# Wine Mouthfeel Predictor AI Agent Connect

> Predicts sensory mouthfeel attributes of wine based on chemical composition.

## Overview
- **Category:** chemistry
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_TFzw7Ow8aXZdY6nagWyXfSK7Itulz6fnMqYtvobC/ai-agent-connect
- **Tags:** wine, mouthfeel, astringency, viticulture, sensory

## Description

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.

## Tools

### 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

## Prompt Examples

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

**Response:** 
```
The wine has a medium body with a viscosity score of 0.65.
```

**Prompt:** 
```
Predict the astringency for a wine with 0.4 tannin concentration and 0.2 polysaccharide concentration.
```

**Response:** 
```
The predicted astringency is coarse with an intensity of 0.75.
```

**Prompt:** 
```
Is a wine with pH 3.5 and titratable acidity 7.0 balanced?
```

**Response:** 
```
Yes, the wine is balanced with a score of 0.85.
```

## Frequently Asked Questions

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

**How is the texture score calculated?**
The `calculate_texture_score` tool aggregates the results from astringency, body, and balance predictions to produce a single harmony metric.

**Can I predict the specific type of astringency?**
Yes, the `predict_astringency` tool identifies if the sensation is dry, velvety, or coarse based on tannin and polysaccharide levels.