Use Cherry Risk Analytics with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predict sweet cherry cracking risk from rainfall events and environmental 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 Cherry Risk Analytics capability set.
These are the exact actions your AI can choose when you ask it to work with Cherry Risk Analytics.
01-03
3 capabilities in this set.
Part of 3 available through Cherry Risk Analytics.
- 01
Calculate protective timing
Determines the optimal window to deploy protective covers to prevent damage
- 02
Estimate economic loss
Converts predicted cracking into a monetary loss projection for the grower
- 03
Predict cracking risk
Calculates the likelihood and extent of fruit cracking based on a specific weather event and fruit state
Observed, not estimated
779ms average. Fast in production.
Cherry Risk Analytics is checked daily against the live service.
- Fastest day
- 644ms
- Slowest day
- 997ms
- 14-day trend
- Slowing+20%
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 Cherry Risk Analytics, so you can see the experience inside your AI.
It does not authenticate your account with Cherry Risk Analytics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Cherry Risk Analytics Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_ukjpeXUtsQJ1qHzoEOKIPqg9em74Cl0osf2hICUd/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 — Cherry Risk Analytics capabilities are ready to use.
{
"mcpServers": {
"cherry-cracking-risk-predictor-mcp": {
"url": "https://edge.vinkius.com/vk_preview_ukjpeXUtsQJ1qHzoEOKIPqg9em74Cl0osf2hICUd/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 Cherry Risk Analytics owners ask.
- 01
How accurate are the cracking predictions?
Predictions are based on biological models of water absorption and cuticle elasticity. For the most accurate results, ensure you provide precise rainfall intensity and the correct maturity stage.
- 02
Can I estimate my potential financial loss?
Yes, you can use the estimate_economic_loss capability to convert the predicted cracking percentage into a monetary value based on your expected yield and current market prices.
- 03
How do I know when to put up protective nets?
The calculate_protective_timing capability analyzes the predicted risk and your deployment lead time to recommend the exact moment covers should be in place.
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