Use Wine Variation Predictor with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predicts bottle-to-bottle variation and quality windows using stochastic oxygen ingress modeling.
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.
Complete set · 4 capabilities
The complete Wine Variation Predictor capability set.
These are the exact actions your AI can choose when you ask it to work with Wine Variation Predictor.
01-04
4 capabilities in this set.
Part of 4 available through Wine Variation Predictor.
- 01
Calculate quality outliers
Determines the percentage of bottles in a batch that are expected to fall outside the acceptable quality limits at a given time
- 02
Get optimal drinking window
Identifies the time range during which the most bottles are expected to be in their peak quality state
- 03
Predict variation at age
Calculates the expected range of oxygen exposure and quality deviation for a group of bottles at a specific point in time
- 04
Simulate storage impact
Compares how different storage orientations affect the rate of variation for a specific closure type
One connector, every AI
Wine Variation Predictor 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Wine Variation Predictor 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 Variation Predictor, so you can see the experience inside your AI.
It does not authenticate your account with Wine Variation Predictor. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Wine Variation Predictor Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_nOxEfZ0PPXcaKiST2lwtDqQu2TLxPOOKn14dWLWC/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Wine Variation Predictor capabilities are ready to use.
{
"mcpServers": {
"wine-bottle-variation-predictor-mcp": {
"url": "https://edge.vinkius.com/vk_preview_nOxEfZ0PPXcaKiST2lwtDqQu2TLxPOOKn14dWLWC/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 Variation Predictor
FAQ
Questions Wine Variation Predictor owners ask.
- 01
How does storage position affect the prediction?
Storage position (horizontal vs vertical) changes the contact surface area between the liquid and the closure, which directly influences the oxygen ingress rate modeled by the capabilities.
- 02
Can I use this to find the best time to drink a specific vintage?
Yes, by using get_optimal_drinking_window, you can identify the specific age range where the majority of bottles are predicted to be in their peak quality state.
- 03
What is the purpose of the calculate_quality_outliers capability?
The calculate_quality_outliers capability determines the percentage of bottles in a batch expected to fall outside acceptable oxygen exposure limits at a given age.
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