OpenWeatherMap
Integrates with OpenWeatherMap API to provide current conditions, forecasts, air quality monitoring, weather alerts, and location services through 11 specialized tools for weather-dependent applications and travel planning.
About
This OpenWeatherMap MCP server by Robert Niimi provides AI agents with weather data access through 11 specialized tools covering current conditions, forecasts (5-day, hourly, daily, minutely), air quality monitoring, weather alerts, and location services including geocoding. Built with TypeScript using the FastMCP framework and openweather-api-node client, it supports dual transport modes (stdio and HTTP stream) with session-based API client caching, comprehensive error handling, and flexible authentication via environment variables or Bearer tokens. The implementation integrates seamlessly with Claude Desktop through JSON configuration and includes MCP Inspector support for testing, making it valuable for AI-powered weather applications, travel planning tools, and intelligent assistants that need real-time meteorological data and location-based weather insights.
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