ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Wine Metabolism Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predicts diacetyl formation and sensory profiles during Malolactic Fermentation.

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 Metabolism Engine capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wine Metabolism Engine.

  1. 01

    Analyze strain efficiency

    Analyzes how much buttery potential a specific strain provides relative to its citrate consumption

  2. 02

    Calculate mlf timeline

    Calculates the total expected duration of the MLF process and the window of sensory stability

  3. 03

    Predict sensory profile

    Predicts when the wine will exhibit buttery characteristics and how intense they will be

  4. 04

    Simulate citrate degradation

    Simulates how quickly citric acid is consumed and the peak diacetyl production level

One connector, every AI

Wine Metabolism Engine 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 Metabolism Engine 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 Metabolism Engine, so you can see the experience inside your AI.

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

Wine Metabolism Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_BcAs2IH6ZE0u1Bvko1eO4Vcqn9SHrypM1i814XbM/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 Metabolism Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wine-citric-acid-metabolism-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_BcAs2IH6ZE0u1Bvko1eO4Vcqn9SHrypM1i814XbM/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 Metabolism Engine

See all the AI clients this connector works with ↑

FAQ

Questions Wine Metabolism Engine owners ask.

  • 01

    How does this capability help in predicting wine flavor?

    It uses the simulate_citrate_degradation capability to model how citric acid is converted into diacetyl, allowing you to predict the intensity of buttery aromas before fermentation is complete.

  • 02

    Can I account for yeast activity in my predictions?

    Yes, the predict_sensory_profile capability includes a yeast activity coefficient to simulate how much diacetyl will be reduced by yeast during the process.

  • 03

    What parameters are needed for the MLF timeline?

    To use calculate_mlf_timeline, you need to provide the bacterial strain, the fermentation temperature, and the initial citric acid concentration.