Gravity Separation Design Engine

Gravity Separation Design Engine MCP Connector for Claude

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Select optimal gravity separation equipment and estimate recovery performance.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for mineral processing design. It allows AI agents to calculate the concentration criterion, select the most suitable equipment such as select_equipment, predict recovery efficiency using estimate_recovery, and evaluate if a mineral stream is viable via analyze_feed_feasibility. It also provides process optimization suggestions through optimize_circuit_parameters to improve recovery or manage throughput.

gravity-separationmineral-processingmetallurgyengineering-toolsrecovery-optimization

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

optimize_circuit_parameters

Suggests adjustments to the process to improve recovery or throughput

select_equipment

Determines the most suitable type of gravity separation equipment for a specific mineral feed

analyze_feed_feasibility

Evaluates if a specific mineral stream is even capable of being separated via gravity methods

estimate_recovery

Predicts the efficiency of the separation process for a chosen piece of equipment

See how to talk to your AI agent using Gravity Separation Design Engine.

What equipment should I use for a mineral with density 4.5, gangue density 2.7, particle size 50-150 microns, and throughput of 50?

The most suitable equipment for these parameters is spirals.

Is it feasible to separate a mineral with density 3.0 and gangue density 2.6 in water?

The concentration criterion is 1.4, which indicates that separation is possible but may be difficult.

Predict the recovery for spirals with mineral density 4.0, gangue density 2.5, and average particle size of 80 microns.

The estimated recovery is 75% with a grade estimate of 0.85.

You can use the `select_equipment` tool by providing the mineral density, gangue density, particle size range, and throughput to find the best fit.

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