MCP For Claude Marketplace
Wine MLF Progression Model

Wine MLF Progression Model MCP Connector for Claude

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Models malolactic fermentation progression and predicts completion timelines.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized tools for winemakers to model malolactic fermentation (MLF) progression. It calculates malic acid degradation rates, predicts the number of days until completion, and estimates diacetyl production. Using the predict_mlf_progression tool, users can analyze how pH, temperature, SO2, and alcohol levels impact fermentation. The assess_mlf_risk tool identifies potential fermentation failures, while compare_strain_performance allows for evaluating different Oenococcus oeni strains under specific wine profiles. Additionally, get_optimal_conditions provides the ideal environmental parameters for a chosen strain.

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

compare_strain_performance

Compares how different Oenococcus oeni strains would perform under identical wine conditions

assess_mlf_risk

Determines if the current wine conditions are likely to result in a stalled or failed fermentation

get_optimal_conditions

Suggests the ideal environment to maximize fermentation speed for a specific strain

predict_mlf_progression

Calculates the expected timeline and acid reduction for a specific wine profile

See how to talk to your AI agent using Wine MLF Progression Model.

Predict the MLF progression for a wine with 5g/L malic acid, pH 3.4, 20°C, 30mg/L SO2, 13% alcohol, and strain 'standard_01'.

The malic acid degradation rate is 0.45 g/L per day, with an estimated 11 days to completion and a predicted diacetyl production of 1.2 mg/L.

Is there a risk of fermentation failure for a wine with 14.5% alcohol and high SO2?

The failure risk score is 0.85, with High Alcohol identified as the primary risk factor.

What are the optimal conditions for strain 'acid_tolerant_v2' with 4g/L malic acid?

The optimal temperature is 22°C, the target pH range is 3.2-3.5, and the maximum alcohol tolerance is 14.5%.

You can use the `assess_mlf_risk` tool. It evaluates environmental inhibitors like high alcohol or SO2 levels to provide a failure risk score.

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