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Connect Cocoa Drying Quality Predictor 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 bean chemistry and final grades from fermentation 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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Cocoa Quality Predictor.

  1. 01

    Assess drying impact

    This capability evaluates how specific drying methods influence moisture removal.

  2. 02

    Calculate cut test score

    Use this to estimate the physical quality score of a cocoa batch.

  3. 03

    Determine final grade

    This capability classifies cocoa batches into specific grades like premium or standard.

  4. 04

    Predict bean chemistry

    This capability calculates predicted pH levels and flavor precursor concentrations.

Real work

What teams actually run

01

Optimizing Drying Cycles

Adjust drying times by seeing how temperature changes moisture reduction.

02

Grade Forecasting

Determine if a batch will hit premium status before it reaches the warehouse.

03

Fermentation Tuning

Use pH predictions to decide if fermentation needs more or less time.

04

Risk Assessment

Check the contamination risk associated with specific mechanical drying methods.

One connector, every AI

Cocoa Quality Predictor 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 Cocoa Quality Predictor 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

882ms average. Fast in production.

Cocoa Quality Predictor is checked daily against the live service.

Daily averagePeak 1172ms
Oct 3Today
Fastest day
715ms
Slowest day
1172ms
14-day trend
Slowing+11%

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 Cocoa Quality Predictor, so you can see the experience inside your AI.

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

Cocoa Quality Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_ucpH03g78WhHkXn4WcwPL7rKpfGfwYxpwRfnSpFD/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 — Cocoa Quality Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cocoa-drying-quality-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ucpH03g78WhHkXn4WcwPL7rKpfGfwYxpwRfnSpFD/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 Cocoa Quality Predictor in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Cocoa Quality Predictor owners hand off.

This MCP is built for professionals managing cocoa production and quality control.

  • 01

    Cocoa Processors

    They use the MCP to adjust drying temperatures based on predicted moisture levels.

  • 02

    Quality Control Managers

    They hand off fermentation data to the AI to predict final batch grades.

  • 03

    Agricultural Technologists

    They use the chemical prediction capabilities to optimize fermentation protocols.

FAQ

Questions Cocoa Quality Predictor owners ask.

  • 01

    What kind of data do I need to provide?

    You typically provide fermentation duration, initial moisture levels, and drying temperatures.

  • 02

    Can I use this with Claude or Cursor?

    Yes, this MCP works with any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 03

    How does it determine the cocoa grade?

    It uses the results from chemical predictions and cut test scores to classify batches into grades like premium or standard.

  • 04

    Does this MCP require me to host anything?

    No, Vinkius hosts and manages the MCP so it is ready to use immediately after connection.

  • 05

    Can it predict flavor potential?

    Yes, the predict_bean_chemistry capability calculates flavor precursor concentrations to help estimate flavor potential.

  • 06

    How does the drying method affect the prediction?

    The assess_drying_impact capability accounts for the specific method used--sun, mechanical, or hybrid--to calculate drying rates and contamination risks.

  • 07

    Can I predict the final chocolate grade?

    Yes, by using determine_final_grade with the predicted cut test score, pH, and flavor precursors, you can classify the batch as premium, standard, or low.

  • 08

    What inputs are needed for chemical prediction?

    To use predict_bean_chemistry, you need the fermentation duration, initial moisture content, and the drying temperature.

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