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Analyze air quality data and generate statistical summaries and publication-ready 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.
Use openair-3-mcp-oss to load one year of PM2.5 data from a monitoring site, aggregate it by day, generate a time series plot with a trend line, and briefly explain the main trends.
Returns daily aggregated results, a time series plot, and a brief analysis of pollution trends.
Use openair-3-mcp-oss to create a statistical summary of the uploaded air quality dataset, including mean, median, quantiles, missing values, and notable outlier patterns.
Returns a structured summary table with brief notes on distribution, missing data, and outliers.
Use openair-3-mcp-oss to analyze the relationship between NO2 and wind speed and direction, create a polar plot, and generate a calendar plot for the same period for reporting.
Returns report-ready polar and calendar plots, plus a short explanation of the pollution patterns shown.
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.
Discover AOP knowledge, support scientific review, and streamline draft-to-publication workflows.
Access global weather, forecasts, air quality, and climate data without API keys.
Get weather forecasts via MCP while learning AI tool integration patterns.