FastAPI-MCP
A zero-configuration tool for automatically exposing FastAPI endpoints as Model Context Protocol (MCP) tools.
What is FastAPI-MCP?
What is FastAPI-MCP? FastAPI-MCP is a zero-configuration tool designed to automatically expose FastAPI endpoints as Model Context Protocol (MCP) tools, simplifying the integration of FastAPI applications with MCP clients. How to use FastAPI-MCP? To use FastAPI-MCP, simply mount the MCP server to your FastAPI application by calling the add_mcp_server function with your FastAPI app instance and desired mount path. Key features of FastAPI-MCP? Direct integration with FastAPI applications. Zero configuration required for setup. Automatic discovery of FastAPI endpoints and conversion to MCP tools. Preservation of request and response schemas. Maintains documentation as seen in Swagger. Ability to extend with custom MCP tools. Use cases of FastAPI-MCP? Quickly expose existing FastAPI APIs as MCP tools for easy access. Integrate with various MCP clients like Claude for enhanced functionality. Facilitate the development of AI applications that require seamless API interactions. FAQ from FastAPI-MCP? Is FastAPI-MCP easy to set up? Yes! It requires zero configuration; just point it at your FastAPI app. Can I add custom tools to my MCP server? Yes! You can extend the MCP server with custom tools alongside the auto-generated ones. What are the requirements for using FastAPI-MCP? You need Python 3.10+ and the uv package for installation.
As an MCP (Model Context Protocol) server, FastAPI-MCP enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use FastAPI-MCP
To use FastAPI-MCP, simply mount the MCP server to your FastAPI application by calling the add_mcp_server function with your FastAPI app instance and desired mount path. Key features of FastAPI-MCP? Direct integration with FastAPI applications. Zero configuration required for setup. Automatic discovery of FastAPI endpoints and conversion to MCP tools. Preservation of request and response schemas. Maintains documentation as seen in Swagger. Ability to extend with custom MCP tools. Use cases of FastAPI-MCP? Quickly expose existing FastAPI APIs as MCP tools for easy access. Integrate with various MCP clients like Claude for enhanced functionality. Facilitate the development of AI applications that require seamless API interactions. FAQ from FastAPI-MCP? Is FastAPI-MCP easy to set up? Yes! It requires zero configuration; just point it at your FastAPI app. Can I add custom tools to my MCP server? Yes! You can extend the MCP server with custom tools alongside the auto-generated ones. What are the requirements for using FastAPI-MCP? You need Python 3.10+ and the uv package for installation.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like FastAPI-MCP can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like FastAPI-MCP provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.