MCP Weather Server

A specialized weather data server tool built using the MCP SDK and TypeScript that provides weather information through the Model Context Protocol (MCP). This project enables Large Language Models that support MCP to access weather data directly, creating a seamless integration between AI systems and real-time weather information.

Features

• Enables LLMs to retrieve real-time weather forecasts through function calling
• Allows AI models to access and process weather alerts by location
• Built with TypeScript for type safety and improved developer experience
• Implements the Model Context Protocol (MCP) for standardized LLM communication
• Serves as a middleware between weather data APIs and language models

Claude Desktop Integration

Integrate with the Claude desktop client by adding the following to your Claude configuration file:

{
    "mcpServers": {
        "weather": {
            "command": "node",
            "args": [
                "/mcp-weather-server/build/index.js"
            ]
        }
    }
}

Installation Steps

1. Clone and build this repository
2. Add the configuration to ~/Library/Application Support/Claude/claude_desktop_config.json
3. Restart the Claude desktop application
4. Your Claude instance will now have access to real-time weather data through MCP

Perfect for AI applications that need to incorporate weather information into their responses, this server bridges the gap between large language models and meteorological data sources through the MCP standard.