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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Grade Control Modeling with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Models grade control for ore/waste discrimination to optimize extraction accuracy.

Included with plan

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

Complete set · 4 capabilities

The complete Grade Control Modeling capability set.

These are the exact actions your AI can choose when you ask it to work with Grade Control Modeling.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Grade Control Modeling.

  1. 01

    Calculate ore blocks

    Identify and quantify volumes of material meeting economic criteria

  2. 02

    Estimate dilution impact

    Predict grade reduction caused by waste inclusion during excavation

  3. 03

    Evaluate misclassification risk

    Assess probability of ore loss or waste misclassification

  4. 04

    Generate dig limits

    Define operational boundaries for mining equipment

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.

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? link.label

See all the AI clients this connector works with ↑

FAQ

Questions Grade Control Modeling owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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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