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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Grade-Tonnage Curve Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Analyze resource models to generate grade-tonnage curves and calculate ore quantities.

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-Tonnage Curve Model capability set.

These are the exact actions your AI can choose when you ask it to work with Grade-Tonnage Curve Model.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Grade-Tonnage Curve Model.

  1. 01

    Get constrained tonnage

    Determines the maximum ore tonnage extractable given specific physical mining constraints

  2. 02

    Get curve data

    Generates a set of data points to plot a full Grade-Tonnage curve

  3. 03

    Get tonnage stats

    Calculates the fundamental relationship between a specific cut-off grade and the resulting resource quantities

  4. 04

    Validate resource model

    Verifies the integrity and completeness of a resource model before attempting curve generation

One connector, every AI

Grade-Tonnage Curve Model 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-Tonnage Curve Model 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-Tonnage Curve Model, so you can see the experience inside your AI.

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

Grade-Tonnage Curve Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_065jcoAf8612eqkqxrpzNCyc9KdecCm7ozhKG8cX/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-Tonnage Curve Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "grade-tonnage-curve-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_065jcoAf8612eqkqxrpzNCyc9KdecCm7ozhKG8cX/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-Tonnage Curve Model owners ask.

  • 01

    How do I check if my resource model is ready for analysis?

    You can use the validate_resource_model capability to verify the integrity and completeness of your resource model before performing calculations.

  • 02

    Can I account for mining dilution in my calculations?

    Yes, the get_constrained_tonnage capability allows you to specify a maxDilution parameter to account for waste mixed with ore.

  • 03

    How do I generate a full curve of data points?

    Use the get_curve_data capability by providing a list of cut-off grades in the gradeSteps parameter.

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