What equipment can this MCP model?

This MCP is designed for modeling hydrocyclones and screens used in particle separation.

Can I use this with Claude or Cursor?

Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

What is the fish hook effect simulation?

The simulate_fish_hook_impact capability predicts how this specific effect alters the recovery of fine particles in your model.

Does this MCP handle stream distributions?

Yes, the predict_equipment_performance capability forecasts the size distribution for both underflow and overflow streams.

How do I get separation metrics?

You can use the calculate_separation_metrics capability to evaluate quality based on your feed and partition data.

How can I model the separation quality of my hydrocyclone?

You can use calculate_separation_metrics after generating a partition curve with analyze_partition_curve to determine sharpness and efficiency.

What is the fish hook effect in classification?

The fish hook effect is a deviation in the partition curve where fine particles are recovered unexpectedly. You can simulate this using simulate_fish_hook_impact.

Can I predict the output of my equipment?

Yes, use predict_equipment_performance to forecast the resulting size distribution of both underflow and overflow streams.

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Connect Classification Efficiency Model to your AI

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 particle separation and equipment performance with precision.

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 Classification Efficiency Model.

01
Analyze partition curve
This capability generates the probability distribution for particle recovery across various sizes.
02
Calculate separation metrics
Use this to evaluate classification quality based on your feed and partition data.
03
Predict equipment performance
This capability forecasts the resulting size distribution for both underflow and overflow streams.
04
Simulate fish hook impact
This capability predicts how the fish hook effect changes the expected recovery of fine particles.

Real work

What teams actually run

Hydrocyclone Optimization

Predict how changes in feed will affect the underflow and overflow size distributions.

Screening Performance Analysis

Evaluate the efficiency of screen separation using partition curve data.

Fine Particle Recovery Modeling

Simulate the fish hook effect to see how it impacts the recovery of small particles.

Circuit Design Verification

Use predicted stream distributions to validate new classification equipment setups.

One connector, every AI

Classification Efficiency 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 Classification Efficiency 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

925ms average. Fast in production.

Classification Efficiency Model is checked daily against the live service.

Daily averagePeak 1037ms

Oct 3Today

Fastest day: 710ms
Slowest day: 1037ms
14-day trend: Improving-7%

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 Classification Efficiency Model, so you can see the experience inside your AI.

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

Classification Efficiency Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_5pNTjDgbH4eCuHno2KPr05OCaMrerZ9GQLBiCKj9/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 — Classification Efficiency Model capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "classification-efficiency-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_5pNTjDgbH4eCuHno2KPr05OCaMrerZ9GQLBiCKj9/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 Classification Efficiency Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Classification Efficiency Model owners hand off.

This MCP is built for engineers working in mineral processing and particle size analysis.

01
Process Engineers
They hand off complex mathematical modeling and performance forecasting to the AI.
02
Metallurgists
They use the capability to evaluate the efficiency of separation circuits.
03
Mining Consultants
They use the modeling capabilities to predict equipment behavior for client sites.

FAQ

Questions Classification Efficiency Model owners ask.

01
What equipment can this MCP model?
This MCP is designed for modeling hydrocyclones and screens used in particle separation.
02
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.
03
What is the fish hook effect simulation?
The simulate_fish_hook_impact capability predicts how this specific effect alters the recovery of fine particles in your model.
04
Does this MCP handle stream distributions?
Yes, the predict_equipment_performance capability forecasts the size distribution for both underflow and overflow streams.
05
How do I get separation metrics?
You can use the calculate_separation_metrics capability to evaluate quality based on your feed and partition data.
06
How can I model the separation quality of my hydrocyclone?
You can use calculate_separation_metrics after generating a partition curve with analyze_partition_curve to determine sharpness and efficiency.
07
What is the fish hook effect in classification?
The fish hook effect is a deviation in the partition curve where fine particles are recovered unexpectedly. You can simulate this using simulate_fish_hook_impact.
08
Can I predict the output of my equipment?
Yes, use predict_equipment_performance to forecast the resulting size distribution of both underflow and overflow streams.

Explore

More in Engineering

Connect Classification Efficiency 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

Analyze partition curve

Calculate separation metrics

Predict equipment performance

Simulate fish hook impact

What teams actually run

Hydrocyclone Optimization

Screening Performance Analysis

Fine Particle Recovery Modeling

Circuit Design Verification

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

Classification Efficiency Model Connector

Claude Desktop

Process Engineers

Metallurgists

Mining Consultants

What equipment can this MCP model?

Can I use this with Claude or Cursor?

What is the fish hook effect simulation?

Does this MCP handle stream distributions?

How do I get separation metrics?

How can I model the separation quality of my hydrocyclone?

What is the fish hook effect in classification?

Can I predict the output of my equipment?

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