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.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
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.
01-04
4 capabilities in this set.
Part of 4 available through Safflower Yield Predictor.
- 01
Calculate yield metrics
Calculates the raw physical yields for both petals and seeds based on plant individual metrics and field density
- 02
Estimate oil content
Predicts the oil percentage within the seeds based on the specific variety
- 03
Optimize harvest window
Identifies the ideal time to harvest to balance petal color quality against seed maturity
- 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.
- 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.
https://edge.vinkius.com/vk_preview_VlL4gjP2B441LeimCGBFd3nIjDQnGn5yCN4BWqxH/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Safflower Yield Predictor capabilities are ready to use.
{
"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.
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