MCP Weather Server

# MCP Weather Server [](https://smithery.ai/server/@adarshem/mcp-server-learn) This project is a demo implementation of a Model Context Protocol (MCP) server that provides weather-related tools. The server exposes two tools: 1. **get-alerts**: Fetches active weather alerts for a given US state. 2. **get-forecast**: Provides a weather forecast for a specific location based on latitude and longitude. <a href="https://glama.ai/mcp/servers/@adarshem/mcp-server-learn"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@adarshem/mcp-server-learn/badge" alt="Weather Server MCP server" /> </a> ## Features - Built using Node.js. - Implements MCP tools for weather data retrieval. - Uses the US National Weather Service API for accurate and up-to-date weather information. ## Prerequisites - Node.js installed on your system. - Familiarity with MCP concepts and tools. ## Setup ### Installing via Smithery To install mcp-server-learn for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@adarshem/mcp-server-learn): ```bash npx -y @smithery/cli install @adarshem/mcp-server-learn --client claude ``` ### Manual Installation 1. Clone the repository: ```bash git clone <repository-url> cd weather ``` 2. Install dependencies using `pnpm` (as configured in the project): ```bash pnpm install ``` 3. Build the project: ```bash pnpm build ``` ## Configuration Update your `settings.json` file of VSCode to add this MCP server ```json { "mcpServers": { "weather": { "command": "node", "args": [ "/ABSOLUTE/PATH/TO/PARENT/FOLDER/weather/build/index.js" ] } } } ``` ## Resources - [MCP Quickstart Guide](https://modelcontextprotocol.io/quickstart/server) - [US National Weather Service API](https://www.weather.gov/documentation/services-web-api)