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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Canola Quality Predictor with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict canola oil grade, refining losses, and meal quality from seed characteristics.

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 Canola Quality Predictor capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Canola Quality Predictor.

  1. 01

    Estimate refining impact

    Predicts the amount of oil lost during processing and the resulting oil quality

  2. 02

    Calculate meal quality

    Estimates the nutritional and industrial value of the byproduct (meal)

  3. 03

    Evaluate crush margin

    Provides a financial assessment of the processing profitability

  4. 04

    Predict oil grade

    Determines the commercial grade of the canola seed based on chemical and physical purity

Observed, not estimated

850ms average. Fast in production.

Canola Quality Predictor is checked daily against the live service.

Daily averagePeak 951ms
Aug 29Today
Fastest day
744ms
Slowest day
951ms
14-day trend
Improving-6%

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

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

Canola Quality Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_bcGmMr6hWxYQbzpuCAdo0bbW9yGJYLyI5dJI4XCA/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 — Canola Quality Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "canola-oil-quality-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_bcGmMr6hWxYQbzpuCAdo0bbW9yGJYLyI5dJI4XCA/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

FAQ

Questions Canola Quality Predictor owners ask.

  • 01

    How is the oil grade determined?

    The predict_oil_grade capability determines the grade by analyzing chlorophyll levels, glucosinolate concentration, and erucic acid percentage.

  • 02

    Can I calculate the profitability of a crush?

    Yes, use the evaluate_crush_margin capability to calculate the economic margin based on oil grade, refining losses, and current market prices.

  • 03

    What factors influence refining loss?

    Refining loss is primarily driven by Free Fatty Acid (FFA) levels and chlorophyll content, which can be analyzed using estimate_refining_impact.

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