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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Alfalfa Yield Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict alfalfa yield and nutritional quality metrics from cutting schedules.

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 Alfalfa Yield Model capability set.

These are the exact actions your AI can choose when you ask it to work with Alfalfa Yield Model.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Alfalfa Yield Model.

  1. 01

    Evaluate stand persistence

    Assesses the long-term health and survival probability of the alfalfa stand

  2. 02

    Get quality profile

    Provides a comparative overview of how quality metrics change over a range of possible cutting intervals

  3. 03

    Optimize cutting schedule

    Recommends the ideal cutting interval to balance yield and quality

  4. 04

    Predict harvest metrics

    Predicts the specific yield and nutritional quality of a single upcoming harvest

Observed, not estimated

863ms average. Fast in production.

Alfalfa Yield Model is checked daily against the live service.

Daily averagePeak 946ms
Aug 26Today
Fastest day
743ms
Slowest day
946ms
14-day trend
Slowing+18%

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 Alfalfa Yield Model, so you can see the experience inside your AI.

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

Alfalfa Yield Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_QZYYq3VqGmOfn9OdAFY3tqD8RrGSy253UTVAHB3Z/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 — Alfalfa Yield Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "alfalfa-yield-quality-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_QZYYq3VqGmOfn9OdAFY3tqD8RrGSy253UTVAHB3Z/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 Alfalfa Yield Model owners ask.

  • 01

    How does the capability account for weather?

    The predict_harvest_metrics capability accepts weather conditions as input to adjust biological maturity and growth rates based on temperature and precipitation.

  • 02

    Can I optimize for specific livestock needs?

    Yes, optimize_cutting_schedule allows you to set a target RFV (Relative Feed Value) to ensure the forage meets the specific nutritional requirements of your livestock.

  • 03

    What is stand persistence?

    Stand persistence refers to the ability of the alfalfa to survive over multiple seasons. You can use evaluate_stand_persistence to check if your cutting frequency is depleting carbohydrate root reserves.

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