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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Flotation Kinetics Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Models flotation kinetics from test data to predict recovery and residence time.

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 Flotation Kinetics Model capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Flotation Kinetics Model.

  1. 01

    Calculate kinetic parameters

    Determines the fundamental kinetic constants from experimental recovery-time datasets

  2. 02

    Estimate residence time

    Calculates the required time in the flotation circuit to meet a specific recovery target

  3. 03

    Predict recovery

    Predicts the expected recovery percentage at a specific point in time

  4. 04

    Simulate condition impact

    Evaluates how changing flotation conditions affects the kinetics

One connector, every AI

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

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

Flotation Kinetics Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_DIURwYZCwJOapaiVgPKkk0R9WPi7picrMcV86ZpI/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 — Flotation Kinetics Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "flotation-kinetics-modeler-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_DIURwYZCwJOapaiVgPKkk0R9WPi7picrMcV86ZpI/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 Flotation Kinetics Model owners ask.

  • 01

    How do I calculate kinetic constants from my experimental data?

    You can use the calculate_kinetic_parameters capability by providing your recovery-time dataset as a JSON array.

  • 02

    Can I simulate the effect of increasing reagent dosage?

    Yes, the simulate_condition_impact capability allows you to apply a multiplier to your current rate constant and ultimate recovery to estimate improvements.

  • 03

    How do I know how long the flotation cell needs to run?

    Use the estimate_residence_time capability with your target recovery and kinetic parameters to find the required time.

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