Enables a household assistant to answer personalized air-quality and pollen questions, plan outdoor activities, issue threshold-based alerts, and log symptoms using live Open-Meteo data. It exposes these capabilities as tools with spoken responses and structured content for MCP clients.
Enables AI assistants to check live air quality in Poland, including the nearest official GIOŚ monitoring stations with the air quality index and hourly PM2.5, PM10, NO2, O3 and SO2 readings, plus smog warnings for the voivodeship and a 3-day Copernicus CAMS forecast of particulate matter and pollen. Can be used via a public no-key endpoint or run locally.
Exposes public weather and climate data through a standardized API, allowing AI agents to retrieve current conditions, 7-day forecasts, and historical data. It enables weather-aware automation and data enrichment for conversational agents and travel planning.