Air Quality
Fetches real-time, historical, and forecast air quality data including AQI, PM2.5, ozone, and NO2 levels for global locations. Data analysts, environmental researchers, and developers integrate it into apps for pollution monitoring, health alerts, and urban planning via MCP tools.
Overview
The @lulzasaur9192/mcp-air-quality MCP server provides programmatic access to air quality datasets from public sources. It enables AI models and scripts to retrieve location-specific metrics without managing external API keys or rate limits directly.
Key Capabilities
- Query current AQI and pollutant concentrations (PM2.5, PM10, O3, NO2, SO2, CO) by latitude/longitude or city name
- Retrieve historical data for trend analysis over days, months, or years
- Access short-term forecasts to predict air quality changes
Specific tools like get_current_aqi, get_historical_aqi, and get_aqi_forecast handle these operations, returning structured JSON with quality indices and health risk categories.
Use Cases
- Environmental dashboard: Use get_current_aqi to display live AQI maps for multiple cities in a web app.
- Health advisory bot: Query get_aqi_forecast to alert users about high-pollution days in their area.
- Research analysis: Pull get_historical_aqi data for a region to study pollution correlations with weather events.
- IoT sensor integration: Fetch real-time metrics to calibrate local air monitors against global standards.
Who This Is For
Data analysts processing environmental datasets, developers building weather/health apps, researchers modeling pollution impacts, and public agencies tracking urban air quality.