MCP For Claude Marketplace
Exploration Success Probability Engine

Exploration Success Probability Engine MCP Connector for Claude

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Assess geological exploration risk and discovery likelihood.

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

This MCP server provides specialized computational tools for assessing the risk and likelihood of resource discovery within geological exploration programs. It accounts for spatial and geological correlations between multiple prospects to provide accurate risk assessments. Use calculate_discovery_probability to determine the cumulative likelihood of finding at least one resource, or calculate_risked_resource to estimate the mathematical value of a potential find based on success probability.

geologyprobabilityresource-estimationexplorationrisk-modeling

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

calculate_discovery_probability

Determine the cumulative likelihood of finding at least one resource in the exploration portfolio

calculate_expected_value

Quantify the average number of successful discoveries expected from the current portfolio

calculate_risked_resource

Estimate the risked volume of a resource by applying probability to the total potential volume

analyze_correlation_sensitivity

Understand how sensitive the discovery probability is to changes in the geological correlation

See how to talk to your AI agent using Exploration Success Probability Engine.

What is the probability of finding at least one resource if I have 5 prospects, each with a 20% success chance, and a correlation of 0.3?

The probability of at least one discovery is 64.2%.

Calculate the risked volume for a prospect with a 15% success probability and a total potential volume of 500 million cubic meters across 3 prospects.

The risked volume is 225 million cubic meters.

How many successful discoveries should I expect from 10 prospects with a 25% individual success probability?

You can expect 2.5 successful discoveries.

High correlation means successes are likely to cluster. The `calculate_discovery_probability` tool adjusts the cumulative probability downward as correlation increases, reflecting that successes are not independent events.

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