Sensitivity Analysis for Mining

Sensitivity Analysis for Mining MCP Connector for Claude

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Evaluate NPV fluctuations and project risks through parameter sensitivity analysis.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for mining project economic evaluation. It allows users to perform detailed sensitivity analysis on Net Present Value (NPV) by varying key economic and technical parameters. Use calculate_npv_sensitivity to measure individual parameter impacts, generate_spider_diagram_data to prepare visual data for spider charts, and rank_project_risks to prioritize critical economic variables. Additionally, evaluate_correlated_scenarios enables testing of complex scenarios where multiple variables are linked, ensuring realistic risk assessment.

miningnpvsensitivityeconomicsrisk-analysis

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

rank_project_risks

Produces a prioritized list of the most critical variables that could jeopardize project economics

calculate_npv_sensitivity

g., 0.1 for 10%). Determines how much the NPV changes when a single parameter is adjusted within a specified range

generate_spider_diagram_data

Provides the set of data points required to plot a spider chart showing the impact of multiple parameters

evaluate_correlated_scenarios

Analyzes the impact of multiple variables changing simultaneously when they are known to be linked

See how to talk to your AI agent using Sensitivity Analysis for Mining.

What is the sensitivity of the NPV if the gold price increases by 10%?

An increase of 10% in the gold price results in an adjusted NPV of $125,000,000, representing a 15% increase from the base NPV of $108,695,652.

Show me the data for a spider diagram using these parameters: goldPrice (0.1) and operatingCost (0.15).

The spider diagram data is ready. The gold price shows a high positive slope, while the operating cost shows a significant negative impact on the NPV.

Rank the risks for this mining project based on my sensitivity results.

The highest risk factor is 'goldPrice' with a score of 0.85, followed by 'operatingCost' with a score of 0.42.

You can use the `calculate_npv_sensitivity` tool by providing your base case model, the name of the parameter you wish to vary, and the percentage of change.

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