ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Wine Glycerol Production Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predicts glycerol formation and sensory impact during wine fermentation.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Wine Glycerol Production Model capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wine Glycerol Production Model.

  1. 01

    Simulate stress impact

    Analyzes how specific stress factors (osmotic or nutrient-based) will deviate the glycerol yield from a standard baseline

  2. 02

    Get expected glycerol concentration

    Calculates the predicted concentration of glycerol at the end of fermentation

  3. 03

    Get mouthfeel contribution

    Estimates how much the produced glycerol will contribute to the perceived body and viscosity of the wine

  4. 04

    Get sweetness perception

    Predicts the perceived sweetness sensation resulting from the glycerol and remaining sugars

One connector, every AI

Wine Glycerol Production 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.

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

You don't need a client to put Wine Glycerol Production 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 Glycerol Production Model, so you can see the experience inside your AI.

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

Wine Glycerol Production Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_w5CpU7Jf57zXhGGOvoTIszESwT8JXvvAfHkXLGMP/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 Glycerol Production Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wine-glycerol-production-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_w5CpU7Jf57zXhGGOvoTIszESwT8JXvvAfHkXLGMP/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 Glycerol Production Model

See all the AI clients this connector works with ↑

FAQ

Questions Wine Glycerol Production Model owners ask.

  • 01

    How does this model account for osmotic stress?

    The model uses the get_expected_glycerol_concentration capability to adjust predicted yields based on initial sugar levels, simulating how yeast increases glycerol to balance osmotic pressure.

  • 02

    Can I predict the mouthfeel of my wine?

    Yes, by using get_mouthfeel_contribution, you can estimate how the predicted glycerol concentration will influence the perceived body and viscosity of the wine.

  • 03

    How does nitrogen deficiency affect the results?

    Nitrogen levels are a key input. You can use simulate_stress_impact to see how low nitrogen availability increases glycerol yield as a physiological stress response.