
Connect Cherry Cracking Risk Predictor to ChatGPT and Claude
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Protect your harvest by predicting fruit damage before it happens.
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.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 3 capabilities
We ship only the actions that matter.
01-03
3 capabilities in this set.
Part of 3 available through Cherry Risk Analytics.
- 01
Estimate economic loss
This capability calculates potential money lost from fruit damage. It converts predicted cracking percentages into a dollar amount based on your harvest size and pricing.
- 02
Predict cracking risk
This capability assesses the likelihood of fruit cracking. It looks at rainfall intensity, duration, and the current state of the fruit to determine damage risk.
- 03
Calculate protective timing
This capability finds the best time to put up protective covers. It uses your current risk level and upcoming rain forecasts to tell you when to act.
Real work
What teams actually run
Storm Preparation
When a heavy rain event is forecasted, use the AI to decide if you need to deploy covers immediately.
Financial Planning
Estimate how much money a specific weather event might cost you based on your current harvest weight and price.
Risk Assessment
Check the likelihood of cracking during a specific humidity and rainfall window.
Labor Management
Determine exactly when workers should start setting up covers to ensure they are ready before rain starts.
One connector, every AI
Cherry Risk Analytics works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Cherry Risk Analytics to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
840ms average. Fast in production.
Cherry Risk Analytics is checked daily against the live service.
- Fastest day
- 671ms
- Slowest day
- 1044ms
- 14-day trend
- Slowing+12%
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
Guided setup for Claude? Set up Cherry Risk Analytics in Claude and other AIs
Who it's for
Built for the work Cherry Risk Analytics owners hand off.
This MCP is built for commercial cherry growers and orchard managers who need to make fast decisions during weather events.
- 01
Orchard Manager
Uses the AI to schedule labor for deploying protective covers.
- 02
Farm Owner
Uses the AI to project seasonal economic losses from weather damage.
- 03
Agricultural Analyst
Uses the AI to model the relationship between rainfall and fruit integrity.
FAQ
Questions Cherry Risk Analytics owners ask.
- 01
How does this MCP predict cherry cracking?
It models how water is absorbed through the fruit surface and stomata based on rainfall intensity and duration.
- 02
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.
- 03
What data do I need to provide for a risk assessment?
You should provide rainfall intensity, rainfall duration, humidity levels, and the current maturity or susceptibility of the fruit.
- 04
How does it help with economic loss?
It takes your predicted cracking percentage and multiplies it by your harvest weight and price per kg to give you a dollar estimate.
- 05
Does this MCP require me to host anything?
No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.
- 06
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.
- 07
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.
- 08
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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Connect Cherry Risk Analytics to Claude, Cursor, ChatGPT & more
