Use Papaya Predictor with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predict papaya harvest windows and post-harvest ripening trajectories.
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 Papaya Predictor capability set.
These are the exact actions your AI can choose when you ask it to work with Papaya Predictor.
01-03
3 capabilities in this set.
Part of 3 available through Papaya Predictor.
- 01
Calculate shelf life
Estimates the remaining marketable life of the fruit after harvest
- 02
Estimate ripening timeline
Predicts how many days it will take for the fruit to reach full ripeness
- 03
Predict harvest window
Determines the optimal date to harvest fruit based on intended market destination
Observed, not estimated
739ms average. Fast in production.
Papaya Predictor is checked daily against the live service.
- Fastest day
- 666ms
- Slowest day
- 929ms
- 14-day trend
- Stable+2%
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 Papaya Predictor, so you can see the experience inside your AI.
It does not authenticate your account with Papaya Predictor. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Papaya Predictor Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_M5zCEHGSha3UbykfPdM3DzoAvXLxdeOt2MnTYngZ/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 — Papaya Predictor capabilities are ready to use.
{
"mcpServers": {
"papaya-harvest-ripening-predictor-mcp": {
"url": "https://edge.vinkius.com/vk_preview_M5zCEHGSha3UbykfPdM3DzoAvXLxdeOt2MnTYngZ/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 Papaya Predictor owners ask.
- 01
How does the harvest prediction work?
The predict_harvest_window capability calculates the optimal harvest date by analyzing biological age (days from anthesis), accumulated heat units (GDD), and fruit diameter, adjusted for the target market.
- 02
Can I predict ripening for different temperatures?
Yes, use estimate_ripening_timeline to predict how ambient temperature affects the speed of the climacteric ripening process.
- 03
How is shelf life calculated?
The calculate_shelf_life capability estimates remaining marketable days by considering the maturity at harvest, storage temperature, and any transport duration.
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