ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Tailings Modeling Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Simulate physical evolution of tailings storage facilities.

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 Tailings Modeling Engine capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Tailings Modeling Engine.

  1. 01

    Analyze storage capacity

    Evaluates how much remaining space is left in the facility

  2. 02

    Estimate pond characteristics

    Predicts the size and position of the water body (supernatant pond) resting on the tailings

  3. 03

    Simulate consolidation effects

    Adjusts the deposition profile based on the physical settling and compaction of particles over time

  4. 04

    Calculate deposition profile

    Determines the spatial distribution of settled material and the resulting beach shape

One connector, every AI

Tailings Modeling Engine 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 Tailings Modeling Engine 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

1149ms average. Fast in production.

Tailings Modeling Engine is checked daily against the live service.

Daily averagePeak 1149ms
Sep 8Today
Fastest day
1149ms
Slowest day
1149ms
14-day trend
Stable0%

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 Tailings Modeling Engine, so you can see the experience inside your AI.

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

Tailings Modeling Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_AriLtPt0udACQKMSC2yvojZ5UdKip5BpPrPCMtiu/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 — Tailings Modeling Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "tailings-deposition-modeling-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_AriLtPt0udACQKMSC2yvojZ5UdKip5BpPrPCMtiu/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 Tailings Modeling Engine owners ask.

  • 01

    How does the capability account for particle segregation?

    The calculate_deposition_profile capability accounts for segregation by modeling how different sized particles settle at different rates, influencing the final beach slope.

  • 02

    Can I predict the remaining life of my storage facility?

    Yes, by using analyze_storage_capacity, you can calculate the utilization percentage and the estimated remaining life based on current deposition trends.

  • 03

    Does the simulation include material compaction?

    Yes, the simulate_consolidation_effects capability adjusts the deposition profile to reflect how material settles and compresses over time.