Use Olive Oil Extraction Yield with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predict olive oil yield, extraction loss, and chemical quality risks based on fruit characteristics and malaxing conditions.
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.
Complete set · 3 capabilities
The complete Olive Oil Extraction Yield capability set.
These are the exact actions your AI can choose when you ask it to work with Olive Oil Extraction Yield.
01-03
3 capabilities in this set.
Part of 3 available through Olive Oil Extraction Yield.
- 01
Predict quality risk
- 02
Predict yield and loss
- 03
Optimize malaxing params
Observed, not estimated
805ms average. Fast in production.
Olive Oil Extraction Yield is checked daily against the live service.
- Fastest day
- 736ms
- Slowest day
- 963ms
- 14-day trend
- Improving-8%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Olive Oil Extraction Yield, so you can see the experience inside your AI.
It does not authenticate your account with Olive Oil Extraction Yield. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Olive Oil Extraction Yield Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_YwpLg5l2rOC4XgW1lK7xrrpOfjAuy1XSnSKKk3Jb/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 — Olive Oil Extraction Yield capabilities are ready to use.
{
"mcpServers": {
"olive-oil-extraction-yield-quality-predictor-mcp": {
"url": "https://edge.vinkius.com/vk_preview_YwpLg5l2rOC4XgW1lK7xrrpOfjAuy1XSnSKKk3Jb/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 Olive Oil Extraction Yield owners ask.
- 01
How accurate are the yield predictions?
The predictions are based on mathematical models of fruit variety, moisture, and extraction method. Using predict_yield_and_loss provides a calculated estimate of kilograms of oil per tonne of fruit.
- 02
Can I optimize for high quality instead of high yield?
Yes. By using optimize_malaxing_params and setting the target quality to 'MAX_QUALITY', the capability will recommend lower temperatures and shorter durations to minimize acidity and oxidation.
- 03
What quality indicators are monitored?
The server monitors Free Fatty Acids (FFA) and Peroxide Value risk through the predict_quality_risk capability to help prevent oil degradation.
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