MCP For Claude Marketplace
Ore Reserve Estimator

Ore Reserve Estimator MCP Connector for Claude

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Estimates mineral ore reserves using geostatistical interpolation and geological constraints.

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

This MCP server provides specialized tools for mineral resource estimation. It allows AI agents to calculate ore tonnage and grade using methods like calculate_tonnage_and_grade, classify reserves into Proven or Probable via classify_reserves, and define spatial limits with define_geological_domain. It also includes validate_data_integrity to ensure drilling and assay data are consistent before processing.

geostatisticsminingore-estimationkrigingresource-modeling

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

classify_reserves

Assigns a confidence level (Proven or Probable) to the calculated reserves based on data density

calculate_tonnage_and_grade

Determines the total mass and the average concentration of the target metal within a defined area

define_geological_domain

Sets the spatial boundaries within which ore estimation is allowed to occur

validate_data_integrity

Ensures the provided drilling and assay data are spatially and logically consistent before processing

See how to talk to your AI agent using Ore Reserve Estimator.

Calculate the tonnage and grade for these samples with a density of 2.7 and a cut-off grade of 0.5 using kriging.

The total tonnage is 1,250,000 tonnes with an average grade of 0.85% copper.

Classify the reserves with a continuity index of 0.8 and a sampling density threshold of 25.

The reserves are classified as 450,000 tonnes of Proven ore and 800,000 tonnes of Probable ore.

Check if my drilling data is consistent.

The data integrity check passed successfully with no errors found.

The server supports Kriging and Inverse Distance Weighting (IDW) through the `calculate_tonnage_and_grade` tool.

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