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Connect Vineyard Yield Estimator 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. Predict grape mass and harvest windows using phenological models.

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 Vineyard Yield Estimator.

  1. 01

    Predict harvest date

    This capability forecasts your estimated harvest date by analyzing current phenological stages.

  2. 02

    Calculate yield metrics

    Use this to get specific expected grape yield numbers per hectare.

  3. 03

    Get vineyard health summary

    This capability provides a high level overview of your vineyard's current health and productivity levels.

Real work

What teams actually run

01

Harvest Planning

Predict when grapes will reach maturity to schedule picking crews and equipment.

02

Yield Estimation

Calculate expected tonnage per hectare to manage winery inventory and sales expectations.

03

Pruning Strategy

Compare cane and spur pruning outcomes to decide on next season's management.

04

Risk Management

Monitor health summaries to catch stability issues before they impact the harvest.

One connector, every AI

Vineyard Yield Estimator 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 Vineyard Yield Estimator 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

914ms average. Fast in production.

Vineyard Yield Estimator is checked daily against the live service.

Daily averagePeak 1168ms
Oct 3Today
Fastest day
686ms
Slowest day
1168ms
14-day trend
Slowing+35%

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 Vineyard Yield Estimator, so you can see the experience inside your AI.

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

Vineyard Yield Estimator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_HS1tvsfZFX4zRV7Mcfx3OgaytuY5iReTd5YNGRgC/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 — Vineyard Yield Estimator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "vineyard-yield-estimator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_HS1tvsfZFX4zRV7Mcfx3OgaytuY5iReTd5YNGRgC/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 Vineyard Yield Estimator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Vineyard Yield Estimator owners hand off.

This MCP is built for professionals managing commercial grape production who need data driven harvest planning.

  • 01

    Viticulturists

    They hand off vine architecture and phenology data to the AI to get precise yield estimates.

  • 02

    Vineyard Managers

    They use the AI to monitor vineyard health and plan labor around predicted harvest dates.

  • 03

    Estate Owners

    They use the capability to assess production risks and long term vineyard stability.

FAQ

Questions Vineyard Yield Estimator owners ask.

  • 01

    What model does this MCP use for predictions?

    The MCP uses the Baggiolini phenology model to calculate harvest windows and yield metrics.

  • 02

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any compatible client like Claude, Cursor, or Windsurf through the Vinkius platform.

  • 03

    What kind of pruning data can I input?

    You can provide data for both cane and spur pruning methods to see how they affect your yield metrics.

  • 04

    Does this help with harvest scheduling?

    Yes, the predict_harvest_date capability uses phenological stages to estimate when your grapes will be ready.

  • 05

    How does canopy density factor into the results?

    The AI uses canopy density to determine a productivity multiplier and assess overall yield risk.

  • 06

    How does the capability calculate yield?

    The calculate_yield_metrics capability uses vine density, bud count, fruitfulness, and berry weight to determine the total expected mass per hectare.

  • 07

    Can I predict the harvest date?

    Yes, by using predict_harvest_date, you can estimate the days remaining until harvest based on the current Baggiolini stage and temperature.

  • 08

    What pruning methods are supported?

    The system supports SPUR, CANE, and MECHANICAL pruning methods to adjust yield expectations.

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