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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Rice Drying Cost with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate drying costs, energy use, and optimize temperature for rice quality.

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 Drying Cost capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Rice Drying Cost.

  1. 01

    Compare drying methods

    Compares the cost and yield outcomes of different drying methods for the same grain batch

  2. 02

    Get drying cost estimate

    Provides a comprehensive estimate of the costs associated with a specific drying operation

  3. 03

    Validate moisture parameters

    Checks if a proposed drying plan is physically and commercially viable

  4. 04

    Optimize drying temperature

    Finds the ideal drying temperature that balances the cost of energy against the value lost from reduced head rice yield

Observed, not estimated

832ms average. Fast in production.

Rice Drying Cost is checked daily against the live service.

Daily averagePeak 927ms
Aug 27Today
Fastest day
718ms
Slowest day
927ms
14-day trend
Slowing+8%

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 Drying Cost, so you can see the experience inside your AI.

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

Rice Drying Cost Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_wYQjJIC8gFnBVy3MyyxthKsaubyZdvyqaI4F6t6P/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 Drying Cost capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "rice-drying-cost-optimization-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_wYQjJIC8gFnBVy3MyyxthKsaubyZdvyqaI4F6t6P/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 Drying Cost owners ask.

  • 01

    How can I minimize my total drying costs?

    You can use optimize_drying_temperature to find the temperature that balances energy costs against the value lost from reduced head rice yield.

  • 02

    What is the difference between the drying methods?

    You can use compare_drying_methods to see the specific energy consumption and yield loss for continuousFlow, batch, and inBin methods.

  • 03

    Can I check if my drying plan is safe?

    Yes, use validate_moisture_parameters to check if your target moisture and allowable yield loss are within acceptable limits.

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