AI 3D Model Generator

agentcad

Agentcad is an open-source MCP server and CLI that enables AI coding agents to design, render, and export CAD output directly from their coding environment.

What is agentcad?

Agentcad is an open-source CAD tool for AI agents, providing an MCP server and CLI that allow coding agents to generate, validate, and export 3D models through Python scripts, with immediate feedback and geometry validation.

agentcad vs Similar AI Tools

Pricing ModelFreeFree, FreemiumCustom PricingFree, Freemium
Free Credits
Key Features
  • Execute Python CAD scripts to generate versioned STEP files and geometric metrics
  • Render PNG previews from multiple angles for visual verification
  • Export models to STL, GLB, OBJ, and STEP formats
  • Text to 3D model generation
  • Image to 3D model generation
  • AI automatic rigging
  • Agent Memory: Remembers brand colors, tone, creative rules across sessions
  • Specialist Network: Includes specialists for Brand, Storyboard, Illustration, UI/UX, Video, 3D
  • Skills + Community: Share and reuse creative workflows as Skills
  • Node-based canvas for visual workflow creation
  • Multi-modal support: image, video, audio, 3D
  • Built-in compositor for client-ready layouts
Pros
  • Open-source and free
  • Integrates with popular coding agents (Claude Code, Cursor, etc.)
  • All-in-one pipeline from concept to animation
  • High-fidelity output with faithful style preservation
  • Agent memory ensures consistency across projects
  • Covers multiple creative formats (images, video, 3D, brand)
  • Intuitive node-based interface
  • Multi-modal support in one canvas
Cons
  • Requires Python environment setup
  • Limited to build123d-based geometry
  • Output quality may vary for complex scenes
  • Limited free tier
  • Pricing not transparent
  • May require learning curve for agent interaction
  • Limited integrations with external design tools
  • Onboarding for advanced workflows could be clearer
Best For
  • AI developers and engineers building agent-based CAD workflows
  • Developers integrating CAD generation into AI agent pipelines
  • Indie game developers
  • 3D printing enthusiasts
  • Creative agencies needing consistent branding across formats
  • Individual creators looking for a comprehensive AI creative assistant
  • Creative professionals and designers
  • Artists and content creators

How to use agentcad?

  1. 1Create a Python virtual environment with Python 3.12.
  2. 2Install agentcad using pip: pip install 'agentcad[mcp]'
  3. 3Run agentcad skill install to set up the agent skill.
  4. 4Integrate with your coding agent by adding the MCP server configuration.
  5. 5Provide a prompt describing the desired CAD object.
  6. 6The agent will generate the Python script, agentcad executes it and returns metrics and previews.
  7. 7Iterate on the design using feedback until the geometry is valid.

agentcad Key Features

  • Execute Python CAD scripts to generate versioned STEP files and geometric metrics
  • Render PNG previews from multiple angles for visual verification
  • Export models to STL, GLB, OBJ, and STEP formats
  • Pre-execution geometry validation in under 100ms
  • Topology inspection for debugging geometry issues
  • Version diffing to track design iteration changes

agentcad Use Cases

  • Rapid prototyping of mechanical parts with AI assistance
  • Generating custom enclosures and housings for electronics
  • Creating 3D models for 3D printing from natural language prompts
  • Exploring CAD design through agent collaboration in educational settings

agentcad Pricing & Free Credits

agentcad currently operates on a Free model.

This tool is completely free to use

Free

$0

Open-source and free to use. No signup required.

agentcad Pros & Cons

Pros

  • Open-source and free
  • Integrates with popular coding agents (Claude Code, Cursor, etc.)
  • Provides immediate feedback and validation
  • Supports multiple export formats
  • No signup required
  • Runs locally, preserving privacy

Cons

  • Requires Python environment setup
  • Limited to build123d-based geometry
  • May require understanding of CAD concepts for complex designs
  • Agent proficiency can vary

What is agentcad best for?

  • AI developers and engineers building agent-based CAD workflows
  • Developers integrating CAD generation into AI agent pipelines
  • Hobbyists wanting to create 3D models through natural language prompts

agentcad FAQ

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