Use Sunflower Oil Profiler with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predicts sunflower oil fatty acid composition and oxidative stability based on cultivar type and agronomic conditions.
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 Sunflower Oil Profiler capability set.
These are the exact actions your AI can choose when you ask it to work with Sunflower Oil Profiler.
01-04
4 capabilities in this set.
Part of 4 available through Sunflower Oil Profiler.
- 01
Compare varieties
Compares the predicted outcomes of two different cultivation strategies
- 02
Analyze temperature risk
Evaluates how sensitive a specific variety is to temperature fluctuations during seed fill
- 03
Get suitability guidelines
Provides the definition and required profile thresholds for various oil end uses
- 04
Predict composition
Calculates the predicted fatty acid percentages and stability metrics for a specific crop profile
Observed, not estimated
806ms average. Fast in production.
Sunflower Oil Profiler is checked daily against the live service.
- Fastest day
- 678ms
- Slowest day
- 1075ms
- 14-day trend
- Improving-12%
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 Sunflower Oil Profiler, so you can see the experience inside your AI.
It does not authenticate your account with Sunflower Oil Profiler. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Sunflower Oil Profiler Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_N1oxTl57o6atcu55EUtmwmV6qqzrmL2ae1TRRBea/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 — Sunflower Oil Profiler capabilities are ready to use.
{
"mcpServers": {
"sunflower-oil-fatty-acid-profiler-mcp": {
"url": "https://edge.vinkius.com/vk_preview_N1oxTl57o6atcu55EUtmwmV6qqzrmL2ae1TRRBea/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 Sunflower Oil Profiler owners ask.
- 01
How does temperature affect the oil profile?
Higher temperatures during the seed-filling stage increase desaturase enzyme activity, which shifts the composition toward more polyunsaturated fats, such as linoleic acid, potentially reducing oxidative stability.
- 02
Can I compare two different planting strategies?
Yes, you can use the compare_varieties capability to evaluate the difference in oxidative stability and determine the best suitability between two different sets of agronomic parameters.
- 03
What information is needed to predict oil composition?
To use predict_composition, you need to provide the variety type (e.g., high-oleic), the average growing temperature in Celsius, the planting date in ISO format, and the nitrogen application rate.
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