MCP For Claude Marketplace
Wine Mouthfeel Predictor

Wine Mouthfeel Predictor MCP Connector for Claude

A+

Predicts sensory mouthfeel attributes of wine based on chemical composition.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides tools to model the sensory experience of wine. By analyzing chemical inputs like tannin concentration, ethanol, and pH, it uses predict_astringency to determine texture quality, predict_body to assess weight, and predict_balance to evaluate structural equilibrium. It can also use calculate_texture_score to provide a holistic mouthfeel metric.

winemouthfeelastringencyviticulturesensory

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

calculate_texture_score

Provides a single holistic metric for the wine's mouthfeel quality

predict_astringency

Determines the specific quality of the drying sensation (astringency) in the wine

predict_balance

Evaluates the structural equilibrium between acidity and other components

predict_body

Determines the perceived weight or thickness of the wine on the palate

See how to talk to your AI agent using Wine Mouthfeel Predictor.

What is the predicted body of a wine with 13.5% ethanol and 0.5g/L glycerol?

The wine has a medium body with a viscosity score of 0.65.

Predict the astringency for a wine with 0.4 tannin concentration and 0.2 polysaccharide concentration.

The predicted astringency is coarse with an intensity of 0.75.

Is a wine with pH 3.5 and titratable acidity 7.0 balanced?

Yes, the wine is balanced with a score of 0.85.

To use `predict_body`, you must provide ethanol and glycerol levels. For `predict_balance`, pH and titratable acidity are required.

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