Wine Brettanomyces Growth Model

Wine Brettanomyces Growth Model MCP Connector for Claude

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Predictive modeling for Brettanomyces yeast growth and volatile phenol production in wine.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a predictive engine for winemakers to simulate the growth of Brettanomyces yeast and the subsequent production of volatile phenols like 4-EP and 4-EG. By analyzing environmental factors such as pH, alcohol, and free SO2, users can utilize simulate_population_growth to forecast yeast expansion. The engine also allows for estimating byproduct concentrations via predict_phenol_production, checking sensory limits with check_sensory_threshold, and determining the critical calculate_intervention_window to prevent wine spoilage.

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

calculate_intervention_window

Identifies the optimal time to intervene before spoilage becomes irreversible

simulate_population_growth

Predicts how the Brettanomyces population will expand over a specific timeframe

check_sensory_threshold

Determines if and when the produced phenols will become detectable by human senses

predict_phenol_production

Estimates the concentration of 4-EP and 4-EG produced as a byproduct of yeast activity

See how to talk to your AI agent using Wine Brettanomyces Growth Model.

Predict the yeast growth for 30 days with an initial population of 100, 20g/L sugar, 25°C, 12% alcohol, pH 3.5, and 30mg/L SO2.

The simulated population reaches a stable density of 1500 cells/mL after 22 days, with minimal phenol production detected within this timeframe.

Will the phenol levels exceed a 4-EP threshold of 0.05 if the current growth trajectory is provided?

No, the predicted 4-EP concentration is 0.03, which remains below the sensory threshold.

How much time do I have to act before the wine is spoiled based on these growth and phenol data?

You have 12 days remaining before the sensory threshold for 4-EP is exceeded. The risk level is currently moderate.

You can use `simulate_population_growth` to model yeast expansion and then use `predict_phenol_production` to estimate the concentration of volatile phenols that cause off-flavors.

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