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Terminal-based Chat Client with MCP Server Integration

@alan-meigs

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

alan-meigs

关于 Terminal-based Chat Client with MCP Server Integration

MCP Client and Server Experiments

Terminal-based Chat Client with MCP Server Integration 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "MCP_EXP": {
      "command": "uv",
      "args": [
        "init"
      ]
    }
  }
}

Terminal-based Chat Client with MCP Server Integration 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Terminal-based Chat Client with MCP Server Integration?

A terminal-based chat client that connects to an MCP server and integrates with OpenAI's API, including a weather service as an example of MCP functionality. It demonstrates how to build an extensible chat interface with tool execution.

How to use Terminal-based Chat Client with MCP Server Integration?

Install UV, create a virtual environment, install required packages (httpx, mcp[cli], openai, python-dotenv), set your OpenAI API key in a .env file, start the weather server (python weather.py), then run the chat client (python client.py weather.py). Optionally configure the server in Cursor’s Agent mode via Settings or a .cursor/mcp.json file.

Key features of Terminal-based Chat Client with MCP Server Integration

  • Real‑time chat interface with OpenAI integration
  • MCP server integration for extensible functionality
  • Weather service with alerts and forecasts
  • Asynchronous operation for better performance
  • Proper error handling and resource cleanup
  • Environment variable configuration for API keys

Use cases of Terminal-based Chat Client with MCP Server Integration

  • Chat with an AI assistant about general topics
  • Ask for current weather conditions in a US state or city
  • Retrieve active weather alerts for a given US state
  • Get detailed weather forecasts by latitude and longitude
  • Integrate the weather tools into Cursor’s Agent mode

常见问题

1

What are the prerequisites to run the server?

Python 3.8 or higher and the UV package manager are required.

2

How do I get my OpenAI API key?

Create a `.env` file in the project root and add `OPENAI_API_KEY=your_api_key_here`.

3

Can I use this with Cursor?

Yes. The MCP server can be added in Cursor’s Agent mode (Composer) via Settings → Features → MCP, or by creating a `.cursor/mcp.json` file with the server command.

4

What transport does the MCP server use?

The server runs with `transport="stdio"` for communication with the chat client.

5

Where does weather data come from?

Weather data is retrieved from the National Weather Service API (`api.weather.gov`).

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