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Access historical weather data from 11,000+ stations for analysis and research.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Meteostat" MCP server from askskill: Run: claude mcp add --transport http 'io-github-pipeworx-io-meteostat' 'https://gateway.pipeworx.io/meteostat/mcp'
Use Meteostat to fetch Beijing's daily high, low, and average temperatures for the past 30 days, and present them in a table.
A table of Beijing's daily temperatures over the past 30 days for trend review or further analysis.
Use Meteostat to retrieve Shanghai's monthly precipitation data for the past year and summarize the three wettest months.
Monthly precipitation data with a short summary highlighting the peak rainfall months.
Use Meteostat to get New York's daily weather data for 2023 and provide a structured field layout for analysis, including date, temperature, precipitation, and wind speed.
Structured weather data or a field schema ready for analytics workflows or scripting.
Get current weather, forecasts, and historical climate data for any location.
Access free Open-Meteo data for forecasts, history, air quality, and marine insights.
Access Open-Meteo weather data through MCP for apps and automations.
Access forecasts, climate history, and alerts for travel, agriculture, and research.
Access global weather, forecasts, air quality, and climate data without API keys.
Get city weather and list available cities for quick weather lookup.