Use Aquaculture Modeling Engine with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predict fish growth, feed requirements, and harvest timelines using biological 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 Aquaculture Modeling Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Aquaculture Modeling Engine.
01-03
3 capabilities in this set.
Part of 3 available through Aquaculture Modeling Engine.
- 01
Calculate harvest schedule
Calculates the realistic harvest timeline for biomass
- 02
Evaluate environmental impact
Evaluates how water conditions limit feeding efficiency
- 03
Get growth projections
Predicts fish growth trajectories and feed requirements
Observed, not estimated
846ms average. Fast in production.
Aquaculture Modeling Engine is checked daily against the live service.
- Fastest day
- 740ms
- Slowest day
- 939ms
- 14-day trend
- Slowing+13%
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 Aquaculture Modeling Engine, so you can see the experience inside your AI.
It does not authenticate your account with Aquaculture Modeling Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Aquaculture Modeling Engine Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_1qknB9H0CkLFNmltGuW28hOigcikR1mLdLsrg40j/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 — Aquaculture Modeling Engine capabilities are ready to use.
{
"mcpServers": {
"aquaculture-feed-growth-modeling-mcp": {
"url": "https://edge.vinkius.com/vk_preview_1qknB9H0CkLFNmltGuW28hOigcikR1mLdLsrg40j/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 Aquaculture Modeling Engine owners ask.
- 01
How does temperature affect the growth predictions?
The model uses the Thermal Growth Coefficient (TGC) to adjust growth rates based on water temperature, as metabolic rates in fish are temperature-dependent.
- 02
Can I predict when my fish will be ready for harvest?
Yes, by using the calculate_harvest_schedule capability, you can determine the estimated days until harvest based on current weight, target weight, and environmental conditions.
- 03
How does dissolved oxygen impact the results?
Low dissolved oxygen levels act as a physiological constraint. You can use evaluate_environmental_impact to see how oxygen levels reduce metabolic efficiency and growth.
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