Skip to main content
Glama
enesjakozh
MorvanZhou

Customized MCP Server

by MorvanZhou
OverviewSchemaRelated ServersScoreDiscussions
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: OpenAI API 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。

This server cannot be installed

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

How are these scores calculated?

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Appeared in Searches

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MorvanZhou/customized_mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server