Hansatic MCP — load planning for AI agents

Give your AI agent the ability to pack trucks and shipping containers. This MCP server wraps the Hansatic packing API: submit a cargo manifest, get back a physically valid layout — placements with rotation, stacking, fragility, weight and axle constraints respected — plus the freight billing metrics that matter: LDM (loading meters), linear feet, and EUR pallet positions.

"Pack 14 machine crates and 8 EUR pallets into a 13.6m curtainsider" → a validated 3D load plan with 5.25 LDM, in one tool call.

Setup

1. Get an API key (free): hansatic.com → sign in → click your name → API → Generate key. Every account includes 25 free sandbox packs/month — no subscription needed to try it.

2. Add the server to your MCP client:

Claude Code

claude mcp add hansatic -e HANSATIC_API_KEY=hk_live_... -- npx -y hansatic-mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "hansatic": {
      "command": "npx",
      "args": ["-y", "hansatic-mcp"],
      "env": { "HANSATIC_API_KEY": "hk_live_..." }
    }
  }
}

Cursor (.cursor/mcp.json) — same shape as Claude Desktop.

Tools

Notes

• Units: metric (mm/kg) by default; pass units: "imperial" for in/lb — results come back in the same units.
• Sandbox vs production: non-enterprise keys sandbox automatically (full result, nothing persisted). Enterprise keys create a real plan in the workspace, editable at the returned plan_url.
• The engine is validated continuously against real dispatcher layouts — see how the algorithm is measured.
• REST API, OpenAPI spec and full docs: hansatic.com/en/docs

MIT licensed. The optimization engine runs server-side at hansatic.com.