MCP For Claude Marketplace
Bottom Turn Mechanics

Bottom Turn Mechanics MCP Connector for Claude

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Analyze surfing bottom turn physics, G-forces, and board suitability.

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

This MCP server provides advanced fluid dynamics and physical modeling for surfing maneuvers. It allows AI agents to calculate the required speed and peak G-forces for specific turn configurations using get_turn_physics_summary. Users can evaluate how well a surfboard performs in specific wave conditions with get_board_suitability and analyze the transition between compression and extension phases via analyze_compression_extension_efficiency. Finally, predict_performance_outcome simulates the success probability of a maneuver based on wave speed, turn radius, and surfer flexibility.

surfingfluid-dynamicsphysics-engineperformance-analysisbiomechanics

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

get_board_suitability

Determines if a specific surfboard is appropriate for a planned bottom turn

analyze_compression_extension_efficiency

Evaluates how effectively a surfer can manage the transition between crouching and standing during the turn

predict_performance_outcome

Simulates the likely result of the maneuver based on all mechanical inputs

get_turn_physics_summary

Provides a comprehensive breakdown of the forces and requirements for a specific turn configuration

See how to talk to your AI agent using Bottom Turn Mechanics.

What are the physics requirements for a turn with a 5m radius in a 10m/s wave using a 30L board with 0.2 rocker?

For a 5m radius turn in a 10m/s wave, the required speed is 8.5 m/s, the peak G-force is 2.4, and the optimal radius is 5.2m with a high stability rating.

Is a 25L board with 0.1 rocker suitable for a tight turn in a fast wave?

The suitability score is 0.4, indicating low suitability for tight turns due to the low rocker and high drag coefficient.

Predict the outcome for a surfer with 0.8 flexibility performing a turn in a 12m/s wave.

The predicted outcome is a High Speed Glide with a 85% success probability and an expected G-force of 1.8.

You can use the `get_board_suitability` tool to receive a suitability score, drag coefficient, and maneuverability index based on wave speed and board characteristics.

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