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Analyze air quality data and create publication-ready statistical plots.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "openair-3-mcp-oss" yet — see the docs or source repo.
Load one year of air quality data for a selected city, create hourly time series, and provide basic statistical summaries for PM2.5, NO2, and O3.
Returns a dataset overview, summary statistics for key pollutants, and time series plots for trend inspection.
Using monitoring station data, generate a polar plot showing the relationship between NO2, wind speed, and wind direction, and briefly explain possible source patterns.
Outputs a polar plot along with a brief interpretation of directional concentration patterns and potential emission sources.
Create a calendar plot for PM10 over the last three months at a monitoring site, highlight high-value dates, and summarize the periods with the strongest variation.
Provides a report-ready calendar plot plus a summary of high-pollution dates and period-based fluctuations.
Analyze air quality data and generate statistical summaries and publication-ready plots.
Retrieve air quality sensor data remotely and export historical analyses.
Access free Open-Meteo data for forecasts, history, air quality, and marine insights.
Convert OpenAPI files into tailored MCP servers with only needed tools.
Get weather forecasts via MCP while learning AI tool integration patterns.
Discover AOP knowledge, support scientific review, and streamline draft-to-publication workflows.