Wine Citric Acid Metabolism Predictor MCP Connector for Claude

This MCP server provides predictive modeling for the conversion of citric acid into diacetyl during Malolactic Fermentation (MLF). It allows winemakers to forecast the buttery character of a wine by simulating the citrate lyase pathway. Using simulate_citrate_degradation, you can determine the peak diacetyl production based on bacterial strain and temperature. The predict_sensory_profile tool calculates the resulting buttery intensity after accounting for yeast-mediated diacetyl reduction. Additionally, analyze_strain_efficiency evaluates the metabolic potential of specific bacteria, while calculate_mlf_timeline provides the expected duration of the fermentation process and the window of sensory stability.