- DATA
- MODEL
- LOGIC
- HUMAN
Short answer
How can I use AI to differentiate wind-waves from swell?
Your AI pulls high-resolution wave and swell data to separate local wind-driven waves from distant swell. It uses wave height, period, and direction to build a clear sea state model. You get a breakdown of water movement for your specific coordinates.
The outcomes
What your analysis produces
The AI processes raw marine data into structured sea state models.
DATA
Precise wave metrics
The AI pulls specific wave height, period, and direction data. You get the exact numbers needed for your location.
MODEL
Swell vs wind-wave separation
Your agent distinguishes between local wind-waves and long-period swell. This clarifies the actual energy in the water.
LOGIC
Sea state categorization
The AI uses the forecast to classify conditions like calm or rough. It maps the data to specific sea state profiles.
HUMAN
Operational decisions
The AI provides the data models, but you decide if conditions are safe for deployment or transit.
The workflow
What your AI does when the data arrives.
Your agent acts as a data analyst, pulling and interpreting marine weather variables.
Fetch marine data
Your agent requests the latest wave and swell parameters for your target coordinates.
get_marine_forecastIsolate swell components
The AI looks at wave periods and directions to separate swell from local wind-waves.
get_marine_forecastModel sea states
It uses the fetched data to categorize the sea state, such as moderate or rough.
get_marine_forecastSummarize conditions
Your agent presents a clear summary of the wave energy and sea state for your review.
get_marine_forecast
Try it
Copy these to start.
Use these prompts to begin your analysis.
Starting points
Replace the bracketed coordinates with your actual target location.
Open-Meteo Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_HcIR2MlwVXfvi5XiRNzLyeJyJQX0CZu8E9WtQiGF/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-marine-weather-mcp": {
"url": "https://edge.vinkius.com/vk_preview_HcIR2MlwVXfvi5XiRNzLyeJyJQX0CZu8E9WtQiGF/mcp"
}
}
}Get the marine forecast for [lat, lon] and tell me if the swell is dominant.
Analyze the sea state at [lat, lon] and differentiate between wind-waves and swell.
Compare the wave height and period for [lat, lon] to determine the sea state category.
Based on the marine forecast for [lat, lon], what are the primary swell directions?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Open-Meteo Marine Weather once, then ask.
Connect the MCP to your client in one click. Your credentials stay encrypted on our side and you can start asking questions immediately.
Connect Open-Meteo Marine Weather to your AIFAQ
How this task behaves
- 01
Can the AI predict future sea states?
Yes, it uses the forecast data provided by the tool to project upcoming conditions.
- 02
Can the AI change the weather data?
No. The AI only reads the forecast data. It cannot modify or overwrite any weather information.
- 03
Does the AI make safety decisions for my vessel?
No. The AI provides the data and models, but all safety and operational decisions stay with you.
- 04
Can I get data for any location?
Yes, provided the coordinates are within the coverage area of the marine forecast tool.
- 05
Can the AI generate a visual map of the waves?
No. The AI only processes and describes the text-based data from the forecast.
More questions about Open-Meteo Marine Weather? The Connector page answers them. See everything the Open-Meteo Marine Weather Connector can do
Connect Open-Meteo to Claude, Cursor, ChatGPT & more
