Swagger Template
Bootstrap any OpenAPI/Swagger specification into a FastMCP-powered Model Context Protocol server, enabling AI copilots like Claude Code and Codex to call your API in minutes.
About
This template simplifies the process of integrating any existing HTTP API, defined by an OpenAPI 3.x or Swagger 2.0 specification, with AI copilots such as Claude Code and Codex. By leveraging FastMCP, it transforms your API into a Model Context Protocol (MCP) server, allowing AI agents to interact with your services effortlessly. The repository provides a minimal Python starting point, complete with dependency management and a pre-configured HTTP client, enabling developers to quickly expose their APIs to AI-powered workflows and enhance automation.
Key Features
- Seamless conversion of OpenAPI/Swagger specifications to MCP servers
- Built on FastMCP for efficient Model Context Protocol integration
- Minimalist Python template for rapid API exposure to AI copilots
- Robust dependency management with `pyproject.toml` and `uv.lock`
- Flexible `httpx.AsyncClient` configuration for target API base URLs
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Use Cases
- Enabling AI agents like Claude Code and Codex to interact directly with existing HTTP APIs
- Streamlining the creation of AI-powered workflows that leverage backend services
- Accelerating the integration of legacy or new APIs with modern AI copilots
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