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 pzfreo · MCP Server · ★ 75
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is build123d-mcp safe to install? View the security audit →
build123d-mcp An MCP (Model Context Protocol) server that exposes build123d CAD operations as tools, enabling AI assistants to build, inspect, and iterate on 3D geometry interactively. Why When using an AI to write build123d scripts, the AI writes blind — it cannot see the geometry it produces. This server closes the feedback loop: the AI can create geometry, render views, query dimensions, and catch errors incrementally rather than writing complete scripts and hoping they are correct. Tools Core — run build123d Python code in a persistent session; use to register named parts — clear session back to empty state (namespace, shapes, snapshots) Geometry inspection — full geometric summary: volume, area, topology, bounding box, centre of mass, inertia tensor, face-type inventory — minimum distance
| Stars | 75 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.7553991640753/100 |
| Open Issues | 56 |
| Last Updated | 2026-09-04 |
| Created | 2026-04-30 |
| Platforms | mcp, python |
| Est. Tokens | ~17k |
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build123d-mcp is MCP server for build123d to improve AI cognition when creating 3D CAD models. It is categorized as a MCP Server with 75 GitHub stars.
build123d-mcp is primarily written in Python. It covers topics such as ai-tools, build123d, cad.
You can find installation instructions and usage details in the build123d-mcp GitHub repository at github.com/pzfreo/build123d-mcp. The project has 75 stars and 11 forks, indicating an active community.
build123d-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to build123d-mcp on Agent Skills Hub include skene, MCP-Defender, mcp-fusion. 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.
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