https://github.com/tadata-org/fastapi_mcp A zero-configuration tool for automatically exposing FastAPI endpoints as Model Context Protocol (MCP) tools: Exposing FastAPI Endpoints as MCP Tools: - Automatically converts existing FastAPI endpoints into MCP-compatible tools.

    Preserves request and response schemas, ensuring seamless interaction between APIs and AI systems.

• Documentation and Schema Preservation: Maintains Swagger/OpenAPI documentation for endpoints, making it easier for developers and AI agents to understand and utilize the APIs.

• Flexible Deployment: Allows mounting the MCP server directly within the FastAPI app or deploying it as a standalone service, catering to different architectural needs.

AI benchmarks assess the performance and capabilities of models in standardized tasks.

AI benchmarks assess the performance and capabilities of models in standardized tasks.

AI benchmarks assess the performance and capabilities of models in standardized tasks.

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