MCP Server Demo
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
MCP Server
基于WebSocket的MCP(Model Control Protocol)服务器,用于处理模型请求并提供响应。
项目结构
MCPServerDemo/
├── src/ # 源代码目录
│ └── mcp/ # MCP实现
│ ├── handlers/ # 请求处理器
│ ├── models/ # 数据模型
│ ├── protocol/ # 协议定义
│ └── server/ # 服务器实现
├── client/ # 客户端示例
│ └── index.html # 测试用HTML客户端
├── .env # 环境变量配置(需要从.env.example创建)
├── .env.example # 环境变量示例
├── main.py # 应用程序入口点
└── README.md # 项目说明Related MCP server: FastAPI MCP Server
安装
本项目使用uv进行依赖管理。
# 安装依赖
uv pip install fastapi uvicorn pydantic pydantic-settings配置
复制环境变量示例文件并进行配置:
cp .env.example .env编辑
.env文件,设置您的配置。
运行
# 启动服务器
python main.py服务器将在http://localhost:8000上运行,WebSocket端点为ws://localhost:8000/ws。
测试客户端
打开client/index.html文件在浏览器中测试MCP服务器。
MCP协议
MCP协议是一个基于WebSocket的协议,用于控制和管理AI模型。
请求格式
{
"id": "请求ID",
"type": "request",
"action": "动作名称",
"messages": [
{
"role": "user",
"content": "消息内容"
}
],
"parameters": {
"参数名": "参数值"
}
}响应格式
{
"id": "请求ID",
"type": "response",
"action": "动作名称",
"messages": [
{
"role": "assistant",
"content": "响应内容"
}
],
"metadata": {
"元数据名": "元数据值"
}
}错误格式
{
"id": "请求ID",
"type": "error",
"action": "动作名称",
"error": "错误信息",
"details": {
"详情名": "详情值"
}
}事件格式
{
"id": "事件ID",
"type": "event",
"event": "事件名称",
"data": {
"数据名": "数据值"
}
}支持的动作
chat: 聊天请求completion: 文本完成请求
扩展
您可以通过以下方式扩展MCP服务器:
创建新的处理器在
src/mcp/handlers/目录在
main.py中注册新的处理器自定义协议实现在
src/mcp/protocol/目录
This server cannot be deployed
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