Kiln
Bridges AI design intent to physical 3D printing execution, eliminating manual model export/slicing steps.
Describe it or draw it. Kiln makes it real. — 750+ MCP tools for AI agents to design, generate, slice, and print 3D models. Supports OctoPrint, Moonraker/Klipper, Creality, Bambu Lab, Prusa Link, Elegoo, and Direct USB.
- Generate parametric parts from spec, auto-slice, send to Bambu Lab printer.
- Iterate rapid prototypes: describe change, regenerate model, print next batch.
- Batch-print customized components from CSV specs to multiple Klipper machines.
Bridges AI design intent to physical 3D printing execution, eliminating manual model export/slicing steps. Supports 750+ tools across major printer ecosystems (Bambu, Prusa, Klipper, OctoPrint, Creality, Elegoo).
Hardware teams and product developers who need to iterate 3D designs programmatically and push directly to production printers without manual intervention.
https://github.com/codeofaxel/Kiln
By codeofaxel
How to Get It
claude plugins install codeofaxel/Kiln
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate parametric parts from spec, auto-slice, send to Bambu Lab printer
Trust Signals Auto-scanned
Community Pulse Quiet
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 40 GitHub stars; 5 contributors; last commit 0d ago; license AGPL-3.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- License (AGPL-3.0) may restrict commercial use. Check with your legal team.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 40 GitHub stars; 5 contributors; last commit 0d ago; license AGPL-3.0.