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Connect Aquaculture Feed Growth Modeling to your AI

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. Plan your feed, predict harvest dates, and optimize yields.

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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 Aquaculture Modeling Engine.

  1. 01

    Calculate harvest schedule

    Calculates the realistic harvest timeline for biomass

  2. 02

    Evaluate environmental impact

    Evaluates how water conditions limit feeding efficiency

  3. 03

    Get growth projections

    Predicts fish growth trajectories and feed requirements

Real work

What teams actually run

01

Optimizing Feed Purchases

You need to feed 5,000kg of Tilapia. The MCP runs a projection to tell you the exact feed tonnage needed over the next six months.

02

Responding to Low Oxygen Alerts

The water quality drops. You ask the MCP to evaluate the impact, and it tells you your metabolism multiplier drops by 35%, forcing you to adjust feeding.

03

Planning the Next Cycle

You want to know when your current batch of salmon will be ready. The MCP calculates the harvest schedule based on current growth rates.

04

Comparing Water Temperatures

You are considering moving your farm to a warmer region. The MCP uses the TGC model to show how the higher temperature accelerates growth.

One connector, every AI

Aquaculture Modeling Engine 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Aquaculture Modeling Engine 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

889ms average. Fast in production.

Aquaculture Modeling Engine is checked daily against the live service.

Daily averagePeak 1158ms
Oct 3Today
Fastest day
697ms
Slowest day
1158ms
14-day trend
Slowing+10%

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.

Connector linkhttps://edge.vinkius.com/vk_preview_1qknB9H0CkLFNmltGuW28hOigcikR1mLdLsrg40j/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 — Aquaculture Modeling Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "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

Guided setup for Claude? Set up Aquaculture Modeling Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Aquaculture Modeling Engine owners hand off.

This MCP is essential for aquaculture managers, commercial fish farmers, and aquatic biologists. If your job involves scaling fish production or optimizing feed costs, this capability gives you the data you need to make informed decisions.

  • 01

    Aquaculture Manager

    Uses the MCP to plan feed budgets and predict optimal harvest schedules for multiple species.

  • 02

    Commercial Fish Farmer

    Relies on the MCP to adjust operations when environmental conditions, like low oxygen, threaten growth.

  • 03

    Aquatic Biologist

    Employs the MCP to run complex growth models using the Thermal Growth Coefficient (TGC) for research.

FAQ

Questions Aquaculture Modeling Engine owners ask.

  • 01

    Does this MCP only work for salmon?

    No. This MCP uses general biological models, including the Thermal Growth Coefficient (TGC), so it applies to various species in aquaculture.

  • 02

    What kind of data does it need to run a projection?

    The MCP requires inputs like initial weight, target weight, current water temperature, and the species type to calculate growth and feed needs.

  • 03

    Can I use this to check my water quality?

    Yes. The evaluate_environmental_impact capability assesses how water conditions, such as dissolved oxygen levels, limit your feeding efficiency.

  • 04

    Is this MCP better than using a spreadsheet?

    This MCP runs complex biological models, like the TGC, which account for environmental variables and metabolic efficiency in a way that standard spreadsheets often cannot.

  • 05

    What does 'FCR' mean in this context?

    FCR stands for Feed Conversion Ratio. The MCP calculates this to show how efficiently your fish convert the feed they eat into body weight.

  • 06

    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.

  • 07

    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.

  • 08

    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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