MCP For Claude Marketplace
Grade Control Modeling

Grade Control Modeling MCP Connector for Claude

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Models grade control for ore/waste discrimination to optimize extraction accuracy.

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

This MCP server provides specialized tools for mining grade control. It allows AI agents to identify ore blocks, define operational dig limits, predict dilution impacts, and assess misclassification risks. By using calculate_ore_blocks, agents can quantify material meeting economic criteria, while generate_dig_limits defines the physical boundaries for mining equipment. The server also includes estimate_dilution_impact to predict grade reduction and evaluate_misclassification_risk to manage the probability of ore loss or waste misclassification.

miningore-controlgeologyextractionoptimization

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

calculate_ore_blocks

Identify and quantify volumes of material meeting economic criteria

estimate_dilution_impact

Predict grade reduction caused by waste inclusion during excavation

evaluate_misclassification_risk

Assess probability of ore loss or waste misclassification

generate_dig_limits

Define operational boundaries for mining equipment

See how to talk to your AI agent using Grade Control Modeling.

Calculate the ore blocks for this assay data with a cutoff grade of 0.5.

The identified ore blocks include 3 volumes with an average grade of 0.65, located at coordinates (X:10, Y:20, Z:5).

What are the dig limits for these ore blocks with a selectivity factor of 0.8?

The operational boundaries have been defined as a polygon covering the area from X:5 to X:15 and Y:15 to Y:25.

Estimate the dilution impact for the current dig limits.

The expected dilution is 4.2%, resulting in a predicted final grade of 0.58.

You can use the `calculate_ore_blocks` tool by providing assay data, geological interpretation, and the required cutoff grade.

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