Wine Temperature Stratification Model

Wine Temperature Stratification Model MCP Connector for Claude

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Models temperature gradients and predicts hot spots in fermentation tanks.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized thermal modeling for wine fermentation. It uses heat transfer and natural convection models to analyze vertical temperature distributions. By using get_temperature_profile, agents can identify thermal stratification. The predict_hot_spots tool identifies dangerous heat accumulation zones, while calculate_mixing_needs determines if interventions like pump-over or punch-down are required. Additionally, evaluate_cooling_efficiency assesses if the cooling jacket can manage the current fermentation load.

winemakingfermentationthermal-modelingtemperature-controlagritech

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

calculate_mixing_needs

Determines if and when manual intervention is required to prevent thermal issues

evaluate_cooling_efficiency

Assesses how well the current cooling setup can handle the current fermentation load

get_temperature_profile

Analyzes the vertical temperature distribution within a specific tank

predict_hot_spots

Identifies specific zones within a tank where heat accumulation is likely to exceed safety thresholds

See how to talk to your AI agent using Wine Temperature Stratification Model.

Analyze the temperature profile for a tank that is 5m high, 2m in diameter, with an ambient temperature of 20C and fermentation intensity of 0.8, with the jacket at the middle.

The temperature profile shows a gradient of 1.2°C/m, with a cap temperature of 22.5°C and a maximum gradient of 1.2.

Are there any hot spots in a 10m high, 3m diameter tank with high fermentation intensity (0.9) and a bottom jacket position?

A hot spot is predicted in the upper zone (8m-10m depth) with an estimated temperature of 28.5°C, which is classified as high severity.

Do I need to intervene in my fermentation tank?

Yes, a pump-over is recommended because the temperature gradient has exceeded the target range.

You can use the `get_temperature_profile` tool to analyze the vertical temperature distribution and check for significant gradients.

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