What metals can this MCP model?

The MCP is designed for modeling the kinetics of gold and base metals.

How does the MCP handle ore mineralogy?

It uses the analyze_mineralogy_impact capability to evaluate how specific compositions affect leaching difficulty.

Can I predict how long a leach cycle will take?

Yes, the predict_leach_time capability estimates the time required to reach a specific metal extraction target.

What kind of data do I need to provide for kinetic parameters?

You need to provide experimental recovery data, including time and recovery percentages.

Does this MCP work with Claude or Cursor?

Yes, it works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

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.

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.

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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Connect Leaching Kinetics 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. Predict extraction times and kinetic parameters for metal recovery.

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.

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 Leaching Kinetics Model.

01
Get kinetic parameters
This capability calculates fundamental kinetic constants like rate constants and activation energy from your experimental recovery data.
02
Predict leach time
Use this to estimate the specific duration required to reach a target metal extraction level.
03
Simulate leach profile
This capability generates a theoretical recovery curve over time based on your specific process conditions.
04
Analyze mineralogy impact
This capability evaluates how the specific mineral composition of an ore affects the difficulty of the leaching process.

Real work

What teams actually run

Process Optimization

Determine if a leaching process is limited by reaction or diffusion to adjust reactor settings.

Ore Characterization

Assess how silicate or other mineral content will slow down gold extraction.

Production Planning

Estimate the time needed to reach target recovery levels for scheduled batches.

Theoretical Modeling

Generate recovery curves to compare experimental results against theoretical expectations.

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.

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.

Observed, not estimated

917ms average. Fast in production.

Leaching Kinetics Model is checked daily against the live service.

Daily averagePeak 1079ms

Oct 3Today

Fastest day: 703ms
Slowest day: 1079ms
14-day trend: Slowing+18%

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.

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 — 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? Set up Leaching Kinetics Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Leaching Kinetics Model owners hand off.

This MCP is built for professionals in the mining and metallurgical sectors who need to model chemical extraction processes.

01
Metallurgical Engineers
They hand off experimental recovery data to the AI to get rapid kinetic parameter calculations.
02
Mining Engineers
They use the capability to predict how different ore mineralogies will affect extraction timelines.
03
Process Chemists
They use the simulation capabilities to model theoretical recovery curves under varying conditions.

FAQ

Questions Leaching Kinetics Model owners ask.

01
What metals can this MCP model?
The MCP is designed for modeling the kinetics of gold and base metals.
02
How does the MCP handle ore mineralogy?
It uses the analyze_mineralogy_impact capability to evaluate how specific compositions affect leaching difficulty.
03
Can I predict how long a leach cycle will take?
Yes, the predict_leach_time capability estimates the time required to reach a specific metal extraction target.
04
What kind of data do I need to provide for kinetic parameters?
You need to provide experimental recovery data, including time and recovery percentages.
05
Does this MCP work with Claude or Cursor?
Yes, it works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
06
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.
07
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.
08
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.

Explore

More in Analytics

Connect Leaching 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

Get kinetic parameters

Predict leach time

Simulate leach profile

Analyze mineralogy impact

What teams actually run

Process Optimization

Ore Characterization

Production Planning

Theoretical Modeling

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

Leaching Kinetics Model Connector

Claude Desktop

Metallurgical Engineers

Mining Engineers

Process Chemists

What metals can this MCP model?

How does the MCP handle ore mineralogy?

Can I predict how long a leach cycle will take?

What kind of data do I need to provide for kinetic parameters?

Does this MCP work with Claude or Cursor?

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

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

How does mineralogy affect the leaching results?

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