Hand off CAD to your agent.

Install

python3.12 -m venv .venv
source .venv/bin/activate
pip install 'agentcad[mcp]'

agentcad currently supports Python 3.10–3.12.

CLI-only (no MCP server): pip install agentcad

Prefer uv? uv tool install --python 3.12 'agentcad[mcp]' also works.

Source: github.com/jdilla1277/agentcad (Apache-2.0).

See it in action

Watch one Claude session build the 1903 Wright Flyer end to end.

Case study · 2026

234 parts. Built with prompts.

A 3D reconstruction of the 1903 Wright Flyer, faithful to the Christman measured drawings, written in Python with agentcad.

See it in action →

Made with agentcad

Each of these was designed by an AI agent using a single prompt.

How it works

What the agent sees, runs, and hands back.

{
  "command": "run",
  "status":  "success",
  "metrics": {
    "dimensions": {
      "x": 6480.8,
      "y": 12293.6,
      "z": 1999.9
    },
    "volume":     305738441.28,
    "face_count": 684,
    "is_valid":   true
  }
}

How it works

Designed for human–agent collaboration.

Every run returns metrics and a render. The agent reads both — and catches its own mistakes before they reach you.

See the loop →

What it does

Agents write bad geometry on the first try. agentcad gives them a tight feedback loop — run, render, inspect, fix — so they converge on printable geometry without you babysitting.

Execute

— run scripts, produce versioned STEP files + geometric metrics

Render

— PNG views from any angle for visual verification

Export

— STL, GLB, OBJ for 3D printing and web viewers

Validate

— pre-execution checks catch errors in <100ms

Inspect

— topology report for debugging geometry issues

Diff

— compare versions to track design iteration

Try it

Install the open-source package, then paste this prompt into Claude Code, Cursor, or any coding agent:

Create a Python 3.12 virtual environment, then:

pip install agentcad[mcp]
agentcad skill install
agentcad --help

Read the --help output — it's your operational briefing.

Then design me a phone stand: a simple angled cradle
that holds a phone at 60 degrees. About 80mm wide,
50mm deep, with a 5mm lip at the bottom to keep the
phone from sliding. Show me a preview when you're done.

No boilerplate

Scripts need zero imports. build123d primitives, show_object, and agentcad edit helpers are pre-injected:

box = Box(10, 20, 5)
show_object(box)

MCP integration

Add to .mcp.json for Claude Code, Cursor, or Windsurf. Works without a prior install — uvx caches the environment on first run:

{
  "agentcad": {
    "command": "uvx",
    "args": ["--from", "agentcad[mcp]", "python", "-m", "agentcad.mcp"]
  }
}

Agent skill

The open-source CLI ships with an installable agent skill on skills.sh (Vercel) and ClawHub (OpenClaw):

npx skills add jdilla1277/agentcad-skill

clawhub install jdilla1277/agentcad

Listing: clawhub.ai/jdilla1277/agentcad · Manifest: github.com/jdilla1277/agentcad-skill · Source: github.com/jdilla1277/agentcad