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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Leaching Kinetics Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Models metal leaching kinetics to determine rate constants, activation energy, and leach time predictions.

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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 Leaching Kinetics Model capability set.

These are the exact actions your AI can choose when you ask it to work with Leaching Kinetics Model.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Leaching Kinetics Model.

  1. 01

    Get kinetic parameters

    Calculates fundamental kinetic constants from experimental recovery data

  2. 02

    Predict leach time

    Estimates how long it will take to reach a target metal extraction level

  3. 03

    Simulate leach profile

    Generates a theoretical recovery curve over time for a given set of conditions

  4. 04

    Analyze mineralogy impact

    Evaluates how the specific mineral composition affects the expected leaching difficulty

One connector, every AI

Leaching Kinetics 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 Leaching Kinetics 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.

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 Leaching Kinetics Model, so you can see the experience inside your AI.

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

Leaching Kinetics Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_IlzmLKj8wpOzGnnJJNeJKIzg65XRNNvO5EQTWdVv/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 — Leaching Kinetics Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "leaching-kinetics-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_IlzmLKj8wpOzGnnJJNeJKIzg65XRNNvO5EQTWdVv/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 Leaching Kinetics Model owners ask.

  • 01

    How do I calculate the rate constant from my experimental data?

    You can use the get_kinetic_parameters capability by providing your recovery data as a JSON array of time and recovery objects along with the temperature used.

  • 02

    Can this model predict how long a leach cycle will take?

    Yes, once you have the kinetic parameters, you can use predict_leach_time to estimate the duration needed to reach a specific target recovery level.

  • 03

    How does mineralogy affect the leaching results?

    The analyze_mineralogy_impact capability evaluates how the specific composition of your ore affects the difficulty and the expected rate of the leaching process.

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