MCP Server

What is MCP?

MCP is a command-line tool that provides access to US weather data through a client-server architecture using the Model Context Protocol (MCP) and Google's Gemini AI. It connects a Python client with a weather data server that retrieves alerts and forecasts from the National Weather Service API.

How to use MCP?

Install dependencies using uv, create a .env file with your Gemini API key, then run python client.py server.py and type natural language queries about US weather, such as "What are the current weather alerts in CA?" or "What's the forecast for latitude 37.7749, longitude -122.4194?" Type quit to exit.

Key features of MCP

• Query weather alerts for US states using state codes
• Get detailed weather forecasts via latitude and longitude
• Natural language interface powered by Google's Gemini AI
• Client-server architecture using Model Context Protocol (MCP)

Use cases of MCP

• Check weather alerts for a state (e.g., California)
• Get forecast for a specific location using coordinates
• Practice understanding MCP client-server communication
• Integrate weather queries into AI-powered workflows