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MorvanZhou

Customized MCP Server

by MorvanZhou
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Python

定制MCP项目

该项目利用具有 CLI 支持的mcp库并与 OpenAI 的 API 集成。

要求

确保在运行项目之前安装所需的依赖项：

pip install -r requirements.txt

Related MCP server: mcp-server

用法

  1. 将您的 OpenAI API 密钥配置为环境变量：

    export OPENAI_API_KEY="your-api-key"

  2. 启动 MCP 服务器：

    python server.py

  3. 使用客户端与服务器进行交互：

    python client.py

  4. 或者，使用协调器查询 LLM 和工具：

    python main.py

例子

查询天气工具

运行客户端并调用get_weather工具：

python client.py

交互示例：

You: List tools
Assistant: {
  "tools": [
    {
      "name": "get_weather",
      "description": "Get weather for a city",
      "parameters": {
        "city": {
          "type": "string",
          "description": "Name of the city"
        }
      }
    }
  ]
}

You: Call get_weather with {"city": "Beijing"}
Assistant: 北京的天气是晴天

依赖项

  • openai==1.70.0

  • mcp[cli]==1.6.0

执照

该项目已获得 MIT 许可。

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