What can this MCP do with my resource models?

It analyzes mineral resource models to calculate the relationship between cut-off grades and ore quantities, including tonnage, average grade, and contained metal.

Can I apply mining constraints to my calculations?

Yes, you can apply physical mining constraints like minimum mining width and maximum dilution to determine extractable ore tonnage.

How do I ensure my model is ready for analysis?

You should use the validate_resource_model capability to check the integrity and completeness of your model before running other capabilities.

Which AI clients can use this MCP?

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

Does this MCP host the data?

Vinkius hosts and manages the MCP, so you can connect once and have it ready to use in your preferred environment.

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.

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.

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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Connect Grade-Tonnage Curve Model to ChatGPT and Claude

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. Turn resource models into actionable ore quantity data.

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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.

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.

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-Tonnage Curve Model.

01
Get constrained tonnage
This capability calculates the maximum ore tonnage you can actually extract when you apply specific physical mining constraints.
02
Get curve data
This capability generates the specific data points required to plot a complete Grade-Tonnage curve.
03
Get tonnage stats
This capability determines the relationship between a chosen cut-off grade and the resulting resource quantities.
04
Validate resource model
This capability checks your resource model for integrity and completeness before you start generating curves or stats.

Real work

What teams actually run

Feasibility Studies

Use the MCP to quickly estimate how different cut-off grades impact total tonnage and metal content.

Mine Design Optimization

Apply minimum mining width constraints to see how they limit extractable ore.

Resource Model Auditing

Run validation checks to ensure a resource model is complete before running heavy computations.

Production Planning

Get specific tonnage and grade stats for a given cut-off to inform short-term planning.

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.

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.

Observed, not estimated

932ms average. Fast in production.

Grade-Tonnage Curve Model is checked daily against the live service.

Daily averagePeak 1153ms

Oct 3Today

Fastest day: 753ms
Slowest day: 1153ms
14-day trend: Stable+2%

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.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
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? Set up Grade-Tonnage Curve Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Grade-Tonnage Curve Model owners hand off.

This MCP is built for professionals working in mineral resource estimation and mine planning.

01
Resource Geologists
They use the MCP to validate models and quickly check grade-tonnage relationships.
02
Mine Planners
They apply physical mining constraints to resource models to estimate extractable ore.
03
Mining Engineers
They use the capability to calculate tonnage and grade stats for feasibility studies.

FAQ

Questions Grade-Tonnage Curve Model owners ask.

01
What can this MCP do with my resource models?
It analyzes mineral resource models to calculate the relationship between cut-off grades and ore quantities, including tonnage, average grade, and contained metal.
02
Can I apply mining constraints to my calculations?
Yes, you can apply physical mining constraints like minimum mining width and maximum dilution to determine extractable ore tonnage.
03
How do I ensure my model is ready for analysis?
You should use the validate_resource_model capability to check the integrity and completeness of your model before running other capabilities.
04
Which AI clients can use this MCP?
You can use this MCP with any MCP-compatible client, such as Claude, Cursor, Windsurf, or VS Code.
05
Does this MCP host the data?
Vinkius hosts and manages the MCP, so you can connect once and have it ready to use in your preferred environment.
06
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.
07
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.
08
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.

Explore

More in Mining

Connect Grade-Tonnage Curve Model to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Get constrained tonnage

Get curve data

Get tonnage stats

Validate resource model

What teams actually run

Feasibility Studies

Mine Design Optimization

Resource Model Auditing

Production Planning

Building your own app? The connector is yours to use.

Grade-Tonnage Curve Model Connector

Claude Desktop

Resource Geologists

Mine Planners

Mining Engineers

What can this MCP do with my resource models?

Can I apply mining constraints to my calculations?

How do I ensure my model is ready for analysis?

Which AI clients can use this MCP?

Does this MCP host the data?

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

Can I account for mining dilution in my calculations?

How do I generate a full curve of data points?

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