The AirNow MCP Server acts as a bridge, enabling large language models to seamlessly interact with the official U.S. AirNow API. It offers a standardized Model Context Protocol implementation, allowing LLMs to query real-time, forecasted, and historical air quality data, including AQI values, observations by location, and contour maps for various pollutants, providing LLMs with crucial environmental insights. It supports current and forecasted AQI, detailed observations by location or region, air quality maps, and historical data retrieval.
Key Features
01Support for current, forecasted, and historical AQI, observations, and contour maps
02Natural language interface for querying air quality data
030 GitHub stars
04Direct access to AirNow API resources through standardized MCP tools
05Easy integration via NPX/Docker
