MCP For Claude Marketplace
Snowboard Dampening Layers

Snowboard Dampening Layers MCP Connector for Claude

A+

Calculates dampening layer effectiveness and ride stability for snowboard construction.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized tools for snowboard engineers to model vibration absorption using viscoelastic principles. Use vibration_reduction to determine energy dissipation for specific materials, chatter_threshold to predict unstable oscillations at high speeds, and ride_smoothness to evaluate the overall quality of the ride. You can also use optimize_layer_placement to find the ideal depth for dampening materials within the board stack to maximize performance at specific frequencies.

snowboardingvibrationviscoelasticitymaterial-scienceproduct-design

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

chatter_threshold

Predicts the speed at which the snowboard will begin to experience unstable chatter

optimize_layer_placement

Evaluates how moving a dampening layer within the board stack affects performance

ride_smoothness

Provides a qualitative score for the riding experience at a specific speed

vibration_reduction

Determines how much vibration energy is absorbed by a specific material and thickness

See how to talk to your AI agent using Snowboard Dampening Layers.

Calculate the vibration reduction for a 2mm layer of a material with a loss factor of 0.15 and stiffness of 50, at 50Hz.

The vibration reduction for this material and thickness at 50Hz is 22.5%.

What is the chatter threshold speed for a material with stiffness 60 and damping 0.2, a 3mm layer, and a surface roughness of 0.5?

The predicted chatter threshold speed is 18.4 m/s.

If I have 25% vibration reduction, am I riding at 15 m/s, and my chatter threshold is 12 m/s, what is my ride smoothness score?

Your ride smoothness score is 15, as your current speed exceeds the chatter threshold.

You can use the `vibration_reduction` tool by providing the material's loss factor and stiffness as a JSON string, along with the layer thickness and target frequency.

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