Integrates large language models with the AirNow API to provide comprehensive U.S. air quality data access.
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.