What kind of data does this MCP need?

You need recovery-time datasets, typically consisting of time intervals and the corresponding recovery percentages.

Can I use this with Claude or Cursor?

Yes, you can use this MCP with any MCP-compatible client like Claude, Cursor, or Windsurf.

Does this MCP handle first-order kinetics?

Yes, the capabilities are designed to work with kinetic models, including first-order kinetics, to determine constants and predict outcomes.

How do I use this to size a flotation circuit?

You use the estimate_residence_time capability to calculate the time required to reach a specific recovery target.

Where is the MCP hosted?

Vinkius hosts and manages the MCP, so you don't need to set up your own environment to run it.

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.

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.

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.

An astronaut overseeing a futuristic data hub

Download PDF Markdown Version

Connect Flotation Kinetics Modeler 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 mineral recovery and optimize circuit residence times.

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.

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.

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 Flotation Kinetics Model.

01
Calculate kinetic parameters
This capability extracts fundamental kinetic constants from your experimental recovery-time datasets.
02
Estimate residence time
Use this to find the specific amount of time needed in a flotation circuit to hit a target recovery.
03
Predict recovery
This capability calculates the expected recovery percentage at any given point in time based on your kinetic models.
04
Simulate condition impact
This capability evaluates how modifications to flotation conditions will change your kinetic results.

Real work

What teams actually run

Pilot Plant Scaling

Use the kinetic constants from pilot tests to estimate the residence time needed in a full-scale circuit.

Process Optimization

Simulate how adjusting flotation conditions will change the kinetics before making physical changes.

Recovery Forecasting

Predict what the recovery will be at a specific time during a continuous process.

Data Analysis

Turn a list of time and recovery data points into a complete kinetic model.

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.

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.

Observed, not estimated

901ms average. Fast in production.

Flotation Kinetics Model is checked daily against the live service.

Daily averagePeak 979ms

Oct 3Today

Fastest day: 730ms
Slowest day: 979ms
14-day trend: Stable+3%

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.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
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? Set up Flotation Kinetics Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Flotation Kinetics Model owners hand off.

This MCP is built for professionals working in mineral processing and metallurgical engineering.

01
Mineral Processing Engineer
Hands off experimental datasets to the AI to generate kinetic models.
02
Metallurgist
Uses the AI to predict how changes in ore characteristics or conditions will affect recovery.
03
Process Designer
Uses the AI to estimate required residence times for new flotation circuits.

FAQ

Questions Flotation Kinetics Model owners ask.

01
What kind of data does this MCP need?
You need recovery-time datasets, typically consisting of time intervals and the corresponding recovery percentages.
02
Can I use this with Claude or Cursor?
Yes, you can use this MCP with any MCP-compatible client like Claude, Cursor, or Windsurf.
03
Does this MCP handle first-order kinetics?
Yes, the capabilities are designed to work with kinetic models, including first-order kinetics, to determine constants and predict outcomes.
04
How do I use this to size a flotation circuit?
You use the estimate_residence_time capability to calculate the time required to reach a specific recovery target.
05
Where is the MCP hosted?
Vinkius hosts and manages the MCP, so you don't need to set up your own environment to run it.
06
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.
07
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.
08
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.

Explore

More in Engineering

Connect Flotation Kinetics Model to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Calculate kinetic parameters

Estimate residence time

Predict recovery

Simulate condition impact

What teams actually run

Pilot Plant Scaling

Process Optimization

Recovery Forecasting

Data Analysis

Building your own app? The connector is yours to use.

Flotation Kinetics Model Connector

Claude Desktop

Mineral Processing Engineer

Metallurgist

Process Designer

What kind of data does this MCP need?

Can I use this with Claude or Cursor?

Does this MCP handle first-order kinetics?

How do I use this to size a flotation circuit?

Where is the MCP hosted?

How do I calculate kinetic constants from my experimental data?

Can I simulate the effect of increasing reagent dosage?

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

Fermentation Kinetics Model AI Connector

Leaching Kinetics Model AI Connector

Process Control Strategy AI Connector

Column Flotation Design AI Connector

Suggestions

Modelbit (ML Model Deployments) AI Connector

Wine Aging Kinetics Predictor AI Connector

MindsDB (AI Database & Predictors) AI Connector

Nitrogen Mineralization Predictor AI Connector