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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Wine Loss Tracking System with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Monitor wine production efficiency by tracking volume losses across all stages.

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 Loss Tracking System capability set.

These are the exact actions your AI can choose when you ask it to work with Wine Loss Tracking System.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Wine Loss Tracking System.

  1. 01

    Calculate cumulative metrics

    Calculate total loss percentage and final yield for a batch

  2. 02

    Get loss by operation

    Calculate volume lost during a specific production step

  3. 03

    Identify high loss operations

    Identify specific steps where losses exceed acceptable thresholds

  4. 04

    Validate mass balance

    Validate if the recorded data satisfies the mass balance principle

One connector, every AI

Wine Loss Tracking System 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 Loss Tracking System 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 Loss Tracking System, so you can see the experience inside your AI.

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

Wine Loss Tracking System Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_fgyVSnwTLbYs1oAJa3efwDdmu0pnL06gvvBsOUdD/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 Loss Tracking System capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "wine-loss-tracking-system-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_fgyVSnwTLbYs1oAJa3efwDdmu0pnL06gvvBsOUdD/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 Loss Tracking System

See all the AI clients this connector works with ↑

FAQ

Questions Wine Loss Tracking System owners ask.

  • 01

    How do I check if my production data is accurate?

    You can use the validate_mass_balance capability to verify that your starting volume, recorded losses, and final volume align with the mass balance principle.

  • 02

    Can I identify which specific step is causing the most waste?

    Yes, the identify_high_loss_operations capability compares your recorded losses against predefined thresholds to flag excessive losses in specific steps.

  • 03

    What metrics can I calculate for a batch?

    The calculate_cumulative_metrics capability provides the total lost volume, the cumulative loss percentage, and the final yield percentage for your production batch.

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