ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Wine Menu Placement Optimizer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Analyze wine menu positioning to optimize sales using menu engineering.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Wine Menu Placement Optimizer capability set.

These are the exact actions your AI can choose when you ask it to work with Wine Menu Placement Optimizer.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wine Menu Placement Optimizer.

  1. 01

    Get menu benchmarks

    Retrieves standardized visibility and performance thresholds for different menu types

  2. 02

    Analyze wine position

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

  3. 03

    Calculate menu health

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

  4. 04

    Recommend placement optimization

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

One connector, every AI

Wine Menu Placement Optimizer works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Wine Menu Placement Optimizer to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Wine Menu Placement Optimizer, so you can see the experience inside your AI.

It does not authenticate your account with Wine Menu Placement Optimizer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Wine Menu Placement Optimizer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_uT7f7vpTiblvj0Nle8rcwodW1ih06GviduXjyby1/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Wine Menu Placement Optimizer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wine-menu-placement-optimizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_uT7f7vpTiblvj0Nle8rcwodW1ih06GviduXjyby1/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? How to give Claude access to Wine Menu Placement Optimizer

See all the AI clients this connector works with ↑

FAQ

Questions Wine Menu Placement Optimizer owners ask.

  • 01

    How can I improve my high-margin wines that aren't selling?

    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.

  • 02

    What is a visibility score?

    The visibility score, provided by analyze_wine_position, is a metric representing the visual impact of a wine's position based on psychological effects like Primacy and Recency.

  • 03

    Can I analyze both by-glass and bottle lists?

    Yes, all capabilities such as get_menu_benchmarks and calculate_menu_health are designed to handle both 'by-glass' and 'bottle-list' menu types.