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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Wine Mouthfeel Predictor with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predicts sensory mouthfeel attributes of wine based on chemical composition.

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 Mouthfeel Predictor capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wine Mouthfeel Predictor.

  1. 01

    Calculate texture score

    Provides a single holistic metric for the wine's mouthfeel quality

  2. 02

    Predict astringency

    Determines the specific quality of the drying sensation (astringency) in the wine

  3. 03

    Predict balance

    Evaluates the structural equilibrium between acidity and other components

  4. 04

    Predict body

    Determines the perceived weight or thickness of the wine on the palate

One connector, every AI

Wine Mouthfeel 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.

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 Mouthfeel 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 Mouthfeel Predictor, so you can see the experience inside your AI.

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

Wine Mouthfeel Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_TFzw7Ow8aXZdY6nagWyXfSK7Itulz6fnMqYtvobC/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 Mouthfeel Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wine-mouthfeel-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_TFzw7Ow8aXZdY6nagWyXfSK7Itulz6fnMqYtvobC/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 Mouthfeel Predictor

See all the AI clients this connector works with ↑

FAQ

Questions Wine Mouthfeel Predictor owners ask.

  • 01

    What chemical inputs are required?

    To use predict_body, you must provide ethanol and glycerol levels. For predict_balance, pH and titratable acidity are required.

  • 02

    How is the texture score calculated?

    The calculate_texture_score capability aggregates the results from astringency, body, and balance predictions to produce a single harmony metric.

  • 03

    Can I predict the specific type of astringency?

    Yes, the predict_astringency capability identifies if the sensation is dry, velvety, or coarse based on tannin and polysaccharide levels.

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