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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Grass Hay Quality Predictor with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict nutritional profiles and dairy performance from hay maturity and harvest conditions.

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 Grass Hay Quality Predictor capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Grass Hay Quality Predictor.

  1. 01

    Compare quality scenarios

    Compare two different harvest scenarios to see the impact on quality

  2. 02

    Estimate milk yield

    Determine how much milk can be produced from a specific quantity of hay

  3. 03

    Evaluate harvest risk

    Assess the risk level of a planned harvest

  4. 04

    Predict hay nutrients

    Calculate the baseline nutritional profile based on biological and environmental factors

Observed, not estimated

821ms average. Fast in production.

Grass Hay Quality Predictor is checked daily against the live service.

Daily averagePeak 1012ms
Aug 26Today
Fastest day
683ms
Slowest day
1012ms
14-day trend
Slowing+24%

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

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

Grass Hay Quality Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_qNStMXYS5nZRStbswMjDdZ7ZHC3Dsn1Obap2a3Ru/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 — Grass Hay Quality Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "grass-hay-quality-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_qNStMXYS5nZRStbswMjDdZ7ZHC3Dsn1Obap2a3Ru/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 Grass Hay Quality Predictor owners ask.

  • 01

    How accurate are the nutritional predictions?

    Predictions are based on biological maturity models and environmental impact factors like rain leaching. Use predict_hay_nutrients for the most accurate baseline estimates.

  • 02

    Can I estimate milk production from my hay?

    Yes, by using the estimate_milk_yield capability with the output from the nutrient prediction capability.

  • 03

    How does rain affect my hay quality?

    Rain can cause nutrient leaching. You can use evaluate_harvest_risk to assess how expected rainfall might impact your harvest quality.

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