Use Barley Malt Predictor with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predict malt quality parameters and brewing suitability from barley characteristics.
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 Barley Malt Predictor capability set.
These are the exact actions your AI can choose when you ask it to work with Barley Malt Predictor.
01-04
4 capabilities in this set.
Part of 4 available through Barley Malt Predictor.
- 01
Compare varieties
Compares the predicted quality of a specific grain batch against the theoretical maximums of different barley varieties
- 02
Evaluate brewing suitability
Determines the overall brewing quality score and the likelihood of the malt being accepted by a brewer
- 03
Analyze kernel uniformity
Analyzes the kernel size distribution to determine if the batch is suitable for consistent malting
- 04
Predict malt properties
Predicts the primary chemical and physical malt properties based on raw barley characteristics
Observed, not estimated
812ms average. Fast in production.
Barley Malt Predictor is checked daily against the live service.
- Fastest day
- 684ms
- Slowest day
- 961ms
- 14-day trend
- Improving-7%
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 Barley Malt Predictor, so you can see the experience inside your AI.
It does not authenticate your account with Barley Malt Predictor. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Barley Malt Predictor Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_EYwCzicit4ddyGK00DxYtG8vf2sOQYzZb5HSUiyw/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 — Barley Malt Predictor capabilities are ready to use.
{
"mcpServers": {
"barley-malt-quality-predictor-mcp": {
"url": "https://edge.vinkius.com/vk_preview_EYwCzicit4ddyGK00DxYtG8vf2sOQYzZb5HSUiyw/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 Barley Malt Predictor owners ask.
- 01
How do I predict the malt properties?
You can use the predict_malt_properties capability by providing the protein content, kernel size distribution, beta-glucan content, kernel plumpness, and the variety malting grade.
- 02
Can I check if the malt is suitable for brewing?
Yes, after obtaining the malt properties, use the evaluate_brewing_suitability capability to determine the brewing quality score and acceptance probability.
- 03
How is kernel uniformity assessed?
The analyze_kernel_uniformity capability analyzes the frequency distribution of grain sizes to calculate a uniformity coefficient and identify malting risks.
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