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enesjakozh

Customized MCP Server

by MorvanZhou
GitHub
Python
MIT License
OverviewInspectNewEndpointsSchemaRelated ServersReviewsScore
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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

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。

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

将 MCP 库与 OpenAI 的 API 集成在一起的服务器，允许用户通过自然语言查询与各种工具（例如天气工具）进行交互。

  1. 要求
    1. 用法
      1. 例子
        1. 查询天气工具
      2. 依赖项
        1. 执照

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