- TRENDS
- EXTREMES
- LOCATIONS
- HUMAN
Short answer
How can I use my AI to look at past weather?
Give your AI a set of coordinates and a timeframe. It will fetch the specific temperature, precipitation, or wind data you need and then run the analysis for you. You'll get clear breakdowns of trends and anomalies.
The outcomes
What you get from the data
The AI turns raw weather logs into usable insights.
TRENDS
Spot seasonal shifts
The AI pulls monthly data to show how temperatures or rainfall have changed over years. You get a clear view of long-term patterns.
EXTREMES
Identify weather spikes
Use hourly or daily records to find specific heatwaves, storms, or cold snaps. Your agent identifies exactly when these events occurred.
LOCATIONS
Target specific spots
Since the data is tied to coordinates, you can analyze weather for a specific farm, building site, or city. The AI handles the mapping.
HUMAN
Verify the findings
The AI provides the numbers and the logic, but you decide if the patterns matter for your specific project or business needs.
The workflow
What your AI does when the request arrives.
Your agent acts as the bridge between your question and the Meteostat database.
Locate the data
Your agent uses the coordinates you provide to find the right weather station or point in the database.
point_dailyFetch the records
The AI pulls the specific metrics you asked for, whether you need a granular hourly view or a broad monthly summary.
point_hourlypoint_monthlyProcess the numbers
Instead of you staring at a spreadsheet, the AI calculates averages, totals, and deviations from the norm.
point_dailySummarize findings
The agent translates the raw data into a plain English report that highlights the most important weather events.
point_monthly
Try it
Copy these to start.
Use these prompts to kick off your analysis.
Starting points
Swap out the bracketed info with your specific coordinates and dates.
Meteostat Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_JKO90Yyhey42dI7p2Gfm0lxPKzXASmcXKPATx7N7/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Meteostat capabilities are ready to use.
{
"mcpServers": {
"meteostat-mcp": {
"url": "https://edge.vinkius.com/vk_preview_JKO90Yyhey42dI7p2Gfm0lxPKzXASmcXKPATx7N7/mcp"
}
}
}Get the daily weather for [lat, lon] for the month of July 2023.
Compare the average monthly temperature in [city/coords] between 2010 and 2020.
Find the highest hourly wind speed recorded at [lat, lon] last winter.
Analyze the precipitation trends for [coordinates] over the last five years.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Meteostat once, then ask.
One click connects the MCP to your client. Your credentials stay encrypted and secure, and you can start asking questions immediately.
Connect Meteostat to your AIFAQ
How this task behaves
- 01
Can the AI predict future weather?
No. This tool only accesses historical records to show what has already happened.
- 02
Do I need to provide latitude and longitude?
Yes. The AI needs specific coordinates to pull the correct data from the database.
- 03
Can the AI change the weather data?
No. The AI can only read and interpret the data; it cannot modify the historical records.
- 04
Can I get data for any place on Earth?
Yes, as long as there is weather station data available at those coordinates in the Meteostat database.
- 05
Will the AI create a CSV file for me?
The AI can format the data into a table or a list that you can copy, but it does not directly write files to your hard drive.
More questions about Meteostat? The Connector page answers them. See everything the Meteostat Connector can do
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