Wine Menu Placement Optimizer

Wine Menu Placement Optimizer MCP Connector for Claude

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Analyze wine menu positioning to optimize sales using menu engineering.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides strategic analysis tools for restaurant managers to optimize wine menu performance. By applying menu engineering principles, it evaluates how wine placement affects consumer behavior. Use analyze_wine_position to calculate visibility scores and sales probability for specific items, or calculate_menu_health to categorize your offerings into Stars, Plowhorses, Puzzles, and Dogs. For actionable improvements, recommend_placement_optimization suggests specific structural changes to maximize profit or volume based on your current menu layout.

winemenu-engineeringsales-optimizationrestaurantanalytics

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

get_menu_benchmarks

Retrieves standardized visibility and performance thresholds for different menu types

analyze_wine_position

Evaluates the strategic effectiveness of a specific wine's placement on a menu

calculate_menu_health

Provides a high-level overview of a menu's performance based on sales and profitability data

recommend_placement_optimization

Suggests specific structural changes to the menu to improve the performance of "Puzzle" or "Dog" items

See how to talk to your AI agent using Wine Menu Placement Optimizer.

How is the placement of the first wine in my by-glass menu performing?

The wine at position 0 has a high visibility score due to the Primacy effect, resulting in a high sales probability.

Analyze my menu health with this data: [{"volume": 50, "margin": 20}, {"volume": 10, "margin": 45}] and type 'by-glass'.

Your menu contains 1 Plowhorse and 1 Puzzle item, with an overall performance score of 0.75.

What are the ideal margin thresholds for a bottle list?

For a bottle list, the ideal margin threshold is 0.45 and the optimal position range is [0, 2].

You can use `recommend_placement_optimization` to identify high-margin 'Puzzle' items and receive specific suggestions on moving them to high-visibility positions like Prime zones.

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