container-loading

MCP serverAI & models

Get a load plan for containers, trucks, and pallets by describing the shipment in plain English. Once added, your AI works out how items should fit and returns a link to a 3D plan. You can open the plan to see the arrangement before anything gets loaded.

Use container-loading in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add container-loading and connect your AI. About a minute.

Claude ChatGPT Ahel Desktop

Also: Claude Code · Cursor · Codex

Then ask your AI: use container-loading

Needs your own container-loading account. You sign in to it and approve access when you connect.

Details

Available today. Use it from your connected AI after setup.

After adding it, describe what you are loading and where it needs to fit in plain English. Open the 3D plan link your AI returns to review the packing.

container-loadingStart free

What your AI can do with it

Plan loads for containers, trucks, and pallets
Create a load plan from a plain-English description
Get a 3D plan link showing how items fit together
Describe shipments in everyday language instead of technical inputs

Install container-loading

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

Claude Code
claude mcp add --transport http --scope user container-loading 'https://3dpack.ing/mcp'
Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://3dpack.ing/mcp
Add a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=container-loading&config=eyJ1cmwiOiJodHRwczovLzNkcGFjay5pbmcvbWNwIn0=
Open the link and Cursor adds the server at that address.
ChatGPT
https://3dpack.ing/mcp
In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add container-loading --url 'https://3dpack.ing/mcp'
Run it once, then sign in with codex mcp login container-loading if the server asks for an account.

From the project's README

As published by onurgumus/3dpacking-mcp in README.md. This repository publishes several servers, so only the opening is shown here.

Container and truck load planning for AI assistants. Describe a shipment in plain English; get back the containers it fits in, how full each one is, what did not fit, and a link to an interactive 3D load plan.

Backed by the 3DPACK.ING solver — the same one behind the web planner. Asked "will 500 cartons fit in a 40-foot", an assistant without this will do arithmetic on volumes, which ignores stacking rules, orientation and weight limits and overstates what fits by a wide margin on real cargo.

Install

Hosted (no install)

The server runs at https://3dpack.ing/mcp over streamable HTTP. Add the address to your assistant and sign in with your 3DPACK.ING account when it asks — OAuth, the way Claude, ChatGPT and Claude Code connect to any service. A free account works, on its free monthly packs.

Claude (web, desktop): Settings → Connectors → Add custom connector → paste https://3dpack.ing/mcp and choose sign-in.

ChatGPT (developer mode): add the same address with OAuth.

Claude Code:

claude mcp add --transport http 3dpacking https://3dpack.ing/mcp
# then /mcp → Authenticate

Shortened here. Read the whole README on GitHub.

Signals

Last commit: Sep 2026
Weekly downloads: 42
Weekly_downloads: 49 weekly_downloads

Advanced

Delivery: container-loading MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type: mcp-server
Key: ing-3dpack-container-loading
Source: github.com/onurgumus/3dpacking-mcp
Hosted endpoint: https://3dpack.ing/mcp

github.com/onurgumus/3dpacking-mcp

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