MCP Server Development Framework

@mlzoo

代码仓库

基本信息

分类

开发工具

许可证

MIT

传输方式

stdio

作者

mlzoo

关于 MCP Server Development Framework

这是一个专为开发企业级MCP server而设计的通用开发框架

MCP Server Development Framework 配置

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该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP Server Development Framework 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Server Development Framework?

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.

How to use MCP Server Development Framework?

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.

Key features of MCP Server Development Framework

Automatically converts FastAPI endpoints into MCP tools
Supports interface-implementation separation for testing and environment switching
Leverages FastAPI’s dependency injection for flexible component decoupling
Provides complete development pipeline from development to deployment
Includes example-driven documentation and multi-level testing support

Use cases of MCP Server Development Framework

Teams building AI tools that need to expose existing APIs as MCP endpoints
Developers transforming FastAPI-based APIs into standardized AI-callable tools
Organizations adopting a standardized, interface‑based microservice architecture

常见问题

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.

How does dependency injection work in this framework?

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.

Can I use existing FastAPI endpoints without modification?

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`.

Where can I find example code and best practices?

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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