airnow-mcp-server
If you are the rightful owner of airnow-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
The unofficial AirNow MCP Server integrates large language models with the AirNow API for U.S. air quality data.
The AirNow MCP Server is an unofficial implementation of the Model Context Protocol (MCP) that facilitates the integration of large language models (LLMs) with the AirNow API. This server provides a robust set of tools that allow LLMs to access and utilize real-time, forecasted, and historical air quality information. By leveraging the AirNow API, users can retrieve data on current and forecasted Air Quality Index (AQI) values, access air quality observations, and obtain contour maps for pollutants like ozone and PM2.5. The server supports easy integration through NPX or Docker, making it accessible for developers and researchers interested in air quality data. With this server, LLMs can query air quality information using natural language, enhancing the ability to provide timely and relevant environmental insights.
Features
- Direct access to AirNow API resources through standardized MCP tools
- Natural language interface for querying air quality data
- Support for current, forecasted, and historical AQI, observations, and contour maps
- Easy integration via NPX/Docker
Tools
forecast_by_lat_long
Get current or historical forecasted AQI values and categories for a reporting area by latitude and longitude.
forecast_by_zip_code
Get current or historical forecasted AQI values and categories for a reporting area by Zip code.
contour_maps_by_geographic_bounding_box_ozone
Get current or historical ozone contour maps in KML.
contour_maps_by_geographic_bounding_box_pm25
Get current or historical PM2.5 contour maps in KML.
current_observations_by_reporting_area_by_lat_long
Get current AQI values and categories for a reporting area by latitude and longitude.