Connect Open-Meteo Historical Weather MCP for AI Agents
Analyzing 84 Years of Global Climate Data for Research
We take care of the infrastructure, maintenance, security, and governance. Works with:
Claude 
ChatGPT 
Cursor 
Gemini 
Windsurf 
VS Code 
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What AI agents can do with Open-Meteo Historical Weather: 3 Tools for Climate Science
These tools allow you to query detailed historical weather metrics, ranging from hourly records spanning decades to summarized daily aggregates.
Get historical weather
Pulls detailed hourly metrics—including temperature and precipitation—for any coordinate over an 84-year range (1940–present).
Get historical daily
Retrieves summarized daily weather reports, such as minimum/maximum temperatures and total sunshine duration.
Get historical temperature
Focuses on long-term climate analysis by providing historical records of apparent temperature, humidity, and dewpoint.
Frequently Asked Questions
Can Open-Meteo Historical Weather MCP provide rainfall totals for any given year? +
Yes, you can pull historical daily aggregates to calculate yearly totals. The MCP covers 84 years of data, meaning you can assess long-term patterns and compare specific seasons across decades.
Is the temperature data in Open-Meteo Historical Weather MCP accurate for climate research? +
The MCP provides detailed records including apparent temperature and humidity. This level of detail makes it ideal for serious climate science, allowing you to track subtle environmental shifts over time.
How far back can I go with the Open-Meteo Historical Weather MCP? +
You can access records starting from 1940. This depth of history makes it useful for studying multi-decade patterns, unlike tools limited to recent years.
Does Open-Meteo Historical Weather MCP handle different types of data? +
It handles a wide range of metrics, including temperature, precipitation (rain/snow), wind speed, and humidity. You can pull all these variables for the same date or period.
Can I use this MCP to assess insurance risk for a specific property? +
Yes. By pulling historical records of extreme events like high precipitation totals or wind speeds in the property's coordinates, you can build much stronger models for underwriting and risk assessment.
How far back does the historical data go? +
All the way to January 1, 1940 — that's 84 years of continuous, hourly global weather data powered by ERA5 reanalysis from ECMWF.
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