MCP For Claude Marketplace
Wine Tasting Panel Design

Wine Tasting Panel Design MCP Connector for Claude

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

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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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.

winesensorystatisticsquality-controlpanelist-selection

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

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

See how to talk to your AI agent using Wine Tasting Panel Design.

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

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

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

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

What is the average consistency of my panel based on these tasting records?

The average consistency for the provided tasting records is 0.78.

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.

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