Terminal-based Chat Client with MCP Server Integration

Name: Terminal-based Chat Client with MCP Server Integration
Author: alan-meigs

@alan-meigs

Repository

About Terminal-based Chat Client with MCP Server Integration

MCP Client and Server Experiments

Basic information

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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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

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.