Use Wine Price & Quality Correlation with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Analyze wine value using hedonic pricing models.
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 Price & Quality Correlation capability set.
These are the exact actions your AI can choose when you ask it to work with Wine Price & Quality Correlation.
01-04
4 capabilities in this set.
Part of 4 available through Wine Price & Quality Correlation.
- 01
Analyze market positioning
Provides strategic advice on how to price or market a wine within a specific segment
- 02
Get competitive benchmark
Retrieves the average pricing and quality benchmarks for a defined competitive set
- 03
Calculate value score
Determines if a specific wine offers good value relative to its quality and fair price
- 04
Get fair price valuation
Calculates the estimated fair price of a wine based on intrinsic and extrinsic attributes
One connector, every AI
Wine Price & Quality Correlation 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 Price & Quality Correlation 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 Price & Quality Correlation, so you can see the experience inside your AI.
It does not authenticate your account with Wine Price & Quality Correlation. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Wine Price & Quality Correlation Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_mn1jAE0CdmzUcJdHkVLn8OuhoJclWw4MKGov3ndz/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 Price & Quality Correlation capabilities are ready to use.
{
"mcpServers": {
"wine-price-quality-correlation-mcp": {
"url": "https://edge.vinkius.com/vk_preview_mn1jAE0CdmzUcJdHkVLn8OuhoJclWw4MKGov3ndz/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 Price & Quality Correlation
FAQ
Questions Wine Price & Quality Correlation owners ask.
- 01
How is the fair price calculated?
The fair price is calculated using the get_fair_price_valuation capability, which scales a quality score against market constants and applies multipliers for brand and regional prestige.
- 02
Can I compare a wine against its competitors?
Yes, you can use get_competitive_benchmark to retrieve average pricing and quality metrics for a specific competitive set.
- 03
What is a value score?
A value score is a comparison between the actual retail price and the calculated fair price, determined via calculate_value_score.
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