This MCP server, developed by Matthew Hand, dynamically exposes REST APIs defined by OpenAPI specifications as MCP tools. Built with Python and leveraging libraries like FastAPI and Pydantic, it offers two operation modes: a low-level mode that registers all API endpoints as separate tools, and a FastMCP mode for simplified exposure of specific endpoints. The implementation focuses on flexibility, allowing users to filter endpoints and customize tool naming. By connecting AI models with any OpenAPI-described API, this server enables seamless integration of external services into MCP-based workflows. It's particularly useful for developers and organizations looking to quickly incorporate diverse APIs into their AI systems without extensive custom coding.
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