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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Wine Label Design Testing with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Design valid A/B testing protocols for wine labels using statistical experimental design.

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 Label Design Testing capability set.

These are the exact actions your AI can choose when you ask it to work with Wine Label Design Testing.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wine Label Design Testing.

  1. 01

    Calculate experiment requirements

    Determines the foundational parameters needed to launch a valid A/B test

  2. 02

    Evaluate label performance

    Compares the performance of two label variants against the target metric

  3. 03

    Segment test results

    Breaks down the experimental results into specific consumer groups

  4. 04

    Simulate shelf impact

    Adjusts predicted performance based on environmental and consumer context

One connector, every AI

Wine Label Design Testing 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Wine Label Design Testing 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 Label Design Testing, so you can see the experience inside your AI.

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

Wine Label Design Testing Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_7axOAo7hMCfpJ5AIbxb0fsshf2Ua1XxTELtT9ibx/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 Label Design Testing capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wine-label-design-testing-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7axOAo7hMCfpJ5AIbxb0fsshf2Ua1XxTELtT9ibx/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 Label Design Testing

See all the AI clients this connector works with ↑

FAQ

Questions Wine Label Design Testing owners ask.

  • 01

    How do I know if my sample size is large enough?

    You can use the calculate_experiment_requirements capability. By providing your target metrics, desired power, and confidence level, it will return the exact required sample size needed for a valid test.

  • 02

    Can I account for different retail environments?

    Yes, the simulate_shelf_impact capability allows you to adjust baseline performance scores based on the shelf context, such as whether the environment is dimly lit or a premium boutique.

  • 03

    How do I compare two different label designs?

    Use the evaluate_label_performance capability. Input the scores and sample sizes for both Variant A and Variant B to determine if the difference is statistically significant.

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