Wine H2S Risk Predictor

Wine H2S Risk Predictor MCP Connector for Claude

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Predict H2S formation risk and get nutrient/copper recommendations.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for winemakers to monitor and mitigate the risk of hydrogen sulfide (H2S) formation during fermentation. By analyzing yeast strain, nitrogen levels (YAN), and vitamin status, the server can predict_h2s_risk to identify metabolic stress. It also provides actionable guidance through calculate_preventive_nutrients for nitrogen and vitamin additions, and estimate_copper_treatment for managing existing sulfur issues. Use get_fermentation_safety_status to monitor overall fermentation stability.

winemakingfermentationchemistryyeastsulfur

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

calculate_preventive_nutrients

Recommends the specific amounts of nutrients needed to mitigate the identified H2S risk

estimate_copper_treatment

Calculates the required amount of copper for a trial to eliminate existing or predicted H2S

get_fermentation_safety_status

Provides a high-level summary of the fermentation environment to determine if immediate intervention is required

predict_h2s_risk

Determines the probability that a specific must will produce H2S based on current conditions

See how to talk to your AI agent using Wine H2S Risk Predictor.

What is the H2S risk for a yeast strain with YAN 150, sulfur residue 0.5, temperature 20, pH 3.5, and optimal vitamin status?

The H2S formation probability is 0.05, which is a Low risk level. The primary driver is stable nitrogen levels.

How much nitrogen and vitamins do I need for a yeast strain with YAN 120 and deficient vitamin status?

You need to add 25.0 mg/L of nitrogen and 10.0 mg/L of vitamin supplement to reach safe thresholds.

Calculate the copper dosage needed for a 0.8 formation probability and 1.2 sulfur residue.

The required copper dosage is 0.45 mg/L, with a recommended trial duration of 5 days for high effectiveness.

Predictions are based on a biochemical sulfur metabolism model that evaluates the interaction between YAN, vitamin status, and temperature.

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