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Terminal-based Chat Client with MCP Server Integration

@alan-meigs

Repository

About Terminal-based Chat Client with MCP Server Integration

MCP Client and Server Experiments

Basic information

Category

AI & Agents

Runtime

python

Transports

stdio

Publisher

alan-meigs

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

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Overview

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

FAQ from Terminal-based Chat Client with MCP Server Integration

What are the prerequisites to run the server?

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

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.

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.

What transport does the MCP server use?

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

Where does weather data come from?

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

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