Pit Optimization (Lerchs-Grossmann)

Pit Optimization (Lerchs-Grossmann) MCP Connector for Claude

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Calculate optimal open-pit mine limits using the Lerchs-Grossmann algorithm.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for open-pit mine planning. It uses the Lerchs-Grossmann algorithm to determine the most profitable pit shell by analyzing 3D block models. Users can transform raw data into economic values using calculate_block_values, execute the core optimization with run_lg_optimization, and aggregate business results via summarize_pit_metrics. The server also includes validate_geotechnical_safety to ensure pit walls respect required slope constraints.

mininglerchs-grossmannpit-optimizationgeotechnicalblock-model

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

run_lg_optimization

Executes the Lerchs-Grossmann algorithm to identify the set of blocks that form the most profitable pit shell

summarize_pit_metrics

Aggregates the results of an optimization into high-level business metrics

validate_geotechnical_safety

Checks if a proposed set of pit blocks adheres to the safety slope constraints

calculate_block_values

Transforms raw block model data and economic parameters into net profit/loss values for every individual block

See how to talk to your AI agent using Pit Optimization (Lerchs-Grossmann).

Calculate the net values for my block model with a metal price of 1500 and a base mining cost of 50.

The block values have been calculated. The net value for block ID 101 is 450.50 and for block ID 102 is -12.30.

Run the LG optimization for these block values with a 45 degree slope angle.

The optimization is complete. The ultimate pit limit contains 450 blocks with a total NPV of 12,450,000.

What is the total contained metal in the optimized pit?

The total contained metal in the optimized pit is 85,200 units.

It is a mathematical method used to find the ultimate pit limit by maximizing total profit while respecting geotechnical slope constraints.

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