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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Acid Rock Drainage Prediction with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict environmental risk from acid rock drainage using geochemical and kinetic data.

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 Acid Rock Drainage Prediction capability set.

These are the exact actions your AI can choose when you ask it to work with Acid Rock Drainage Prediction.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Acid Rock Drainage Prediction.

  1. 01

    Classify drainage risk

  2. 02

    Evaluate kinetic risk

  3. 03

    Run nag test

  4. 04

    Analyze static aba

One connector, every AI

Acid Rock Drainage Prediction 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 Acid Rock Drainage Prediction 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

1117ms average. Fast in production.

Acid Rock Drainage Prediction is checked daily against the live service.

Daily averagePeak 1117ms
Sep 8Today
Fastest day
1117ms
Slowest day
1117ms
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 Acid Rock Drainage Prediction, so you can see the experience inside your AI.

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

Acid Rock Drainage Prediction Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_g2NNgQvRSnMmgf1sI6Q0mFmkRnwNdFKb9nYcln7W/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 — Acid Rock Drainage Prediction capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "acid-rock-drainage-prediction-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_g2NNgQvRSnMmgf1sI6Q0mFmkRnwNdFKb9nYcln7W/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 Acid Rock Drainage Prediction owners ask.

  • 01

    What is the difference between static and kinetic testing?

    Static testing, like analyze_static_aba, provides a snapshot of acid-generating and neutralizing potential. Kinetic testing, handled by evaluate_kinetic_risk, simulates time-dependent weathering to predict how these potentials change over time.

  • 02

    How do I get a final risk assessment?

    You can use the classify_drainage_risk capability. It takes the outputs from your static, NAG, and kinetic tests to provide a unified classification and confidence level.

  • 03

    Can I use NAG test results?

    Yes, you can use run_nag_test to predict acid generation based on the acidity produced during the Net Acid Generation test.

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