What runtime does it require?
Python 3.10 or later, with FastAPI and FastAPI-MCP as core dependencies. The framework uses `uv` for package management.
@mlzoo
Basic information
这是一个专为开发企业级MCP server而设计的通用开发框架
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A professional framework for enterprise-level Model Context Protocol (MCP) tool development, integrating FastAPI and FastAPI-MCP to automate converting traditional APIs into AI-callable MCP tools.
Use uv as package manager; run make install to set up the environment and make dev to start the example service. Connect to the MCP endpoint at http://localhost:5000/mcp with an MCP client.
Python 3.10 or later, with FastAPI and FastAPI-MCP as core dependencies. The framework uses `uv` for package management.
FastAPI’s `Depends` function injects service implementations into API endpoints. It supports function, class, and nested dependencies, enabling environment-based switching between mock and real implementations.
Yes. FastAPI-MCP automatically exposes any FastAPI endpoint as an MCP tool. You only need to mount the MCP service via `mcp.mount(mount_path="/mcp")` and optionally set an explicit `operation_id`.
The README provides a full service interface example, dependency injection configurations, and recommended MCP tool naming conventions (e.g., `predict_sentiment`, `find_nearby_parking`).
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