Ore Sorting Optimization

Ore Sorting Optimization MCP Connector for Claude

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Optimize ore sorting circuit design through grade distribution analysis and capacity modeling.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for mining engineers to optimize ore sorting circuits. It allows for detailed analysis of ore quality using analyze_ore_distribution, determination of optimal cut-off grades via calculate_sorting_parameters, and physical hardware verification with evaluate_circuit_capacity. Additionally, it ensures logistical feasibility through perform_mass_water_balance to manage material and water flows accurately.

ore-sortingmining-techcircuit-designmass-balancegrade-optimization

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

analyze_ore_distribution

Analyze the statistical distribution of ore grades in the raw feed

calculate_sorting_parameters

Calculate optimal cut-off grade and predicted recovery

evaluate_circuit_capacity

Evaluate the physical capacity of the sorting circuit

perform_mass_water_balance

Perform mass and water balance calculations

See how to talk to your AI agent using Ore Sorting Optimization.

Analyze this ore grade data: [1.2, 0.5, 2.1, 0.8, 1.5]

The ore distribution analysis shows a mean grade of 1.22 and a maximum grade of 2.1.

What is the capacity for a 1.5m belt moving at 2m/s with ore density of 2.5 t/m3 and 0.05m thickness?

The calculated throughput capacity is 37.5 tonnes per second.

Calculate the mass yield for 1000 tonnes of input with a 0.85 mass yield.

The resulting product mass is 850 tonnes and the waste mass is 150 tonnes.

You can use the `calculate_sorting_parameters` tool, providing your grade data, sensor accuracy, and target recovery to find the optimal threshold.

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