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Connect Tea Leaf Quality Index to ChatGPT, Claude and Gemini

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 precise harvest timing and quality forecasts for your plantation.

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 Tea Leaf Quality Index.

  1. 01

    Evaluate black tea potential

    This capability analyzes the oxidation potential specifically for black tea production. It uses chemical data to determine how well the leaves will perform during processing.

  2. 02

    Calculate plucking metrics

    This capability finds the ideal harvest timing and expected quality. It uses leaf state, shoot age, and position to set your plucking schedule.

  3. 03

    Predict grade distribution

    This capability forecasts the percentage of leaves that will fall into specific commercial grades. It helps you plan for different market tiers based on current shoot data.

Real work

What teams actually run

01

Harvest Scheduling

Use the MCP to determine the best day to pluck based on current shoot age and position.

02

Market Planning

Predict the percentage of premium grade leaves to prepare for high-end buyers.

03

Black Tea Optimization

Analyze chemical ratios to ensure the tea has the right oxidation potential.

04

Quality Benchmarking

Compare expected cup quality scores against actual harvest results.

One connector, every AI

Tea Leaf Quality Index 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 Tea Leaf Quality Index 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

839ms average. Fast in production.

Tea Leaf Quality Index is checked daily against the live service.

Daily averagePeak 1137ms
Oct 3Today
Fastest day
675ms
Slowest day
1137ms
14-day trend
Improving-27%

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 Tea Leaf Quality Index, so you can see the experience inside your AI.

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

Tea Leaf Quality Index Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_1yYl9D0U9grTcvl0TcQj15gYVTUxmeA7WwtW2c7X/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 — Tea Leaf Quality Index capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "tea-leaf-quality-index-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_1yYl9D0U9grTcvl0TcQj15gYVTUxmeA7WwtW2c7X/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 Tea Leaf Quality Index in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Tea Leaf Quality Index owners hand off.

This MCP is built for professionals managing large scale tea plantations who need to bridge the gap between field data and commercial output.

  • 01

    Plantation Managers

    They hand off chemical and shoot data to the AI to set harvest schedules.

  • 02

    Quality Control Specialists

    They use the MCP to predict grade distributions and oxidation potential.

  • 03

    Agricultural Analysts

    They feed biological metrics into the capability to forecast commercial yields.

FAQ

Questions Tea Leaf Quality Index owners ask.

  • 01

    What data does the Tea Leaf Quality Index MCP need?

    The MCP requires data points like leaf position, shoot age, and chemical composition, including levels of polyphenols, caffeine, and amino acids.

  • 02

    Can I use this for green tea?

    Yes, the MCP can predict grade distributions for green tea based on shoot position and age.

  • 03

    How does it help with black tea production?

    It evaluates the oxidation potential by analyzing the ratio of theaflavin to thearubigin.

  • 04

    What AI clients can I use with this MCP?

    You can use any MCP-compatible client, such as Claude, Cursor, Windsurf, or VS Code.

  • 05

    Does this MCP calculate harvest timing?

    Yes, the calculate_plucking_metrics capability determines the ideal plucking interval based on the current state of the leaves.

  • 06

    How can I determine the best time to harvest my tea?

    You can use the calculate_plucking_metrics capability. By providing the leaf position, shoot age, and chemical composition, the capability returns the optimum plucking interval and an expected cup quality score.

  • 07

    Can I predict the commercial grade of my tea leaves?

    Yes, the predict_grade_distribution capability allows you to forecast the percentage of premium, standard, and low grade leaves based on shoot maturity and seasonal factors.

  • 08

    How does this capability help with black tea production?

    The evaluate_black_tea_potential capability specifically analyzes the oxidation potential by calculating the ratio of theaflavin and thearubigin based on polyphenol levels.

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