Wine Oxidative Polymerization Model MCP Connector for Claude
A+Predictive chemical modeling of phenolic polymerization and wine oxidation.
This MCP server provides a predictive engine for modeling the chemical transformation of phenolic compounds during wine oxidation. It allows AI agents to calculate polymeric pigment formation, predict color shifts (hue changes), and assess the evolution of mouthfeel and astringency. By analyzing the interaction between anthocyanins and tannins, the model accounts for oxygen exposure, acetaldehyde levels, and the inhibitory effects of glutathione. Use predict_pigment_formation to model pigment mass, calculate_color_evolution to track hue changes, assess_sensory_impact to monitor astringency, and evaluate_browning_risk to identify excessive oxidation risks.
Available Tools
predict_pigment_formation_tool, calculate_color_evolution_tool, assess_sensory_impact_tool, evaluate_browning_risk_tool
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