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Connect Grade Control Modeling 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. Optimize ore extraction and minimize waste misclassification.

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 Grade Control Modeling.

  1. 01

    Calculate ore blocks

    This capability identifies and quantifies the specific volumes of material that meet your economic cutoff criteria.

  2. 02

    Estimate dilution impact

    Use this to predict how much your ore grade will drop due to waste being pulled in during excavation.

  3. 03

    Evaluate misclassification risk

    This capability assesses the likelihood that you'll lose ore or accidentally treat waste as ore.

  4. 04

    Generate dig limits

    This capability defines the physical operational boundaries for your mining equipment.

Real work

What teams actually run

01

Pit Optimization

Define the exact boundaries for equipment to follow based on ore block calculations.

02

Grade Control Planning

Predict how much dilution will occur during a specific excavation pass.

03

Risk Management

Assess the chance of losing high-grade ore to the waste pile.

04

Economic Modeling

Determine which material volumes actually meet your cutoff grade requirements.

One connector, every AI

Grade Control Modeling 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 Grade Control Modeling 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

909ms average. Fast in production.

Grade Control Modeling is checked daily against the live service.

Daily averagePeak 1219ms
Oct 3Today
Fastest day
706ms
Slowest day
1219ms
14-day trend
Slowing+40%

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 Grade Control Modeling, so you can see the experience inside your AI.

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

Grade Control Modeling Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_xXZnEnWmFm9DQR5xXFV91hWTvFH4t2InN6hTF4mA/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 — Grade Control Modeling capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "grade-control-modeling-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_xXZnEnWmFm9DQR5xXFV91hWTvFH4t2InN6hTF4mA/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 Grade Control Modeling in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Grade Control Modeling owners hand off.

This MCP is built for professionals managing extraction accuracy and resource recovery.

  • 01

    Mine Engineers

    They use the MCP to set precise dig limits and operational boundaries.

  • 02

    Geologists

    They rely on the capability to quantify ore blocks from assay data.

  • 03

    Mine Planners

    They use the risk and dilution capabilities to optimize extraction schedules.

FAQ

Questions Grade Control Modeling owners ask.

  • 01

    What AI clients can I use with this MCP?

    You can connect this MCP to any compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 02

    How does the MCP handle ore block calculations?

    The calculate_ore_blocks capability identifies and quantifies material volumes that meet your specific economic criteria.

  • 03

    Can I use this to set equipment boundaries?

    Yes, the generate_dig_limits capability defines the physical operational boundaries for your mining equipment.

  • 04

    Does this help with predicting grade loss?

    Yes, the estimate_dilution_impact capability predicts grade reduction caused by waste being included during excavation.

  • 05

    How is misclassification risk measured?

    The evaluate_misclassification_risk capability assesses the probability of losing ore or misclassifying waste.

  • 06

    How can I identify ore volumes?

    You can use the calculate_ore_blocks capability by providing assay data, geological interpretation, and the required cutoff grade.

  • 07

    How do I define excavation boundaries?

    Use the generate_dig_limits capability with the identified ore blocks and a selectivity factor to define operational boundaries.

  • 08

    Can I predict dilution in my mining plan?

    Yes, the estimate_dilution_impact capability predicts the expected percentage of dilution and the final grade based on your dig limits and assay data.

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