Meteostat MCP Connector for Claude

Connect to Meteostat to empower your AI agent with one of the largest databases of historical weather and climate data. Whether you need to analyze past weather patterns for a specific city or interpolate data for a remote coordinate, this server provides the tools to fetch precise meteorological records.

What you can do

• Station Discovery — Use stations_nearby to find weather stations based on GPS coordinates and radius.
• Historical Observations — Fetch hourly, daily, or monthly data using stations_hourly, stations_daily, or stations_monthly for specific stations.
• Point Interpolation — Get weather data for any location on Earth, even without a local station, using point_hourly and point_daily tools.
• Climate Normals — Access long-term averages (30-year periods) via stations_normals to understand regional climate baselines.
• Metadata & Search — Retrieve detailed station information including WMO and ICAO identifiers using stations_meta.

How it works

1. Subscribe to this server
2. Enter your Meteostat RapidAPI Key
3. Start querying weather history from Claude, Cursor, or any MCP-compatible client

Who is this for?

• Data Scientists & Researchers — quickly pull historical weather datasets for environmental analysis or machine learning models.
• Travel & Logistics Planners — check historical weather patterns for specific dates and locations to optimize routing or event planning.
• Developers — integrate weather context into applications without building complex scrapers or data pipelines.