Acid Rock Drainage Prediction

Acid Rock Drainage Prediction MCP Connector for Claude

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Predict environmental risk from acid rock drainage using geochemical and kinetic data.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for evaluating the environmental risk of Acid Rock Drainage (ARD). It allows AI agents to analyze geochemical and mineralogical data through standard predictive methodologies. Users can perform static Acid Base Accounting (ABA) using analyze_static_aba, conduct Net Acid Generation (NAG) assessments with run_nag_test, and refine predictions using time-dependent weathering data via evaluate_kinetic_risk. The server also provides a unified risk assessment through classify_drainage_risk, which combines static, NAG, and kinetic results to determine the final environmental impact classification.

acid-rock-drainagegeochemistryenvironmental-riskminingaba-testing

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

classify_drainage_risk

evaluate_kinetic_risk

run_nag_test

analyze_static_aba

See how to talk to your AI agent using Acid Rock Drainage Prediction.

Calculate the acid potential for a sample with 5% sulfur and 20 units of neutralization potential.

The acid potential is 5.0 and the neutralization potential is 20.0, resulting in a high neutralization potential ratio.

Run a NAG test with 15 units of acidity and a sample mass of 100.

The sample is classified as acid-generating with a moderate risk level.

What is the kinetic risk if the static AP is 10, static NP is 15, and the weathering rate is 2?

The kinetic risk is categorized as a delayed risk due to the current buffering capacity.

Static testing, like `analyze_static_aba`, provides a snapshot of acid-generating and neutralizing potential. Kinetic testing, handled by `evaluate_kinetic_risk`, simulates time-dependent weathering to predict how these potentials change over time.

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