What kind of problems does this MCP solve?

This MCP solves 2D bin-packing problems. Essentially, it figures out the most efficient way to fit a collection of rectangular shapes into a larger, fixed container.

Does it handle rotated items?

The MCP is designed for rectangular items. While it handles complex geometry, the input must be defined as rectangles for the algorithm to run.

What is the difference between the capabilities?

The pack_rectangles capability finds the coordinates. The calculate_packing_density capability tells you the efficiency percentage of that placement. The validate_item_compatibility capability is just a quick check to see if any item is too big to start with.

Do I need to worry about the container size?

Yes, the container's bounding dimensions are the fixed limits for the entire operation. The MCP uses these boundaries to calculate all placements and densities.

Is this MCP suitable for UI design?

Absolutely. It's ideal for UI layout because it can confirm if all your elements fit within a specific viewport or screen size.

How does the packing algorithm work?

It uses a Guillotine split strategy. The algorithm sorts items by height in descending order and places them into available free rectangles, splitting any remaining space into two new smaller rectangles after each placement.

Can items be rotated to improve fit?

Yes, if the canRotate property is set to true for an item, the algorithm will attempt to swap its width and height if the original orientation does not fit in a free rectangle.

What happens if an item cannot fit?

If any single item in the input list cannot find a suitable free rectangle, the pack_rectangles capability returns a failure status and identifies the specific item ID that caused the error.

An astronaut overseeing a futuristic data hub

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Connect 2D Guillotine Packer to ChatGPT, Claude and Gemini

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. It finds the exact coordinates to fit any set of rectangles.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through 2D Guillotine Packer.

01
Calculate packing density
Calculates how much of the container's total area is occupied by placed items
02
Pack rectangles
Determines if a set of 2D rectangles can fit inside a larger bounding rectangle
03
Validate item compatibility
Performs a quick pre-check to see if any item's intrinsic size makes it impossible to fit

Real work

What teams actually run

Sprite Sheet Generation

Need to pack hundreds of small game assets into one large texture file? This MCP finds the optimal arrangement.

UI Layout Testing

Before deploying a complex screen, use this to confirm that all widgets and elements fit within the available container space.

Material Optimization

If you're cutting wood or metal, this capability determines the best way to lay out pieces on a sheet to minimize waste.

Inventory Packing Simulation

Simulate how many different sized boxes or products can fit into a shipping container.

Automate a task

Put 2D Guillotine Packer to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

2D Guillotine Packer 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 2D Guillotine Packer 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

701ms average. Fast in production.

2D Guillotine Packer is checked daily against the live service.

Daily averagePeak 858ms

Oct 3Today

Fastest day: 506ms
Slowest day: 858ms
14-day trend: Stable+4%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 2D Guillotine Packer, so you can see the experience inside your AI.

It does not authenticate your account with 2D Guillotine Packer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

2D Guillotine Packer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_QE7g1HY0ehCZ2CR6LMkpqQ3mw9PuboVh52TfHu6g/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 — 2D Guillotine Packer capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "2d-guillotine-packer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_QE7g1HY0ehCZ2CR6LMkpqQ3mw9PuboVh52TfHu6g/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 2D Guillotine Packer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work 2D Guillotine Packer owners hand off.

This MCP is critical for developers, designers, and engineers who deal with physical or digital space constraints. If your work involves fitting multiple items into a defined area, this capability saves you from manual geometry calculations.

01
Game Developers
Use it for optimizing sprite sheet generation, ensuring every graphic fits efficiently.
02
UI/UX Designers
Test complex screen layouts to guarantee all elements fit within defined viewport boundaries.
03
Manufacturing Engineers
Optimize material cutting patterns to minimize waste and maximize yield from raw stock.

FAQ

Questions 2D Guillotine Packer owners ask.

01
What kind of problems does this MCP solve?
This MCP solves 2D bin-packing problems. Essentially, it figures out the most efficient way to fit a collection of rectangular shapes into a larger, fixed container.
02
Does it handle rotated items?
The MCP is designed for rectangular items. While it handles complex geometry, the input must be defined as rectangles for the algorithm to run.
03
What is the difference between the capabilities?
The pack_rectangles capability finds the coordinates. The calculate_packing_density capability tells you the efficiency percentage of that placement. The validate_item_compatibility capability is just a quick check to see if any item is too big to start with.
04
Do I need to worry about the container size?
Yes, the container's bounding dimensions are the fixed limits for the entire operation. The MCP uses these boundaries to calculate all placements and densities.
05
Is this MCP suitable for UI design?
Absolutely. It's ideal for UI layout because it can confirm if all your elements fit within a specific viewport or screen size.
06
How does the packing algorithm work?
It uses a Guillotine split strategy. The algorithm sorts items by height in descending order and places them into available free rectangles, splitting any remaining space into two new smaller rectangles after each placement.
07
Can items be rotated to improve fit?
Yes, if the canRotate property is set to true for an item, the algorithm will attempt to swap its width and height if the original orientation does not fit in a free rectangle.
08
What happens if an item cannot fit?
If any single item in the input list cannot find a suitable free rectangle, the pack_rectangles capability returns a failure status and identifies the specific item ID that caused the error.

Explore

More in Utilities

Connect 2D Guillotine Packer 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.

01-03

Calculate packing density

Pack rectangles

Validate item compatibility

What teams actually run

Sprite Sheet Generation

UI Layout Testing

Material Optimization

Inventory Packing Simulation

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

2D Guillotine Packer Connector

Claude Desktop

Game Developers

UI/UX Designers

Manufacturing Engineers

What kind of problems does this MCP solve?

Does it handle rotated items?

What is the difference between the capabilities?

Do I need to worry about the container size?

Is this MCP suitable for UI design?

How does the packing algorithm work?

Can items be rotated to improve fit?

What happens if an item cannot fit?

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