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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Wine Score Prediction with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict professional critic scores and identify score drivers for wines.

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 Score Prediction capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wine Score Prediction.

  1. 01

    Analyze score drivers

    Identify attributes responsible for the predicted score

  2. 02

    Evaluate improvement opportunities

    Suggest changes to increase the predicted score

  3. 03

    Get critic profile

    Retrieve historical scoring tendencies of a specific critic

  4. 04

    Predict wine score

    Predict a professional critic score for a wine based on its profile

One connector, every AI

Wine Score Prediction 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 Score Prediction 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 Score Prediction, so you can see the experience inside your AI.

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

Wine Score Prediction Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_X1N8Ct65WibzxX8d7ykwMURjO5eWH6mPfj5sInN0/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 Score Prediction capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wine-score-prediction-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_X1N8Ct65WibzxX8d7ykwMURjO5eWH6mPfj5sInN0/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 Score Prediction

See all the AI clients this connector works with ↑

FAQ

Questions Wine Score Prediction owners ask.

  • 01

    How accurate are the predicted scores?

    Scores include a confidence interval based on historical data density for similar wine profiles, providing a range rather than a single fixed number.

  • 02

    Can I adjust predictions for specific critics?

    Yes, by using the targetCritic parameter in predict_wine_score, the model adjusts for the historical scoring tendencies and stylistic preferences of that specific critic.

  • 03

    What data is required for a prediction?

    You need to provide the grape variety, region, vintage year, winemaking techniques, and analytical chemical parameters like pH and alcohol content.

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