MCP For Claude Marketplace
Snow Hardness Testing

Snow Hardness Testing MCP Connector for Claude

A+

Converts physical snow penetration data into actionable hardness indices and performance predictions.

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

This MCP server provides a specialized analytical engine for snowpack assessment. It allows AI agents to process physical probe measurements--such as depth, force, and temperature--to determine the calculate_hardness_index. Beyond simple metrics, it can analyze_layer_strength to evaluate structural integrity at specific depths, predict_equipment_performance to forecast carving vs. sliding behavior, and apply_diurnal_adjustment to account for daily temperature cycles.

snowweatherskiingsnowboardingphysicsanalysis

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

analyze_layer_strength

Evaluates the structural integrity of a specific snow layer

apply_diurnal_adjustment

Adjusts current hardness and strength values to account for time-of-day environmental shifts

calculate_hardness_index

Determines the primary hardness metric based on physical probe measurements

predict_equipment_performance

Predicts whether a user will be able to carve turns or will experience sliding based on snow state

See how to talk to your AI agent using Snow Hardness Testing.

Calculate the hardness index for a probe depth of 10cm, force of 50N, and snow temperature of -5C.

The hardness index is 5.0, which is classified as Settled/Granular snow.

Will I be able to carve with my skis if the hardness index is 8.5 and the temperature is -2C?

Yes, the prediction is Carving with a high edge hold probability.

What is the strength of a snow layer at 30cm depth with a hardness index of 4.0?

The layer strength is rated as Moderate with a stability rating of 2.

To use `calculate_hardness_index`, you need the probe depth in centimeters, the force applied in Newtons, and the snow temperature in Celsius.

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