ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Wine Thermal Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Models temperature gradients and predicts hot spots in fermentation tanks.

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 Thermal Model capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wine Thermal Model.

  1. 01

    Calculate mixing needs

    Determines if and when manual intervention is required to prevent thermal issues

  2. 02

    Evaluate cooling efficiency

    Assesses how well the current cooling setup can handle the current fermentation load

  3. 03

    Get temperature profile

    Analyzes the vertical temperature distribution within a specific tank

  4. 04

    Predict hot spots

    Identifies specific zones within a tank where heat accumulation is likely to exceed safety thresholds

One connector, every AI

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

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

Wine Thermal Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_8Jdka6sekXyrcgfbfAq8x16KjZvSC4FojQupSh2i/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 Thermal Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wine-temperature-stratification-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_8Jdka6sekXyrcgfbfAq8x16KjZvSC4FojQupSh2i/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 Thermal Model

See all the AI clients this connector works with ↑

FAQ

Questions Wine Thermal Model owners ask.

  • 01

    How can I identify if my tank has thermal stratification?

    You can use the get_temperature_profile capability to analyze the vertical temperature distribution and check for significant gradients.

  • 02

    When should I perform a pump-over?

    The calculate_mixing_needs capability will recommend a pump-over if the temperature gradient or cap temperature exceeds the target range.

  • 03

    Can this model predict heat accumulation?

    Yes, the predict_hot_spots capability identifies specific depth ranges where heat accumulation is likely to exceed safety thresholds.