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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Rice Milling Predictor with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predicts rice milling quality and economic output from kernel traits.

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 Rice Milling Predictor capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Rice Milling Predictor.

  1. 01

    Assess fissuring risk

    Evaluates the likelihood of grain breakage due to moisture-related structural failure

  2. 02

    Calculate economic value

    Determines the monetary value of the milled rice based on its quality grades

  3. 03

    Get variety reference

    Retrieves the standard milling potential coefficient for a specific rice variety

  4. 04

    Predict yield metrics

    Calculates the primary physical yield outcomes for a given sample of rice

Observed, not estimated

803ms average. Fast in production.

Rice Milling Predictor is checked daily against the live service.

Daily averagePeak 1000ms
Aug 26Today
Fastest day
722ms
Slowest day
1000ms
14-day trend
Slowing+10%

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

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

Rice Milling Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_UbM9I1DstivGiWgqQAVhdQ3m80jnOWmfQaqkz6MI/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 — Rice Milling Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "rice-milling-yield-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_UbM9I1DstivGiWgqQAVhdQ3m80jnOWmfQaqkz6MI/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 Rice Milling Predictor owners ask.

  • 01

    What data is required for yield prediction?

    You need to provide kernel length, width, thickness, chalkiness percentage, moisture content, and the variety's milling potential.

  • 02

    How is the economic value determined?

    The value is calculated using calculate_economic_value based on the head rice yield, broken kernel percentage, and the selected market price grade.

  • 03

    Can I check the risk of grain breakage?

    Yes, use the assess_fissuring_risk capability to evaluate the likelihood of breakage based on moisture and chalkiness.

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