ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Safflower Yield Predictor with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predicts safflower petal and seed yields and optimizes harvest timing.

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 Safflower Yield Predictor capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Safflower Yield Predictor.

  1. 01

    Calculate yield metrics

    Calculates the raw physical yields for both petals and seeds based on plant individual metrics and field density

  2. 02

    Estimate oil content

    Predicts the oil percentage within the seeds based on the specific variety

  3. 03

    Optimize harvest window

    Identifies the ideal time to harvest to balance petal color quality against seed maturity

  4. 04

    Calculate economic value

    Determines the total monetary value of the crop per hectare

Observed, not estimated

775ms average. Fast in production.

Safflower Yield Predictor is checked daily against the live service.

Daily averagePeak 1286ms
Aug 26Today
Fastest day
680ms
Slowest day
1286ms
14-day trend
Improving-36%

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 Safflower Yield Predictor, so you can see the experience inside your AI.

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

Safflower Yield Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_VlL4gjP2B441LeimCGBFd3nIjDQnGn5yCN4BWqxH/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 — Safflower Yield Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "safflower-yield-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_VlL4gjP2B441LeimCGBFd3nIjDQnGn5yCN4BWqxH/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 Safflower Yield Predictor owners ask.

  • 01

    How do I calculate the total yield?

    Use the calculate_yield_metrics capability by providing plant population, branching index, flowers per plant, petal weight, and seed yield per plant.

  • 02

    Can I optimize my harvest date?

    Yes, the optimize_harvest_window capability identifies the ideal time to harvest by balancing petal color quality against seed maturity.

  • 03

    How is the economic value determined?

    The calculate_economic_value capability sums the revenue from both petal yield and seed yield based on current market prices.