🚀 FastAPI MCP 服务器
Description
# 🚀 FastAPI MCP 服务器    FastAPI MCP服务器是一个专为大型语言模型设计的Model Context Protocol (MCP)…
About
# 🚀 FastAPI MCP 服务器    FastAPI MCP服务器是一个专为大型语言模型设计的Model Context Protocol (MCP) 集成应用，基于FastAPI框架开发，提供高性能的服务器端事件(SSE)通信、智能工具注册和完善的会话管理功能。 ## 📖 项目简介…
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- purity3
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- Integrates FastAPI’s high performance with the MCP protocol
- Efficient SSE-based real-time communication with millisecond latency
- Multi-user session isolation for data separation
- Flexible authentication via token, path, or query parameters
- Fully asynchronous architecture supporting high concurrency
- Intelligent tool registration system to extend model capabilities
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
🚀 FastAPI MCP 服务器Command (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install Python 3.13+ and optionally uv. Clone the repository, create a virtual environment, and install dependencies with pip install -e .. Configure environment variables in a .env file and create the database file database/session.db. Start the server with python -m main or start. It runs by default on http://localhost:8000. Custom tool functions can be added in the tools/ directory and registered in server.py.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"\ud83d\ude80 fastapi mcp \u670d\u52a1\u5668": {
"fastapi-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}
}McpServers
{
"fastapi-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}🚀 FastAPI MCP 服务器
FastAPI MCP服务器是一个专为大型语言模型设计的Model Context Protocol (MCP) 集成应用，基于FastAPI框架开发，提供高性能的服务器端事件(SSE)通信、智能工具注册和完善的会话管理功能。
📖 项目简介
此项目是一个轻量级、高性能的MCP服务器实现，旨在简化AI模型与用户应用程序之间的交互。它利用FastAPI的异步特性和Schema验证能力，结合SSE（Server-Sent Events）技术实现低延迟的实时通信，并通过会话管理系统支持多用户、多模型并发交互，为开发AI驱动的应用提供强大后端支持。
✨ 项目亮点
- 🔄 FastAPI + MCP整合：将FastAPI的高性能与MCP协议无缝集成，提供标准化的模型交互接口
- 📡 高效SSE实时通信：基于服务器发送事件(SSE)实现毫秒级响应的单向实时数据流
- 👥 多用户会话隔离：完善的会话创建、存储和管理机制，确保多用户场景下的数据隔离
- 🔐 灵活认证机制：支持多种认证方式，包括token、path和query参数，满足不同场景需求
- ⚡ 全异步处理架构：从请求处理到数据库操作均采用异步设计，支持高并发访问
- 🧰 智能工具注册系统：简化AI工具函数的注册和管理，便于扩展模型能力
🔍 工作原理
graph TD
A[客户端] -->|发送请求| B[FastAPI服务器]
B -->|创建/获取| C[会话服务]
C -->|管理| D[用户会话]
B -->|路由到| E[MCP处理器]
E -->|注册| F[工具函数]
E -->|使用| G[SSE传输]
G -->|实时响应| A
classDef client fill:#f9f,stroke:#333,stroke-width:2px;
classDef server fill:#bbf,stroke:#333,stroke-width:2px;
classDef service fill:#bfb,stroke:#333,stroke-width:2px;
class A client;
class B,E server;
class C,D,F,G service;
📸 屏幕截图
MCP交互界面
MCP Inspector参数无感透传
MCP Inspector参数鉴权校验
📁 项目结构
fastapi-mcp-server/
├── auth/ # 认证相关模块
├── database/ # 数据库连接和管理
├── models/ # 数据模型定义
├── routes/ # API路由定义
├── services/ # 业务逻辑服务
├── tools/ # 工具函数
├── transport/ # 传输层实现
├── utils/ # 通用工具函数
├── config.py # 配置文件
├── main.py # 应用入口
└── server.py # MCP服务器初始化
🛠️ 安装指南
前置条件
- 🐍 Python 3.13+
- 🗄️ 支持异步的数据库(可选)
- 📦 uv包管理器(推荐)
安装步骤
1. 克隆代码库：
git clone git@github.com:purity3/fastapi-mcp-server.git
cd fastapi-mcp-server
2. 创建并激活虚拟环境：
```bash
python -m venv .venv
source .venv/bin/activate # Linux/Mac
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