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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Wine Extraction Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict mannoprotein release and optimize wine stability and mouthfeel.

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 Extraction Model capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wine Extraction Model.

  1. 01

    Assess tartrate stability

    Predicts the wine's resistance to potassium bitartrate precipitation

  2. 02

    Optimize extraction window

    Recommends the ideal timing and duration for lees contact to maximize quality

  3. 03

    Predict mannoprotein release

    Calculates the predicted concentration of mannoproteins released from the lees based on environmental conditions

  4. 04

    Evaluate sensory impact

    Estimates the qualitative improvements in wine texture and mouthfeel

One connector, every AI

Wine Extraction Model 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 Extraction Model 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 Extraction Model, so you can see the experience inside your AI.

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

Wine Extraction Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_6WExvzYX8hrajwnFqYcHTxYsNL8Uqsw59HSt5uR2/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 Extraction Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wine-mannoprotein-extraction-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_6WExvzYX8hrajwnFqYcHTxYsNL8Uqsw59HSt5uR2/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 Extraction Model

See all the AI clients this connector works with ↑

FAQ

Questions Wine Extraction Model owners ask.

  • 01

    How can I predict the concentration of mannoproteins?

    You can use the predict_mannoprotein_release capability by providing the contact time, temperature, yeast strain, and stirring frequency.

  • 02

    Can this model help with tartrate stability?

    Yes, the assess_tartrate_stability capability predicts the wine's resistance to potassium bitartrate precipitation based on mannoprotein levels.

  • 03

    How do I find the best time for sur lie aging?

    Use the optimize_extraction_window capability to receive recommendations for contact time and temperature based on your target mouthfeel and stability.

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