Announcement

Free to view yesterday and today
Customer Service: cat_manager

fastapi_mcp: Expose FastAPI Endpoints as MCP Tools with Auth

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.

Python
Added on 2025年7月5日
View on GitHub
fastapi_mcp: Expose FastAPI Endpoints as MCP Tools with Auth preview
6,360
Stars
530
Forks
Python
Language

Project Introduction

Summary

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.

Problem Solved

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.

Core Features

Automated MCP Schema Generation

Automatically generate MCP tool descriptions from your FastAPI application's routes and models.

Integrated Authentication

Supports various authentication methods (e.g., API Keys, OAuth) to secure your exposed endpoints.

Seamless FastAPI Integration

Provides middleware and utilities to seamlessly integrate MCP logic into your existing FastAPI application.

AI Agent Tool Compatibility

Facilitates building and exposing tools consumable by AI agents and other MCP-compatible systems.

Tech Stack

Python
FastAPI
MCP (Model Context Protocol)
Pydantic

Usage Scenarios

fastapi_mcp can be applied in various scenarios requiring the exposure of service functionalities via the Model Context Protocol, especially when security is paramount.

Building Tools for AI Agents

Details

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.

User Value

Enables AI agents to interact with external services and data, expanding their capabilities beyond static knowledge.

Integrating Existing Microservices

Details

Integrate an existing FastAPI-based microservice into an MLOps pipeline or automation workflow that consumes tools via the MCP standard.

User Value

Makes existing service functionality accessible and usable within MCP-compliant automation and orchestration platforms.

Creating Shareable API Tools

Details

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.

User Value

Provides a standardized, secure way to share API functionalities as tools, promoting interoperability.

Recommended Projects

You might be interested in these projects

opensshopenssh-portable

Portable OpenSSH is the premier connectivity tool for remote login with the SSH protocol. It encrypts all traffic to eliminate eavesdropping, connection hijacking, and other attacks. Providing a secure replacement for legacy network utilities like telnet, rlogin, and ftp.

C
33841888
View Details

gofr-devgofr

Gofr is a streamlined Go framework designed to accelerate the development of microservices, offering built-in support for databases, observability, and an opinionated structure to boost developer productivity.

Go
117401743
View Details

badgesshields

A powerful, open-source tool designed to simplify data processing and analysis workflows through automation.

JavaScript
250555544
View Details