Use Lentil Yield Predictor with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predicts lentil splitting yield, breakage, and cooking performance.
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 Lentil Yield Predictor capability set.
These are the exact actions your AI can choose when you ask it to work with Lentil Yield Predictor.
01-04
4 capabilities in this set.
Part of 4 available through Lentil Yield Predictor.
- 01
Classify grade
Assigns a commercial grade to the batch based on predicted yield and quality
- 02
Estimate cooking performance
Predicts the time required for cooking and the water absorption properties
- 03
Get processing margin
Provides a financial or efficiency buffer based on the predicted loss during splitting
- 04
Predict splitting yield
Calculates the expected volume of usable dhal and the expected percentage of broken seeds
Observed, not estimated
775ms average. Fast in production.
Lentil Yield Predictor is checked daily against the live service.
- Fastest day
- 726ms
- Slowest day
- 988ms
- 14-day trend
- Stable+1%
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 Lentil Yield Predictor, so you can see the experience inside your AI.
It does not authenticate your account with Lentil Yield Predictor. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Lentil Yield Predictor Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_O1kFG2C54FR8BnfZu8T6OSgfo8X4gnLmVpvDX8mW/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 — Lentil Yield Predictor capabilities are ready to use.
{
"mcpServers": {
"lentil-splitting-yield-predictor-mcp": {
"url": "https://edge.vinkius.com/vk_preview_O1kFG2C54FR8BnfZu8T6OSgfo8X4gnLmVpvDX8mW/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 Lentil Yield Predictor owners ask.
- 01
How does harvest timing affect the results?
Harvest timing influences seed coat integrity. Using predict_splitting_yield with a 'late' harvest timing will account for increased fragility and higher breakage risk.
- 02
Can I determine the commercial grade of my batch?
Yes, by using the classify_grade capability with the yield and breakage data obtained from the prediction capabilities.
- 03
What information is needed to predict cooking time?
To use estimate_cooking_performance, you need to provide the seed size, moisture content, cooking quality rating, and the specific variety.
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