MCP For Claude Marketplace
Rock Fall Modeling

Rock Fall Modeling MCP Connector for Claude

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Predict rock fall trajectories, impact forces, and barrier effectiveness.

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

This MCP server provides advanced physical modeling for rock fall hazards. It allows AI agents to simulate how rocks move down slopes using simulate_trajectory, calculate the intensity of contact with calculate_impact_force, evaluate safety structures with analyze_barrier_effectiveness, and assess terrain hazards via get_slope_risk_profile.

simulationgeologyhazardphysicsterrain

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

analyze_barrier_effectiveness

Evaluates if a specific barrier can successfully stop a predicted rock fall

calculate_impact_force

Determines the intensity of energy at a specific point of contact

get_slope_risk_profile

Provides a high-level summary of hazards for a specific terrain configuration

simulate_trajectory

Predicts the movement path and final position of a falling rock

See how to talk to your AI agent using Rock Fall Modeling.

Predict the movement of a 50kg rock falling down a 45-degree slope with a 20m vertical drop.

The rock will travel a total runout distance of 35.4 meters with a final energy of 120.5 Joules.

What is the impact force of a 10kg rock hitting a hard rock surface at 15 m/s?

The impact will result in a peak force of 450 Newtons with a kinetic energy of 1125 Joules.

Will a flexible net with 0.8 integrity stop a rock with 500 Joules of energy?

Yes, the barrier has an absorption capacity of 650 Joules, which is sufficient to stop the rock.

You can simulate rock movement paths, calculate the force of impacts on different surfaces, and test if barriers like flexible nets can stop falling rocks.

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