MCP For Claude Marketplace
Wind Lull Predictor

Wind Lull Predictor MCP Connector for Claude

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Predict wind lull duration, minimum speeds, and recovery timing.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides precise atmospheric modeling to predict wind lulls. By analyzing wind variability, thermal cycles, and location types, it calculates expected lull duration, minimum wind speeds, and recovery timing. Use calculate_lull_metrics to get full metrics, compare_location_risk to evaluate different environments, estimate_recovery_window to predict when wind will return to normal, and validate_forecast_stability to check prediction confidence.

windlullforecastatmosphericmeteorology

4 tools expose this connector's capabilities to your AI agent.

validate_forecast_stability

Is the current forecast stable enough to predict a reliable lull?

calculate_lull_metrics

What is the expected duration, minimum speed, and recovery time for a lull based on current conditions?

compare_location_risk

How does the risk of a wind lull change between two different locations?

estimate_recovery_window

When will the wind return to normal after a lull begins?

See how to talk to your AI agent using Wind Lull Predictor.

What is the expected duration and minimum wind speed for a lull with an average wind speed of 10 m/s, variation of 2, thermal intensity of 5, in a coastal area?

The expected lull duration is 450 seconds, with a predicted minimum wind speed of 3.5 m/s and a recovery time of 600 seconds.

When will the wind return to normal if a lull has already lasted 300 seconds with a wind variation of 3 and thermal intensity of 4 in an inland area?

The estimated remaining wait time is 240 seconds, with a 0.75 probability of immediate recovery.

Is my forecast stable for a wind speed of 12 m/s and variation of 1 with thermal intensity of 2?

Yes, the forecast is stable with a confidence score of 0.92.

Accuracy depends on the stability of the forecast. You can use `validate_forecast_stability` to check the confidence score for your specific conditions.

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