CAD/CAE Copilot

Most AI CAD tools stop when a picture appears. CAD/CAE Copilot turns an engineering spec into real, editable, verifiable CAD — and keeps every artifact reproducible.

An AI-native CAD/CAE/CAX workbench. An MCP-capable agent writes real build123d / OpenCASCADE geometry, exports STEP/STL/GLB, names the parts, exposes stable topology pointers, runs a deterministic critique, and can continue into CAE — all preserved in one reproducible .aieng package.

You bring your own MCP client (e.g. Claude Code, Codex, Copilot, Cursor), which carries its own model access. The aieng backend itself needs no API key.

Quick Start · CAD Examples · Why aieng · MCP Setup · Agent Guide

_{English | 中文}

_{Real STEP/STL/GLB · Editable parameters · Named parts · Stable topology pointers · Deterministic critique · CAD → CAE artifacts · Approval-gated actions}

Quick start

Three ways in — pick one and you're modeling in minutes.

Before you start: you need your own MCP client (Claude Code, OpenAI Codex, GitHub Copilot, Cursor, …) with its own model access. The aieng backend itself needs no API key — your agent connects to it over MCP and drives the workbench through its own harness.

For a first try, Docker (Option 2) is the most reliable — it pins the build123d / OpenCASCADE / CalculiX stack so nothing has to compile on your machine. The local dev install is best once you intend to hack on the code.

Option 1: GitHub Codespaces (fastest, zero install)

Click "Open in GitHub Codespaces" above. The environment sets itself up; when it finishes loading, run make dev (or python3 scripts/dev.py if make is unavailable). Then connect an agent and paste the motor mounting fixture prompt, or the shorter bracket prompt:

Create a 120 × 80 × 12 mm machined bearing support bracket with a centered
Ø42 mm horizontal bearing bore, four Ø10 mm base mounting holes, and two
mirrored gussets. Preserve the exact dimensions, expose editable parameters,
verify the final geometry, and run the deterministic engineering critique.

Inspect the generated model, named parts, verification results, and stable @face:* references in the workbench.

Option 2: Docker all-in-one (recommended local package)

Packages the backend, built viewer, MCP HTTP server, build123d / OpenCASCADE dependencies, and CalculiX into one container.

Quick start with Docker Compose (recommended):

docker compose up -d

Or build and run manually:

docker build -t aieng/workbench:local .
docker run --rm -it -p 8000:8000 -p 8765:8765 -v aieng-data:/data aieng/workbench:local

Open the viewer at http://localhost:8000/app/ and point an MCP-over-HTTP client at http://localhost:8765/sse. Projects and .aieng packages persist in the aieng-data volume. The container enables AIENG_MCP_MANAGED_APPROVAL=1 by default, so approval-gated CAD/CAE tools surface through the workbench UI.

Option 3: Local developer install

Best when

... View full README on GitHub