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Connect Tailings Deposition Modeling 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. Predict the physical evolution of tailings storage facilities.

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 Tailings Modeling Engine.

  1. 01

    Analyze storage capacity

    This capability evaluates how much remaining space is left in your facility.

  2. 02

    Estimate pond characteristics

    It predicts the size and position of the supernatant pond resting on the tailings.

  3. 03

    Simulate consolidation effects

    This capability adjusts the deposition profile by accounting for particle compaction over time.

  4. 04

    Calculate deposition profile

    It determines the spatial distribution of settled material and the resulting beach shape.

Real work

What teams actually run

01

Capacity Planning

Determine how much more waste a facility can take before reaching its limit.

02

Pond Management

Predict where the water will settle to manage supernatant pond risks.

03

Deposition Modeling

Model how different discharge points change the shape of the tailings beach.

04

Consolidation Analysis

Account for how settling and compaction change the facility profile over time.

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.

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 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

839ms average. Fast in production.

Tailings Modeling Engine is checked daily against the live service.

Daily averagePeak 997ms
Oct 3Today
Fastest day
719ms
Slowest day
997ms
14-day trend
Improving-11%

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? Set up Tailings Modeling Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Tailings Modeling Engine owners hand off.

This MCP is built for professionals managing tailings storage and geotechnical stability.

  • 01

    Geotechnical Engineers

    They use the MCP to run rapid deposition simulations and check facility limits.

  • 02

    Mining Engineers

    They hand off facility geometry and discharge data to the AI to plan storage.

  • 03

    Environmental Consultants

    They use the modeling to predict long term facility behavior and water ponding.

FAQ

Questions Tailings Modeling Engine owners ask.

  • 01

    What can this MCP simulate?

    It simulates the physical evolution of tailings storage facilities, including beach shapes, pond sizes, and particle compaction.

  • 02

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 03

    How does it handle particle settling?

    The simulate_consolidation_effects capability adjusts the deposition profile to account for the physical compaction of particles over time.

  • 04

    Can I use this to check if a facility is full?

    Yes, you can use the analyze_storage_capacity capability to evaluate how much remaining space is left in the facility.

  • 05

    Does this MCP require complex setup?

    No, Vinkius hosts the MCP, so you just connect it to your client and start using the capabilities immediately.

  • 06

    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.

  • 07

    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.

  • 08

    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.

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