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Resource Classification System

Resource Classification System MCP Connector for Claude

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Classifies mineral resources into JORC or NI 43-101 categories.

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

This MCP server provides professional-grade tools for mineral resource estimation. It allows AI agents to determine resource categories like Measured, Indicated, or Inferred by analyzing geological confidence, drilling density, and data quality. Use classify_resource to determine categories, get_classification_thresholds to retrieve regulatory benchmarks, evaluate_data_readiness to check if datasets are sufficient, and compare_standards to analyze differences between JORC and NI 43-101 frameworks.

jorcni-43-101mineral-resourcegeological-modelingmining-compliance

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

classify_resource

Determine the resource category based on geological and spatial data

compare_standards

Highlights the differences in requirements between JORC and NI 43-101

evaluate_data_readiness

Determines if the current data set is sufficient to attempt a classification

get_classification_thresholds

Provides benchmark values used to distinguish between resource categories

See how to talk to your AI agent using Resource Classification System.

Classify a resource with high geological confidence, 50m drilling density, and excellent data quality.

The resource is classified as Measured.

What are the density limits for the JORC standard?

The density limits for JORC are: Measured (0-25m), Indicated (25-50m), and Inferred (50-100m).

Is my data ready? I have 10 drill holes and excellent data quality.

The data is ready for classification with a Low risk level.

The system supports the JORC and NI 43-101 international reporting standards.

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