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Connect Ore Sorting Optimization 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. Design and model efficient ore sorting circuits with precision.

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 Ore Sorting Optimization.

  1. 01

    Analyze ore distribution

    This capability analyzes the statistical distribution of ore grades within your raw feed. It provides the foundational data needed for sorting decisions.

  2. 02

    Calculate sorting parameters

    Use this capability to determine the optimal cut-off grade and predict recovery rates. It helps you find the most profitable sorting thresholds.

  3. 03

    Evaluate circuit capacity

    This capability checks the physical capacity of your sorting hardware. It uses parameters like belt speed and ore density to confirm throughput limits.

  4. 04

    Perform mass water balance

    This capability handles mass and water balance calculations. It ensures your material and water flows are mathematically consistent.

Real work

What teams actually run

01

Circuit Design Validation

Verify if a proposed sorting circuit can handle the expected ore feed before implementation.

02

Cut-off Grade Optimization

Find the most efficient cut-off grade to maximize product yield from a specific ore body.

03

Throughput Modeling

Calculate how changes in belt speed or ore density will impact total circuit capacity.

04

Mass Balance Auditing

Run water and mass balance checks to ensure logistical feasibility of the sorting process.

One connector, every AI

Ore Sorting Optimization 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 Ore Sorting Optimization 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

861ms average. Fast in production.

Ore Sorting Optimization is checked daily against the live service.

Daily averagePeak 974ms
Oct 3Today
Fastest day
690ms
Slowest day
974ms
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 Ore Sorting Optimization, so you can see the experience inside your AI.

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

Ore Sorting Optimization Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_s5kI0QPK3oXRSWPV9otTmSGtrIdyxqlpxz8Zv1qh/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 — Ore Sorting Optimization capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ore-sorting-optimization-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_s5kI0QPK3oXRSWPV9otTmSGtrIdyxqlpxz8Zv1qh/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 Ore Sorting Optimization in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Ore Sorting Optimization owners hand off.

This MCP is built for mining professionals who need to bridge the gap between raw data and circuit design. It allows technical experts to offload complex modeling tasks to their AI client.

  • 01

    Mining Engineer

    Uses the MCP to model circuit capacity and optimize grade recovery.

  • 02

    Process Engineer

    Uses the capabilities to perform mass and water balance checks for circuit stability.

  • 03

    Metallurgist

    Uses grade distribution and cut-off grade capabilities to refine ore processing strategies.

FAQ

Questions Ore Sorting Optimization owners ask.

  • 01

    What AI clients can I use with this MCP?

    You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 02

    Do I need to host the MCP myself?

    No. Vinkius hosts and manages the MCP for you. You just connect your client and it is ready to use.

  • 03

    Can this MCP help with water management in mining?

    Yes. The perform_mass_water_balance capability is specifically designed to manage material and water flows.

  • 04

    How does it handle physical equipment constraints?

    The evaluate_circuit_capacity capability uses specific inputs like belt width, speed, and ore density to check hardware limits.

  • 05

    Is this for real-time ore sorting or design?

    The capabilities are designed for both analyzing ore distributions and modeling the capacity and parameters of sorting circuits.

  • 06

    How can I determine the best cut-off grade for my sensor?

    You can use the calculate_sorting_parameters capability, providing your grade data, sensor accuracy, and target recovery to find the optimal threshold.

  • 07

    Can I check if my conveyor belt is wide enough for the ore throughput?

    Yes, the evaluate_circuit_capacity capability calculates throughput capacity based on belt width, speed, ore density, and material thickness.

  • 08

    How do I calculate the water requirements for the sorting process?

    Use the perform_mass_water_balance capability to calculate total water requirements and losses based on input mass and moisture content.

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