- PROJECTIONS
- TRENDS
- PRECIPITATION
- HUMAN
Short answer
How can I project long-term climate trends with my AI?
Your agent pulls high-resolution ensemble data to model how climate variables change over decades at specific coordinates. You get detailed projections for temperature and precipitation shifts. This breakdown shows how it works.
The outcomes.
What you get from the AI.
The AI turns raw climate ensembles into specific trend data.
PROJECTIONS
Decadal climate shifts
The AI pulls multi-decade data for your target coordinates. You get specific temperature and precipitation values for the requested timeframes.
TRENDS
Temperature trajectory
The agent calculates how heat patterns change over time. You see the direction and magnitude of warming or cooling.
PRECIPITATION
Water cycle shifts
The AI models changes in rainfall and snow. You get data on how precipitation patterns evolve for a specific location.
HUMAN
Risk assessment
The AI provides the raw climate data. You interpret these trends to make decisions about land use or infrastructure.
The workflow
What your AI does when the request arrives.
The AI acts as the interface between your prompt and the climate models.
Fetch climate data
The AI requests specific climate variables for the latitude and longitude you provide.
get_climate_projectionAnalyze temperature
The agent processes the ensemble data to identify long-term temperature shifts.
get_climate_temperature_trendModel precipitation
The AI uses the projection tools to determine how rainfall patterns change over decades.
get_climate_projectionSummarize trends
The agent compiles the temperature and precipitation data into a single report.
get_climate_temperature_trend
Try it
Copy these to start.
Use these prompts to begin your climate modeling.
Starting points
Replace the cities and years with the specific locations and timeframes you need to study.
Open-Meteo Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_KndVQSnW3uRL4b5LtC7WaVckk2sSMVovwKGI54mT/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 — Open-Meteo capabilities are ready to use.
{
"mcpServers": {
"open-meteo-climate-ensemble-mcp": {
"url": "https://edge.vinkius.com/vk_preview_KndVQSnW3uRL4b5LtC7WaVckk2sSMVovwKGI54mT/mcp"
}
}
}Project the temperature and precipitation trends for Paris from 2025 to 2055.
What is the projected temperature trend for Sydney over the next 30 years?
Show me the long-term precipitation projections for Cairo through 2060.
Get a climate projection for Seattle to see how temperature shifts over the next two decades.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Open-Meteo Climate & Ensemble once, then ask.
One click connects this MCP to your client. Your credentials stay encrypted on our side, and the setup is handled automatically.
Connect Open-Meteo Climate & Ensemble to your AIFAQ
How this task behaves.
- 01
Can the AI predict the weather for next Tuesday?
No. The tools are designed for long-term climate projections and trends, not short-term weather forecasting.
- 02
Can the AI change the climate data?
No. The AI can only read and process data from the Open-Meteo models; it cannot modify the source data.
- 03
Do I need to provide coordinates?
Yes. The AI needs a specific latitude and longitude to pull the correct data for a location.
- 04
Can the AI create a chart for me?
No. The AI provides the raw data and trend descriptions in text. You must use your own tools to generate visual charts.
- 05
Does this work for any location?
Yes. As long as you provide the coordinates, the AI can request projections for that spot.
More questions about Open-Meteo Climate & Ensemble? The Connector page answers them. See everything the Open-Meteo Climate & Ensemble Connector can do
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