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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.

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
V8 Isolate01

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.

Kill Switch02

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.

FinOps per User03

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.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Cherry Risk Analytics.

  1. 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.

  2. 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.

  3. 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

01

Storm Preparation

When a heavy rain event is forecasted, use the AI to decide if you need to deploy covers immediately.

02

Financial Planning

Estimate how much money a specific weather event might cost you based on your current harvest weight and price.

03

Risk Assessment

Check the likelihood of cracking during a specific humidity and rainfall window.

04

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.

Building 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.

Daily averagePeak 1044ms
Oct 3Today
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.

Connector linkhttps://edge.vinkius.com/vk_preview_ukjpeXUtsQJ1qHzoEOKIPqg9em74Cl0osf2hICUd/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Cherry Risk Analytics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "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

See all the AI clients this connector works with ↑

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.

Connect Cherry Risk Analytics to Claude, Cursor, ChatGPT & more