Use Vineyard Yield Estimator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predict grape yields and harvest timelines using phenological models.
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 Vineyard Yield Estimator capability set.
These are the exact actions your AI can choose when you ask it to work with Vineyard Yield Estimator.
01-03
3 capabilities in this set.
Part of 3 available through Vineyard Yield Estimator.
- 01
Calculate yield metrics
Calculate expected grape yield metrics per hectare
- 02
Predict harvest date
Predict the estimated harvest date based on phenological stages
- 03
Get vineyard health summary
Get a summary of vineyard health and productivity
Observed, not estimated
764ms average. Fast in production.
Vineyard Yield Estimator is checked daily against the live service.
- Fastest day
- 677ms
- Slowest day
- 940ms
- 14-day trend
- Stable-4%
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 Vineyard Yield Estimator, so you can see the experience inside your AI.
It does not authenticate your account with Vineyard Yield Estimator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Vineyard Yield Estimator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_HS1tvsfZFX4zRV7Mcfx3OgaytuY5iReTd5YNGRgC/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 — Vineyard Yield Estimator capabilities are ready to use.
{
"mcpServers": {
"vineyard-yield-estimator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_HS1tvsfZFX4zRV7Mcfx3OgaytuY5iReTd5YNGRgC/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 Vineyard Yield Estimator owners ask.
- 01
How does the capability calculate yield?
The calculate_yield_metrics capability uses vine density, bud count, fruitfulness, and berry weight to determine the total expected mass per hectare.
- 02
Can I predict the harvest date?
Yes, by using predict_harvest_date, you can estimate the days remaining until harvest based on the current Baggiolini stage and temperature.
- 03
What pruning methods are supported?
The system supports SPUR, CANE, and MECHANICAL pruning methods to adjust yield expectations.
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