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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Wine Quality Analysis with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Statistical analysis of sensory evaluation scores for wine quality.

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 Quality Analysis capability set.

These are the exact actions your AI can choose when you ask it to work with Wine Quality Analysis.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wine Quality Analysis.

  1. 01

    Identify panelist outliers

    Finds panelists whose scoring behavior deviates significantly from the group norm

  2. 02

    Detect discriminant capability

    Checks if the panel is actually capable of telling the wines apart

  3. 03

    Evaluate panel consistency

    Determines how well the panelists agree with one another

  4. 04

    Get wine summary

    Provides a high-level overview of the mean quality scores for all wines in the dataset

One connector, every AI

Wine Quality Analysis 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 Quality Analysis 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 Quality Analysis, so you can see the experience inside your AI.

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

Wine Quality Analysis Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_DPoropZD7g6DLt6dfJv010NTp3tvSczFNRGreRGd/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 Quality Analysis capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wine-quality-score-analysis-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_DPoropZD7g6DLt6dfJv010NTp3tvSczFNRGreRGd/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 Quality Analysis

See all the AI clients this connector works with ↑

FAQ

Questions Wine Quality Analysis owners ask.

  • 01

    What kind of data does this server process?

    It processes sensory evaluation scores, including wine IDs, panelist IDs, and numerical scores assigned during tastings.

  • 02

    How can I identify if my tasting panel is reliable?

    You can use the evaluate_panel_consistency capability to calculate agreement coefficients and determine if the panel's scoring is consistent.

  • 03

    Can I find panelists who are scoring inconsistently?

    Yes, the identify_panelist_outliers capability detects panelists whose scoring behavior deviates significantly from the group norm.

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