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Connect Asparagus Spear Growth Model 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. Get actionable harvest intelligence from environmental data.

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 Asparagus Growth Model.

  1. 01

    Calculate harvest schedule

    Determines when to harvest to maximize yield while protecting the plant

  2. 02

    Get daily growth projections

    Predicts the daily physical development of spears based on environmental heat

  3. 03

    Predict quality distribution

    Estimates the market readiness and physical quality of the crop

Real work

What teams actually run

01

Planning for a Hot Spell

If temperatures spike unexpectedly, the MCP predicts the immediate growth rate changes, allowing you to adjust labor schedules.

02

Determining Optimal Harvest Cycle

You input current carbohydrate reserves and growth rates to find the perfect harvest interval that maximizes profit.

03

Assessing Market Risk

Before a major sale, you run a quality prediction to see if the current conditions will result in a standard or premium grade.

04

Comparing Year-Over-Year Yields

By inputting historical and current environmental data, you can model expected yield differences for planning.

One connector, every AI

Asparagus Growth 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 Asparagus Growth 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

848ms average. Fast in production.

Asparagus Growth Model is checked daily against the live service.

Daily averagePeak 1054ms
Oct 3Today
Fastest day
665ms
Slowest day
1054ms
14-day trend
Slowing+22%

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 Asparagus Growth Model, so you can see the experience inside your AI.

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

Asparagus Growth Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_U250eMYOoivnsLKSxuHLFF671lXS6JIU2nT83WCo/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 — Asparagus Growth Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "asparagus-spear-growth-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_U250eMYOoivnsLKSxuHLFF671lXS6JIU2nT83WCo/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 Asparagus Growth Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Asparagus Growth Model owners hand off.

This MCP is built for commercial growers and agricultural consultants. If you manage large-scale asparagus fields, this capability gives you the data to make decisions that save time and money. You'll use it to move beyond basic observation and into predictive crop management.

  • 01

    Agronomist

    Uses the MCP to model complex interactions between temperature, reserves, and growth to advise clients.

  • 02

    Farm Manager

    Connects the MCP to environmental sensors to automate harvest scheduling and resource allocation.

  • 03

    Crop Consultant

    Relies on the MCP to generate quality reports and growth projections for client reviews.

FAQ

Questions Asparagus Growth Model owners ask.

  • 01

    What kind of data does this MCP need to run?

    The MCP requires environmental data, specifically temperature readings, and biological metrics like carbohydrate reserves. It uses this information to calculate thermal time and growth projections.

  • 02

    Is this model just for predicting growth, or does it help with harvesting?

    It does both. Beyond predicting daily growth, the MCP includes capabilities to calculate the optimal harvest schedule and assess market readiness.

  • 03

    Does it account for the plant's recovery time?

    Yes. When calculating the harvest schedule, the MCP builds in recommended rest periods. This protects the plant crown and ensures better regrowth for the next cycle.

  • 04

    Can I use this with different types of crops?

    No. This MCP is specifically designed for asparagus cultivation and uses models tailored to spear development and asparagus biology.

  • 05

    What does 'fiber density' mean in the results?

    Fiber density is a key indicator of quality. The MCP uses it to help you predict the market grade of your crop, letting you know if it's ready for premium sale.

  • 06

    How does the model account for plant energy?

    The model tracks carbohydrate reserves in the plant crown. As these reserves are depleted by spear emergence and harvesting, the growth rate is adjusted accordingly.

  • 07

    Can I predict if my spears will have open tips?

    Yes, by using predict_quality_distribution, you can estimate tip integrity and fiber density based on predicted average temperatures.

  • 08

    How do I plan my harvest season?

    You can use calculate_harvest_schedule to determine the optimal interval between harvests to maximize yield without depleting the plant's energy reserves.

Connect Asparagus Growth Model to Claude, Cursor, ChatGPT & more