MCP For Claude Marketplace
Kite Power Variance Engine

Kite Power Variance Engine MCP Connector for Claude

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Calculates power volatility, gust severity, and control margins for kite-based wind energy systems.

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

This MCP server provides specialized modeling for kite-based wind energy systems operating in turbulent environments. It uses a power spectral density model to determine how wind fluctuations impact power stability. Users can use calculate_power_volatility to find the power standard deviation, analyze_gust_severity to evaluate peak-to-mean ratios, evaluate_control_margin to determine safety buffers based on rider skill, and get_operational_risk_profile for a holistic environmental risk assessment.

wind-energykite-powerturbulenceaerodynamicsrisk-assessment

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

analyze_gust_severity

Calculates the ratio between peak power bursts and the steady-state power

calculate_power_volatility

Determines the fundamental volatility and standard deviation of power produced by the kite

evaluate_control_margin

Determines the safety buffer available to the operator to prevent system failure

get_operational_risk_profile

Provides a holistic view of the environmental risks for a specific kite setup

See how to talk to your AI agent using Kite Power Variance Engine.

Calculate the power volatility for a 15m² kite with 12m/s wind and 0.15 turbulence intensity at 0.8 efficiency.

The power standard deviation is 42.5 W and the mean power is 1250 W.

What is the control margin for an expert rider with a 5000W limit in 10m/s wind and 0.2 turbulence?

The control margin is 1250 W and the safety status is stable.

Analyze the risk profile for a novice rider in high turbulence (0.3) with 5 gusts per minute.

The risk score is 8.5, the volatility index is high, and the stability rating is critical.

The `evaluate_control_margin` tool uses the rider skill level to adjust the safety buffer. An 'expert' level provides a buffer boost, while a 'novice' level imposes a penalty on the usable margin.

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