MCP For Claude Marketplace
Wind Statistics Analysis

Wind Statistics Analysis MCP Connector for Claude

A+

Analyze wind speed distributions and seasonality for session planning.

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

This MCP server provides statistical tools to analyze historical wind data. It uses Weibull distribution modeling to calculate central tendency and dispersion. Users can determine the most frequent wind directions, evaluate seasonal fluctuations, and assess the feasibility of planned sessions based on expected wind speeds and volatility.

windweibullmeteorologydata-analysissession-planning

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

optimal_direction

Identifies the most favorable wind direction for planning

seasonality_metrics

Evaluates how much wind patterns fluctuate across different seasons

session_feasibility

Determines if wind conditions are suitable for a planned session

wind_distribution_stats

Calculates central tendency and dispersion metrics for a given set of wind speeds

See how to talk to your AI agent using Wind Statistics Analysis.

Calculate the wind distribution stats for these speeds: [12, 15, 14, 10, 18, 13, 11].

The median wind speed is 13.0 m/s with an IQR of 3.5 m/s.

What is the best wind direction if N is 50, NE is 20, and E is 30?

The best direction is N, occurring 50% of the time.

Is a session feasible with a median speed of 15, IQR of 2, and a target range of 10 to 20?

Yes, the session is feasible with a Low Risk level.

The server uses `get_wind_distribution_stats` to fit wind speed arrays to a Weibull distribution, providing median speed and IQR.

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