Wine Bottle Variation Predictor MCP Connector for Claude
A+Predicts bottle-to-bottle variation and quality windows using stochastic oxygen ingress modeling.
This MCP server provides a predictive analysis engine to model how oxygen ingress affects wine quality over time. By accounting for closure lot variation, fill height, and storage orientation, it helps predict the expected variation in oxygen exposure and identifies the optimal drinking window for a batch of bottles. Use predict_variation_at_age to calculate quality deviation, calculate_quality_outliers to find the percentage of bottles outside quality limits, get_optimal_drinking_window to identify peak quality years, and simulate_storage_impact to compare horizontal versus vertical storage effects.
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