Switch Carve Difficulty Analyzer

Switch Carve Difficulty Analyzer MCP Connector for Claude

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Quantify the physical and technical complexity of switch carving maneuvers.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized biomechanical and physics-based analysis for snowboarders performing switch (non-natural) carving turns. By analyzing rider weight, speed, turn radius, stance symmetry, and practice hours, the tools calculate precise difficulty scores and edge hold reduction. Use get_carve_difficulty to determine the challenge of a specific maneuver, get_skill_impact_analysis to see how experience mitigates difficulty, getStanceOptimizationAdvice to receive binding adjustment recommendations, and get_safety_speed_bounds to identify the optimal speed range for maintaining edge grip.

snowboardcarvingbiomechanicsphysicssports-tech

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

get_stance_optimization_advice

Provides advice on adjusting bindings or stance to reduce difficulty

get_carve_difficulty

Calculates the difficulty of a switch carve based on physical and skill factors

get_safety_speed_bounds

Calculates safe speed range for a specific turn

get_skill_impact_analysis

Calculates how practice hours mitigate the difficulty

See how to talk to your AI agent using Switch Carve Difficulty Analyzer.

How difficult will a switch carve be if I weigh 75kg, go 8m/s, with a 10m radius, 0.7 symmetry, 50 hours of practice, and binding angles of {"front": 15, "rear": -8}?

The difficulty score for this maneuver is 6.5, with an edge hold reduction of 12% and a recommended speed of 7.8 m/s.

What is the safe speed range for a 70kg rider with a 12m turn radius and 15% edge hold reduction?

The safe speed range is between 5.2 m/s and 8.4 m/s, with a Moderate risk level.

How can I adjust my bindings to make switch carving easier for a 80kg rider with 0.5 symmetry?

It is recommended to increase the rear binding angle by 3 degrees to better align your center of mass, which is predicted to reduce difficulty by 1.2 points.

It uses biomechanical models to calculate how much grip you lose in a switch stance and provides specific binding adjustments via `getStanceOptimizationAdvice` to help you maintain control.

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