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 jdilla1277 · MCP Server · ★ 131
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentcad safe to install? View the security audit →
agentcad CAD tool for AI agents. Give your coding agent the ability to design 3D models. Your agent writes CadQuery or build123d Python scripts. agentcad handles execution, STEP export, PNG rendering, mesh export (STL/GLB/OBJ), geometric metrics, validation, diffing, and browser preview. All command output is structured JSON. agentcad is open source under the Apache License 2.0. It runs locally and requires no signup. Demo A coding agent designing in agentcad, live. See more at agentcad.dev. Quick start Install agentcad, then paste this into Claude Code, Cursor, or any coding agent: What it does — execute a build123d o
| Stars | 131 |
| Forks | 15 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 73.127133860535/100 |
| Open Issues | 38 |
| Last Updated | 2026-09-19 |
| Created | 2026-06-02 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~14k |
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agentcad is CAD CLI and MCP server for AI agents. It is categorized as a MCP Server with 131 GitHub stars.
agentcad is primarily written in Python. It covers topics such as ai-agents, build123d, cad.
You can find installation instructions and usage details in the agentcad GitHub repository at github.com/jdilla1277/agentcad. The project has 131 stars and 15 forks, indicating an active community.
agentcad is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agentcad on Agent Skills Hub include build123d-mcp, cad-cae-copilot, vestige. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: