Slope Stability Analysis for Open Pit Mines

Slope Stability Analysis for Open Pit Mines MCP Connector for Claude

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Analyze slope stability using limit equilibrium methods to calculate Factor of Safety and failure modes.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for open-pit mine stability assessment. It uses limit equilibrium methods to evaluate the structural integrity of slopes. Engineers can use get_stability_factor to determine the safety margin, find_critical_slip_surface to identify potential failure paths, and calculate_failure_probability for statistical risk assessment. Additionally, simulate_loading_scenario allows for predicting how external forces like seismic activity impact stability.

mininggeotechnicalstabilityslopesafety

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

calculate_failure_probability

Estimates the likelihood of a slope failure occurring under current or predicted conditions

find_critical_slip_surface

Identifies the most likely path along which the slope will fail

get_stability_factor

Calculates the Factor of Safety for a specific slope configuration

simulate_loading_scenario

Predicts how the Factor of Safety changes when new external loads are applied

See how to talk to your AI agent using Slope Stability Analysis for Open Pit Mines.

What is the Factor of Safety for a slope with 30m height, 45 degree angle, and 10m width, using rock with 50kPa cohesion and 30 degree friction?

The Factor of Safety for the specified slope configuration is 1.45, indicating a stable condition.

Find the most likely slip surface for a weathered rock slope with high pore pressure.

The most likely failure path is a circular slip surface at a depth of 12.5 meters.

What is the probability of failure if we increase the water pressure?

The estimated probability of failure under increased water pressure is 12% with a high confidence interval.

You can use the `get_stability_factor` tool by providing the slope geometry, rock properties, and water conditions as JSON strings.

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