AgentCAD
Open-source CAD tool for coding agents to design, render, and export real manufacturable 3D models locally.
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Product Overview
What is AgentCAD?
AgentCAD is an open-source MCP server and CLI tool that enables AI coding agents like Claude Code, Codex, Cursor, and OpenClaw to create real CAD output. Instead of generating broken geometry that requires human oversight, AgentCAD gives coding agents a tight feedback loop where they can run scripts, render models from any angle, inspect topology, and catch their own mistakes before humans see them. The tool exports STEP, STL, GLB, and OBJ files ready for 3D printing or manufacturing, all while running locally without requiring signup or subscriptions.
Key Features
AI Agent CAD Design
Coding agents write build123d or CadQuery scripts to create manufacturable parts, then use AgentCAD to verify geometry is watertight and dimensionally correct.
Execute and Render
Every run produces versioned STEP files with geometric metrics and PNG views from any angle for visual verification by the agent.
Multi-Format Export
Export models as STL, GLB, OBJ, or STEP files ready for 3D printing, web viewers, or manufacturing without additional conversion.
Fast Validation
Pre-execution checks catch geometry errors in under 100ms, allowing agents to fix broken code before it reaches users.
Zero Boilerplate
Scripts need no imports—build123d primitives, show_object, and AgentCAD edit helpers are pre-injected for immediate use.
Version Diffing
Compare design versions to track iteration progress and understand how geometry changes across multiple agent runs.
Use Cases
- 3D Printing Preparation : Hobbyists and makers can prompt AI agents to design custom parts that export directly as STL files ready for 3D printing.
- Mechanical Part Design : Engineers can use coding agents to create manufacturable mechanical components with precise dimensions and watertight geometry.
- Prototyping and Iteration : Product designers can rapidly iterate on concepts by having agents generate multiple design versions with visual feedback.
- Educational Projects : Students learning CAD or programming can prompt agents to build 3D models like the 1903 Wright Flyer with 234 parts from a single prompt.
- Custom Accessories : Users can create practical items like phone stands, holders, or organizators by describing what they need to an AI coding agent.
FAQs
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