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 DMontgomery40 · MCP Server · ★ 225
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-3D-printer-server safe to install? View the security audit →
Thank You To FULU And Louis Rossmann Thank you to the FULU Foundation and Louis Rossmann for standing up for consumer ownership, open source developers, repair rights, and users who should not have working hardware made worse by locked-down software. This MCP server treats the FULU OrcaSlicer-bambulab fork as a first-class Bambu project slicer target. MCP 3D Printer Server [](https://github.com/yourusername/m
| Stars | 225 |
| Forks | 45 |
| Language | JavaScript |
| Category | MCP Server |
| License | GPL-2.0 |
| Quality Score | 72.1093603030113/100 |
| Last Updated | 2026-07-30 |
| Created | 2025-02-26 |
| Platforms | mcp, node |
| Est. Tokens | ~24k |
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mcp-3D-printer-server is Connects MCP to major 3D printer APIs (Orca, FULU's Orca/Bambu, OctoPrint, Klipper, Duet, Repetier, Prusa, Creality). Control prints, monitor status, and perform advanced STL operations like scaling, . It is categorized as a MCP Server with 225 GitHub stars.
mcp-3D-printer-server is primarily written in JavaScript. It covers topics such as 3d-printing, 3mf, bambu-lab.
You can find installation instructions and usage details in the mcp-3D-printer-server GitHub repository at github.com/DMontgomery40/mcp-3D-printer-server. The project has 225 stars and 45 forks, indicating an active community.
mcp-3D-printer-server is released under the GPL-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcp-3D-printer-server on Agent Skills Hub include Kiln, bambu-studio-ai, threejs-devtools-mcp. 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: