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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Pecan Quality Predictor with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict pecan kernel quality, USDA grades, and yield impacts from water stress.

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 · 3 capabilities

The complete Pecan Quality Predictor capability set.

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

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Pecan Quality Predictor.

  1. 01

    Determine grade and price

    Assigns a USDA grade and an expected market price based on quality indicators

  2. 02

    Get kernel metrics

    Calculates the primary physical yield metrics from raw nut data

  3. 03

    Simulate yield impact

    Predicts how environmental water stress during the growth cycle will impact final kernel fill and yield

Observed, not estimated

727ms average. Fast in production.

Pecan Quality Predictor is checked daily against the live service.

Daily averagePeak 970ms
Aug 26Today
Fastest day
646ms
Slowest day
970ms
14-day trend
Slowing+9%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Pecan Quality Predictor, so you can see the experience inside your AI.

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

Pecan Quality Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_7ba0zGGj6njshIe76wcDxt0rynECGQOl6UCn1vlu/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 — Pecan Quality Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pecan-quality-yield-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7ba0zGGj6njshIe76wcDxt0rynECGQOl6UCn1vlu/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 Pecan Quality Predictor owners ask.

  • 01

    How do I calculate the expected meat yield?

    You can use the get_kernel_metrics capability by providing the nut count per pound, the kernel percentage, and the kernel fill percentage.

  • 02

    Can I predict the impact of drought on my crop?

    Yes, the simulate_yield_impact capability allows you to input water stress levels to predict changes in kernel fill and meat yield.

  • 03

    How is the USDA grade determined?

    The determine_grade_and_price capability determines the grade by evaluating the kernel color, the meat-to-shell ratio, and the nut size (nut count per pound).

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