cad-cae-copilot — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by armpro24-blip · MCP Server · ★ 57

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is cad-cae-copilot safe to install? View the security audit →

About cad-cae-copilot

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 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](#wh

3d-modelingai-cadai-caeai-caxai-engineeringbuild123dcadcaecalculixgenerative-design

Quick Facts

Stars57
Forks17
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score66.7048135155569/100
Open Issues7
Last Updated2026-09-07
Created2026-05-26
Platformsmcp, python
Est. Tokens~19k

Compatible Skills

These tools work well together with cad-cae-copilot for enhanced workflows:

  • sim-plugin-comsol — semantic(0.34)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • sim-cli — semantic(0.43)+complementary+rare_topics+same_lang+shared_platform (59%)
  • build123d-mcp — semantic(0.43)+rare_topics+same_lang+similar_pop+shared_platform (54%)

cad-cae-copilot alternative? Top 6 similar tools

Looking for a cad-cae-copilot alternative? If you're comparing cad-cae-copilot with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • forgent3d by forgent3d · ⭐ 220

    Using AI to generate 3D models

  • agentcad by jdilla1277 · ⭐ 131

    CAD CLI and MCP server for AI agents

  • Autocad-MCP by U-C4N · ⭐ 86

    Production-grade AutoCAD MCP server for AI agents — 122 tools, dual COM (live AutoCAD) + headless ezdxf engine

  • build123d-mcp by pzfreo · ⭐ 75

    MCP server for build123d to improve AI cognition when creating 3D CAD models

  • awesome-ai-cae by kimimgo · ⭐ 55

    A curated list of 100+ AI-ready tools for Computer-Aided Engineering, ranked by an AI-Readiness Score (agent-c

  • enterprise-mcp-course by decodingai-magazine · ⭐ 272

    Learn to build from scratch an AI PR reviewer integrated with GitHub, Slack and Asana that scales within your

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Frequently Asked Questions

What is cad-cae-copilot?

cad-cae-copilot is CAD/CAE Copilot — an AI-native CAD/CAE/CAX workbench for AI agents. Text-to-CAD, text-to-CAE, real build123d/OpenCASCADE geometry, editable parameters, stable topology pointers, deterministic critique. It is categorized as a MCP Server with 57 GitHub stars.

What programming language is cad-cae-copilot written in?

cad-cae-copilot is primarily written in Python. It covers topics such as 3d-modeling, ai-cad, ai-cae.

How do I install or use cad-cae-copilot?

You can find installation instructions and usage details in the cad-cae-copilot GitHub repository at github.com/armpro24-blip/cad-cae-copilot. The project has 57 stars and 17 forks, indicating an active community.

What license does cad-cae-copilot use?

cad-cae-copilot is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to cad-cae-copilot?

The top alternatives to cad-cae-copilot on Agent Skills Hub include forgent3d, agentcad, Autocad-MCP. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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