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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.
Convert OpenAPI files into tailored MCP servers with only needed tools.
Use a native macOS MCP server to automate system and development tasks securely.
Discover AOP knowledge, support scientific review, and streamline draft-to-publication workflows.
Access global weather, forecasts, air quality, and climate data without API keys.
Run 2D airfoil geometry, meshing, CFD solving, and visualization through MCP.