Open-Meteo Historical Weather MCP. Run climate forensics on 84 years of global weather data.

Open-Meteo Historical Weather gives you access to 84 years of global weather records. You can run queries across any coordinate pair from 1940 through today.

To pull full historical weather records, the get_historical_weather tool accepts coordinates and a specific date range spanning decades. This single function retrieves all major metrics you need: wind patterns, humidity levels, precipitation amounts, and general weather codes for that location and time period. It gives you a comprehensive view of what's been happening over those years.

If you only need summary data points, the get_historical_daily tool aggregates daily weather summaries. You can pull figures like minimum and maximum temperatures, plus total precipitation totals over multiple days. This is perfect when you're modeling trends that rely on day-to-day averages rather than hourly readings.

For deep climate analysis, the get_historical_temperature tool focuses specifically on temperature metrics. It pulls data points like apparent temperature and dewpoint, which are critical for sophisticated climate modeling. These historical readings let you track how specific thermal conditions have shifted over long periods of time.

You use this server when you need precise, long-term climate forensics. You can study environmental changes by defining a latitude/longitude pair and running the query against the 1940–present date range to get all metrics at once using get_historical_weather. If your analysis requires understanding extreme daily shifts, you'll use get_historical_daily for min/max temp data alongside total precipitation records.

When you need to track subtle but crucial changes in thermal conditions—like how dewpoint shifted over three decades—you run the specialized temperature query via get_historical_temperature. This gives you time-series data focused exclusively on apparent temperature, dewpoint readings, and historical temperatures. You're checking for specific climate trends that simple averages won't catch.

This tool set lets you analyze how global weather patterns have changed by giving you three distinct approaches: the full 84-year record of every metric (get_historical_weather), the summarized daily extremes (get_historical_daily), and specialized temperature trend data (get_historical_temperature). You're working with decades of raw, quantitative environmental data for anywhere on Earth.