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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Wine Reductive Modeling with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predictive modeling for reductive sulfur compound formation in wine.

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 Reductive Modeling capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wine Reductive Modeling.

  1. 01

    Calculate remediation window

    Provides actionable timing for corrective cellar operations

  2. 02

    Get autolysis impact

    Estimates the contribution of yeast cell breakdown to the total sulfur precursor pool

  3. 03

    Get sulfur prediction

    Predicts the concentration of specific reductive compounds based on current wine conditions

  4. 04

    Assess sensory risk

    Determines if the predicted sulfur concentrations will exceed human detection limits

One connector, every AI

Wine Reductive Modeling 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 Reductive Modeling 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 Reductive Modeling, so you can see the experience inside your AI.

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

Wine Reductive Modeling Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_EtHMTOz40iyW6oQOki0hnIUaeQ0FaRWa3NTulSjx/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 Reductive Modeling capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wine-reductive-compound-formation-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_EtHMTOz40iyW6oQOki0hnIUaeQ0FaRWa3NTulSjx/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 Reductive Modeling

See all the AI clients this connector works with ↑

FAQ

Questions Wine Reductive Modeling owners ask.

  • 01

    How do I predict sulfur levels in my wine?

    You can use the get_sulfur_prediction capability by providing the yeast lees contact time, ORP, copper residue level, and nutrient status score.

  • 02

    Can this capability help with cellar management?

    Yes, by using calculate_remediation_window, you can receive actionable timing for corrective cellar operations based on predicted risks.

  • 03

    What factors influence the sulfur prediction?

    The prediction accounts for yeast lees contact time, oxidation-reduction potential, copper residues, and nutrient status, including the impact of autolysis.

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