An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Pit Lake Prediction 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. Model the full lifecycle of mine pit lakes.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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 Pit Lake Prediction Model.

  1. 01

    Predict water level evolution

    This capability projects what the water level will look like at specific future time intervals.

  2. 02

    Simulate water quality

    Use this to model how chemical changes occur in the lake over time due to mineral interactions.

  3. 03

    Calculate filling status

    This capability determines the current state of the water level and how much time is needed to fill the pit.

  4. 04

    Evaluate leaching impact

    This capability quantifies the specific contribution of wall rock dissolution to the total water chemistry.

Real work

What teams actually run

01

Closure Planning

Model how a pit will behave as it fills during the mine closure phase.

02

Water Quality Monitoring

Predict pH drops and metal increases caused by reactive minerals.

03

Hydrological Modeling

Calculate the time required for a pit to reach its final water level.

04

Risk Assessment

Quantify the leaching impact of wall rock to prepare for environmental mitigation.

One connector, every AI

Pit Lake Prediction 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 Pit Lake Prediction 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

845ms average. Fast in production.

Pit Lake Prediction Model is checked daily against the live service.

Daily averagePeak 1172ms
Oct 3Today
Fastest day
749ms
Slowest day
1172ms
14-day trend
Slowing+32%

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 Pit Lake Prediction Model, so you can see the experience inside your AI.

It does not authenticate your account with Pit Lake Prediction Model. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Pit Lake Prediction Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_4Gn1JmntN21AsBQx3ealELYBLZsto2X10bdS5NMS/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 — Pit Lake Prediction Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pit-lake-prediction-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_4Gn1JmntN21AsBQx3ealELYBLZsto2X10bdS5NMS/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 Pit Lake Prediction Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Pit Lake Prediction Model owners hand off.

This MCP is built for professionals managing the environmental and hydrological risks of open pit mines.

  • 01

    Mining Engineers

    Use the agent to model pit filling and long term water stability.

  • 02

    Environmental Scientists

    Run chemical simulations to predict water quality degradation.

  • 03

    Hydrologists

    Model water level evolution and pit filling rates.

FAQ

Questions Pit Lake Prediction Model 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 model myself?

    No. Vinkius hosts and manages the MCP for you, so it is ready to use once you connect.

  • 03

    Can this model predict chemical changes?

    Yes. The simulate_water_quality capability models chemical changes in the lake due to mineral interactions.

  • 04

    How does it handle wall rock chemistry?

    The evaluate_leaching_impact capability quantifies how much wall rock dissolution contributes to the water chemistry.

  • 05

    Is this for real-time monitoring?

    It is designed for predictive modeling of pit lake formation and evolution over time.

  • 06

    How does the model account for evaporation?

    The model incorporates evaporation rates into the water balance calculations to determine the net accumulation of water in the pit.

  • 07

    Can I simulate the impact of specific rock types?

    Yes, by using simulate_water_quality, you can model how different mineral compositions in the wall rock influence pH and metal concentrations.

  • 08

    What data is required for filling status calculations?

    You need to provide pit geometry, annual rainfall, annual groundwater inflow, and annual evaporation rates.

Explore

More in Environmental Science

Suggestions

Connect Pit Lake Prediction Model to Claude, Cursor, ChatGPT & more