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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Wine Oxygen Modeler with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predictive modeling for oxygen ingress through screw cap liners to assess wine stability.

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 Oxygen Modeler capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wine Oxygen Modeler.

  1. 01

    Assess reductive risk

    Evaluates if the wine is at risk of developing reductive off-odors due to lack of oxygen

  2. 02

    Calculate ingress rate

    Determines how much oxygen is entering the bottle per unit of time

  3. 03

    Predict evolution timeline

    Projects the change in dissolved oxygen over a specific duration

  4. 04

    Simulate storage impact

    A high-level capability to combine all factors to determine the end-state of a bottle after a period of storage

One connector, every AI

Wine Oxygen Modeler 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 Oxygen Modeler 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 Oxygen Modeler, so you can see the experience inside your AI.

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

Wine Oxygen Modeler Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_pmLwTW1gqJuU0AjgdQii5q5zbJGaUFNoKhRgsblo/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 Oxygen Modeler capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wine-oxygen-ingress-modeler-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_pmLwTW1gqJuU0AjgdQii5q5zbJGaUFNoKhRgsblo/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 Oxygen Modeler

See all the AI clients this connector works with ↑

FAQ

Questions Wine Oxygen Modeler owners ask.

  • 01

    How accurate are the oxygen ingress predictions?

    Predictions are based on physical permeation models using the provided OTR specification and storage temperature. For precise results, ensure the otrSpecification matches the specific liner material used.

  • 02

    Can I model different liner materials?

    Yes, you can use calculate_ingress_rate or simulate_storage_impact with standard liner types such as Saranex, tin/Saran, or STELVIN.

  • 03

    What is the purpose of the reductive risk assessment?

    The assess_reductive_risk capability helps identify if a wine might develop sulfur-based off-odors due to insufficient oxygen ingress relative to its reductive capacity.

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