MCP Server Development Framework

Name: MCP Server Development Framework
Author: mlzoo

@mlzoo

リポジトリ

MCP Server Development Framework について

这是一个专为开发企业级MCP server而设计的通用开发框架

基本情報

カテゴリ

開発者ツール

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

mlzoo

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from MCP Server Development Framework

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).