Integrate existing services or build new AI agent tools with ease.
fastapi_mcp is a Python library that enables developers to expose their existing or new FastAPI endpoints as tools compatible with the Model Context Protocol (MCP), including built-in support for authentication.
Integrating standard web APIs (like those built with FastAPI) into AI agent ecosystems or other systems expecting the Model Context Protocol (MCP) typically requires significant manual effort to define tool schemas and handle protocol specifics. This project automates this process and adds essential security.
Automatically generate MCP tool descriptions from your FastAPI application's routes and models.
Supports various authentication methods (e.g., API Keys, OAuth) to secure your exposed endpoints.
Provides middleware and utilities to seamlessly integrate MCP logic into your existing FastAPI application.
Facilitates building and exposing tools consumable by AI agents and other MCP-compatible systems.
fastapi_mcp can be applied in various scenarios requiring the exposure of service functionalities via the Model Context Protocol, especially when security is paramount.
Develop a FastAPI application that performs specific tasks (e.g., database query, external API call) and expose these tasks as tools for an AI agent to use within a conversational flow.
Enables AI agents to interact with external services and data, expanding their capabilities beyond static knowledge.
Integrate an existing FastAPI-based microservice into an MLOps pipeline or automation workflow that consumes tools via the MCP standard.
Makes existing service functionality accessible and usable within MCP-compliant automation and orchestration platforms.
Create a set of public or private API tools based on FastAPI endpoints, secured with authentication, that can be discovered and used by other applications or services supporting MCP.
Provides a standardized, secure way to share API functionalities as tools, promoting interoperability.
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