An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Lentil Splitting Yield Predictor 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. Calculate dhal yields and quality grades instantly.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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 Lentil Yield Predictor.

  1. 01

    Get processing margin

    Calculates a financial or efficiency buffer based on the expected loss during the splitting stage.

  2. 02

    Classify grade

    Assigns a commercial grade to your batch based on the predicted yield and quality metrics.

  3. 03

    Estimate cooking performance

    Predicts how much water the lentils will absorb and the time needed for cooking.

  4. 04

    Predict splitting yield

    Calculates the expected volume of usable dhal and the percentage of broken seeds.

Real work

What teams actually run

01

Production Planning

Calculate how much dhal a specific batch will produce before starting the machines.

02

Quality Standardization

Use cooking performance predictions to ensure consistent product quality.

03

Inventory Grading

Quickly categorize different lentil batches into commercial grades.

04

Financial Forecasting

Determine processing margins to account for seed loss during splitting.

One connector, every AI

Lentil Yield 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 Lentil Yield 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

866ms average. Fast in production.

Lentil Yield Predictor is checked daily against the live service.

Daily averagePeak 1155ms
Oct 3Today
Fastest day
737ms
Slowest day
1155ms
14-day trend
Stable-1%

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 Lentil Yield Predictor, so you can see the experience inside your AI.

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

Lentil Yield Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_O1kFG2C54FR8BnfZu8T6OSgfo8X4gnLmVpvDX8mW/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 — Lentil Yield Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "lentil-splitting-yield-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_O1kFG2C54FR8BnfZu8T6OSgfo8X4gnLmVpvDX8mW/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 Lentil Yield Predictor in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Lentil Yield Predictor owners hand off.

This MCP is built for professionals in the lentil processing and food production industries.

  • 01

    Food Processors

    They hand off seed measurements to the AI to plan dhal production runs.

  • 02

    Quality Control Managers

    They use the capability to assign commercial grades to incoming batches.

  • 03

    Agricultural Analysts

    They use the yield predictions to forecast supply and efficiency.

FAQ

Questions Lentil Yield Predictor owners ask.

  • 01

    What data do I need to predict lentil yield?

    You need to provide seed size, coat thickness, and moisture content to get an accurate prediction.

  • 02

    Can this MCP help with cooking times?

    Yes, the estimate_cooking_performance capability predicts both the time required and the water absorption properties.

  • 03

    How does it handle commercial grading?

    The classify_grade capability assigns a grade to a batch by looking at the predicted yield and quality outcomes.

  • 04

    Which AI clients can I use with this MCP?

    You can use any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 05

    Do I need to host the MCP myself?

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

  • 06

    How does harvest timing affect the results?

    Harvest timing influences seed coat integrity. Using predict_splitting_yield with a 'late' harvest timing will account for increased fragility and higher breakage risk.

  • 07

    Can I determine the commercial grade of my batch?

    Yes, by using the classify_grade capability with the yield and breakage data obtained from the prediction capabilities.

  • 08

    What information is needed to predict cooking time?

    To use estimate_cooking_performance, you need to provide the seed size, moisture content, cooking quality rating, and the specific variety.

Explore

More in Agriculture

Suggestions

Connect Lentil Yield Predictor to Claude, Cursor, ChatGPT & more