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Fastapi MCP
Overview :
FastAPI-MCP is a tool specifically designed for FastAPI, aiming for seamless integration with the Model Context Protocol (MCP). It allows developers to automatically convert API endpoints of a FastAPI application into MCP tools without any configuration. The tool's key advantages include simplifying the API integration process with MCP, supporting automatic discovery and conversion of all FastAPI endpoints, preserving the schema of request and response models, and maintaining the same documentation as Swagger. It also supports flexible deployment methods, allowing the MCP server to be mounted directly into the FastAPI application or deployed separately. FastAPI-MCP is suitable for development teams that need to quickly integrate APIs into MCP environments, supporting Python 3.10 and above, with Python 3.12 recommended.
Target Users :
FastAPI-MCP is designed for development teams needing to quickly integrate APIs into MCP environments, especially those using FastAPI to build API services. It simplifies the API integration process with MCP, allowing developers to focus on API development without worrying about complex configuration and integration issues. By automatically discovering and converting FastAPI endpoints, developers can quickly expose API functionalities as MCP tools, thus improving development efficiency and accelerating product time-to-market. Furthermore, it supports flexible deployment methods to meet the needs of various development teams.
Use Cases
Integrate FastAPI-MCP into a simple FastAPI application to automatically expose all endpoints as MCP tools.
Customize MCP tool names by specifying operation_id for clearer tool identification.
Deploy the MCP server separately from the FastAPI application for improved flexibility and scalability.
Features
Direct Integration: Mount the MCP server directly into the FastAPI application.
Zero Configuration: Works automatically without any configuration.
Automatic Discovery: Automatically discovers all FastAPI endpoints and converts them into MCP tools.
Schema Preservation: Preserves the schema of request and response models.
Documentation Preservation: Preserves documentation for all endpoints, consistent with Swagger.
Flexible Deployment: The MCP server can be mounted into the same application or deployed separately.
How to Use
1. Install FastAPI-MCP: uv installation is recommended, but pip is also supported.
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2. Create a FastAPI application and initialize a FastAPI-MCP instance: Specify the FastAPI application and other optional parameters.
3. Mount the MCP server to the FastAPI application: Use the mount() method to complete mounting.
4. Access https://app.base.url/mcp to view the automatically generated MCP server.
5. Customize the behavior of the MCP server as needed: For example, specify operation_id and control exposed endpoints.
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