MCP For Claude Marketplace
Mining Project Risk Analysis

Mining Project Risk Analysis MCP Connector for Claude

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Perform Monte Carlo simulations to assess financial risk and uncertainty in mining projects.

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

This MCP server provides advanced probabilistic modeling for mining project evaluation. It allows AI agents to execute Monte Carlo simulations to determine the distribution of Net Present Value (NPV) outcomes. By modeling parameter distributions and correlations, users can calculate critical confidence levels like P10, P50, and P90, and determine the probability of loss. The server includes tools to run_monte_carlo_simulation for core modeling, get_parameter_summary for statistical overviews, validate_correlation_matrix to ensure mathematical consistency, and calculate_sensitivity_index to identify key risk drivers.

monte-carlonpvrisk-analysisminingprobabilistic-modeling

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

get_parameter_summary

Provides a descriptive statistical overview of the input parameters

run_monte_carlo_simulation

Executes the core simulation engine to determine the distribution of project outcomes

validate_correlation_matrix

Checks if a set of proposed correlations is mathematically consistent and valid

calculate_sensitivity_index

Identifies which input variables have the greatest impact on the variance of the NPV

See how to talk to your AI agent using Mining Project Risk Analysis.

Run a simulation with 1000 iterations for a project where metal price is lognormal (mean 80, std 5) and ore grade is normal (mean 2, std 0.2).

The simulation results show a P50 NPV of $450M, a P90 of $320M, and a 5% probability of loss.

What is the statistical summary for these parameters: [{"name": "price", "type": "lognormal", "mean": 100, "std": 10}]?

The parameter 'price' has a mean of 100 and a standard deviation of 10.

Check if these correlations are valid for parameters 'price' and 'cost': [{"param1": "price", "param2": "cost", "coefficient": 0.8}]

The correlation matrix is valid and mathematically consistent.

It is a technique that repeatedly samples values from probability distributions for uncertain input parameters to generate a range of possible NPV outcomes.

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