# Wine Tasting Panel Design AI Agent Connect

> Design sensory tasting panels for wine quality control by calculating panelist requirements and reliability.

## Overview
- **Category:** quality-control
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_9M3OfxVVHqQctzp4DS59v1jDYSK6pOiwGpZNQIQN/ai-agent-connect
- **Tags:** wine, sensory, statistics, quality-control, panelist-selection

## Description

This MCP server provides tools to design sensory tasting panels for wine quality control. It calculates the necessary number of panelists and replications based on test types like difference, descriptive, or preference testing. Use `calculate_panel_requirements` to determine headcount, `select_qualified_panelists` to filter candidates based on sensitivity and consistency, `evaluate_panel_performance` to analyze historical data, and `predict_test_reliability` to estimate the success probability of a designed panel.

## Tools

### calculate_panel_requirements
Determines the minimum number of panelists and replications needed for a specific sensory test

### evaluate_panel_performance
Analyzes historical or current tasting data to assess the reliability of the panel

### predict_test_reliability
Estimates the likelihood that the designed panel will successfully meet its objectives before the test begins

### select_qualified_panelists
Filters a list of available panelists to find those who meet the specific requirements of a designed test

## Prompt Examples

**Prompt:** 
```
How many panelists and replications do I need for a difference test with 0.95 statistical power, 0.8 sensitivity, and 0.7 consistency?
```

**Response:** 
```
For a difference test with those parameters, you will need 12 panelists with 3 replications each, totaling 36 tastings.
```

**Prompt:** 
```
I have a list of panelists. Can you find 5 people who have at least 0.8 sensitivity and 0.8 consistency?
```

**Response:** 
```
The following 5 panelists have been selected: Panelist ID 102, 105, 110, 115, and 120.
```

**Prompt:** 
```
What is the average consistency of my panel based on these tasting records?
```

**Response:** 
```
The average consistency for the provided tasting records is 0.78.
```

## Frequently Asked Questions

**How do I determine how many people I need for a descriptive test?**
You can use the `calculate_panel_requirements` tool by providing the test type as 'descriptive', your desired statistical power, and the expected sensitivity and consistency of your panel.

**Can I filter panelists by their specific scores?**
Yes, the `select_qualified_panelists` tool allows you to filter available candidates using minimum sensitivity and consistency thresholds.

**How can I check if my panel is reliable enough for a new test?**
Use the `predict_test_reliability` tool. It takes your design parameters and current panel performance to provide a reliability score and risk level.