MCP For Claude Marketplace
Wine Aroma Wheel Mapping

Wine Aroma Wheel Mapping MCP Connector for Claude

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Maps chemical concentrations of volatile compounds to human-perceptible wine aroma profiles.

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

This MCP server acts as a sensory translation engine, bridging the gap between chemical analysis and human perception. By processing volatile compound concentrations, it calculates Odor Activity Values (OAV) and applies matrix-adjusted sensory thresholds to predict how a wine will actually smell. Users can use predict_aroma_profile to generate a complete sensory profile, get_dominant_categories to identify primary aroma families, analyze_matrix_influence to see how alcohol and pH affect perception, and map_to_aroma_wheel to translate chemical data into standard Wine Aroma Wheel descriptors.

winechemistryaromasensoryoenology

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

get_dominant_categories

Identifies the high-level aroma families that define the wine

analyze_matrix_influence

Evaluates how the wine's chemical environment might be masking or enhancing specific aromas

map_to_aroma_wheel

Translates specific chemical intensities into standard sensory descriptors found on the Wine Aroma Wheel

predict_aroma_profile

Predicts the complete sensory profile of a wine based on its chemical composition

See how to talk to your AI agent using Wine Aroma Wheel Mapping.

What is the predicted aroma profile for a wine with these concentrations: { 'isoamyl_acetate': 0.5, 'ethyl_hexyl_acetate': 0.2 }?

The predicted profile includes strong notes of Banana and Pear with moderate intensity.

How will the alcohol content affect the perception of these compounds: { 'terpene_a': 0.1 } with 14% alcohol?

The 14% alcohol content is expected to slightly mask the perceived intensity of the terpene concentration.

What are the dominant aroma categories for this sample: { 'methoxypyrazine': 0.05, 'linalool': 0.3 }?

The dominant categories are Floral and Vegetal.

The server uses `analyze_matrix_influence` to evaluate how factors like alcohol content and pH levels modify the perceived intensity of specific compounds.

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