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Connect Laying Hen Egg Production Model 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. Predict poultry lifecycle performance and nutritional impact.

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Laying Hen Production Model.

  1. 01

    Get production curve

    Calculates weekly performance metrics for a single production cycle. Use this to track egg weight and feed conversion over time.

  2. 02

    Compare nutrition strategies

    Compares how different nutritional levels affect weight and efficiency. This capability helps you pick the best diet for your flock.

  3. 03

    Predict lifecycle totals

    Estimates the total output and duration of a hen's productive life. It provides a full picture of lifetime productivity.

  4. 04

    Simulate molt intervention

    Evaluates how specific molt timing affects the production trajectory. Use this to test the impact of molting on your curves.

Real work

What teams actually run

01

Dietary Optimization

Compare how Premium versus Standard nutrition affects egg weight and feed conversion.

02

Production Planning

Estimate the total number of eggs a flock will produce over its entire lifespan.

03

Management Testing

Simulate how different molt timings will shift your production curve.

04

Strain Comparison

Model how different genetic strains perform under specific lighting and nutrition programs.

One connector, every AI

Laying Hen Production Model 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 Laying Hen Production Model 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

905ms average. Fast in production.

Laying Hen Production Model is checked daily against the live service.

Daily averagePeak 1182ms
Oct 3Today
Fastest day
695ms
Slowest day
1182ms
14-day trend
Stable-3%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 Laying Hen Production Model, so you can see the experience inside your AI.

It does not authenticate your account with Laying Hen Production Model. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Laying Hen Production Model Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_nmkWgA2GUPg0hxaT6VI70xGb5axV3mT3klvMkqL3/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 — Laying Hen Production Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "laying-hen-egg-production-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_nmkWgA2GUPg0hxaT6VI70xGb5axV3mT3klvMkqL3/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 Laying Hen Production Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Laying Hen Production Model owners hand off.

This MCP is built for professionals managing poultry production and nutrition. You can hand off complex mathematical modeling to your AI agent.

  • 01

    Poultry Producers

    Use the agent to forecast flock output and test management changes.

  • 02

    Nutritionists

    Hand off dietary efficiency calculations to the MCP to compare feed strategies.

  • 03

    Agricultural Analysts

    Use the simulation engine to build production models based on genetic strains.

FAQ

Questions Laying Hen Production Model owners ask.

  • 01

    What mathematical model does this MCP use?

    This MCP uses the Adams-Bell mathematical model to simulate laying hen productivity.

  • 02

    Which AI clients can I use with this MCP?

    You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 03

    Can I simulate the effect of different feed types?

    Yes, you can use the compare_nutrition_strategies capability to see how different nutritional levels affect weight and efficiency.

  • 04

    Does this capability account for genetic strains?

    Yes, the model accounts for genetic strain along with lighting and nutrition to predict performance.

  • 05

    How do I see weekly production data?

    You can use the get_production_curve capability to see weekly metrics such as egg weight and feed conversion.

  • 06

    How does the model account for different poultry breeds?

    The model uses the strain parameter to adjust the biological ceiling and decay rate of the production curve according to specific genetic characteristics.

  • 07

    Can I simulate the effect of a molt?

    Yes, you can use the simulate_molt_intervention capability to evaluate how specific molt timing affects production recovery and peak shifts.

  • 08

    What metrics are included in the weekly production data?

    The get_production_curve capability provides egg production percentage, average egg weight, daily feed intake, and feed conversion (kg feed per dozen eggs).

Connect Laying Hen Production Model to Claude, Cursor, ChatGPT & more