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Connect Wine Tartrate Stability Model to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Predict crystal formation and plan stabilization treatments.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wine Stability Model.

  1. 01

    Analyze stability risk

    This capability calculates fundamental saturation metrics and determines the specific risk level for your wine sample.

  2. 02

    Calculate cold stabilization

    Use this capability to find the exact temperature needed to trigger controlled precipitation for stabilization.

  3. 03

    Predict precipitation impact

    This capability evaluates the probability of crystals depositing on bottles or consumer glassware.

  4. 04

    Recommend stabilization

    This capability selects the best chemical or physical method to stabilize your wine based on the calculated risk.

Real work

What teams actually run

01

Pre-bottling Risk Assessment

Check if a wine is stable enough to bottle without crystal issues.

02

Cold Stabilization Planning

Determine the exact temperature needed to induce precipitation safely.

03

Alternative Treatment Selection

Find chemical stabilization methods when cold stabilization isn't an option.

04

Storage Stability Prediction

Model how a wine will behave at specific storage temperatures.

One connector, every AI

Wine Stability 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.

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 Stability 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.

Observed, not estimated

873ms average. Fast in production.

Wine Stability Model is checked daily against the live service.

Daily averagePeak 1001ms
Oct 3Today
Fastest day
666ms
Slowest day
1001ms
14-day trend
Slowing+11%

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

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

Wine Stability Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_swDJYEJUMEK2yCTnKktxb2Ej1nWRmeVNrAO8xo9r/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 Stability Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wine-tartrate-stability-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_swDJYEJUMEK2yCTnKktxb2Ej1nWRmeVNrAO8xo9r/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? Set up Wine Stability Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Wine Stability Model owners hand off.

This MCP is built for professionals managing wine chemistry and quality control.

  • 01

    Winemakers

    They hand off chemical data to the AI to decide on stabilization needs.

  • 02

    Enologists

    They use the capability to model solubility and predict crystal formation risks.

  • 03

    Quality Control Technicians

    They use the output to verify if wines are stable enough for bottling.

FAQ

Questions Wine Stability Model owners ask.

  • 01

    What parameters does the stability model need?

    You need to provide ion concentrations, pH, alcohol content, and temperature.

  • 02

    Can this MCP help with cold stabilization?

    Yes, it calculates the specific temperature required to induce controlled precipitation.

  • 03

    What if I can't use cold stabilization?

    The capability can recommend alternative chemical or physical methods based on the saturation index.

  • 04

    How does it predict crystal formation?

    It uses a solubility product approach to calculate the saturation index and precipitation potential.

  • 05

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 06

    What is the saturation index?

    The saturation index is a value indicating the degree of supersaturation. A value greater than 1 indicates the wine is at risk of potassium bitartrate precipitation.

  • 07

    How can I find the required cooling temperature?

    You can use the calculate_cold_stabilization_requirement capability to determine the specific temperature needed to induce controlled precipitation.

  • 08

    What stabilization methods are recommended?

    Based on the risk level, the server may recommend Cold Stabilization, Metatartaric Acid, or Carboxymethyl Cellulose (CMC) via the recommend_stabilization_treatment capability.

Explore

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