Weather MCP (MCP) Demo

What is Weather MCP (Model Context Protocol) Demo?

Weather MCP (Model Context Protocol) Demo is a demonstration project that implements a Model Context Protocol (MCP) system for weather information. It consists of a Python-based MCP server that provides weather data and an OpenAI GPT-4 client that processes natural language queries, enabling users to ask about weather through a command-line interface.

How to use Weather MCP (Model Context Protocol) Demo?

Clone the repository, create a .env file with your OpenAI API key in both server_weather/ and client_weather_openai/ directories, install dependencies using a Python virtual environment and pip install -r requirements.txt. Start the server with python server_weather.py, then start the client with python weather_agent_openai.py and ask natural language questions like "What's the weather in New York today?"

Key features of Weather MCP (Model Context Protocol) Demo

• Server exposes weather endpoint via SSE (http://localhost:4000/sse)
• Provides a fetch-weather tool discoverable by MCP clients
• Client integrates with OpenAI GPT-4 for natural language processing
• Automatic tool discovery from the MCP server
• Interactive command-line interface for user interactions

Use cases of Weather MCP (Model Context Protocol) Demo

• Query current weather in any city using natural language
• Demonstrate Model Context Protocol integration between an AI agent and a weather service
• Experiment with MCP tool discovery and SSE transport
• Showcase OpenAI GPT-4's ability to invoke external tools