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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use 2D Guillotine Packer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. It finds the exact coordinates to fit any set of rectangles.

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 · 3 capabilities

The complete 2D Guillotine Packer capability set.

These are the exact actions your AI can choose when you ask it to work with 2D Guillotine Packer.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through 2D Guillotine Packer.

  1. 01

    Calculate packing density

    Calculates how much of the container's total area is occupied by placed items

  2. 02

    Pack rectangles

    Determines if a set of 2D rectangles can fit inside a larger bounding rectangle

  3. 03

    Validate item compatibility

    Performs a quick pre-check to see if any item's intrinsic size makes it impossible to fit

Observed, not estimated

637ms average. Fast in production.

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

Daily averagePeak 1012ms
Aug 20Today
Fastest day
496ms
Slowest day
1012ms
14-day trend
Stable+1%

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.

  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 — 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

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.

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