Prusa Connect

SkillFiles & storage

Lets your agent check Prusa Connect status for your 3D printers, including jobs, files, cameras, and uploads.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Prusa Connect skill

About this skill

Read Prusa Connect cloud state for Prusa 3D printers: printers, jobs, files, cameras, stats, plus file upload. Trigger phrases: prusa connect, prusa printer, prusa job, prusa camera.

What this skill tells your AI

The instructions your AI receives, as published by anil-matcha/awesome-muse-connectors in connectors/prusa-connect/SKILL.md and read by ahel’s review.

Purpose

Read Prusa 3D printer state through the official Prusa Connect cloud API: list printers and their state, list jobs and files, view cameras, read print statistics, and upload gcode files to printer storage. Use when the user mentions Prusa Connect or a networked Prusa printer (MK3/MK4/CORE One).

Tooling

All commands go through bin/prusa-connect.py.

bin/prusa-connect.py auth          # verify the API token
bin/prusa-connect.py printers      # printers and their state
bin/prusa-connect.py jobs          # jobs and their status
bin/prusa-connect.py files         # files in printer storage
bin/prusa-connect.py files --printer-id 12345
bin/prusa-connect.py cameras       # printer cameras
bin/prusa-connect.py stats         # print statistics

# MEDIUM, untested payload: --confirm "<exact effect>" on first use per printer
bin/prusa-connect.py upload --path ./benchy.gcode \
    --confirm "upload benchy.gcode to Prusa Connect printer storage"

Job pause/resume/cancel/restart are deliberately not shipped (see Maturity): the CLI will not guess their paths.

Auth

  • Provider id: prusa-connect (credential is collected as custom.prusa-connect)
  • Collection: personal API token ("Access token") created in the Prusa Connect web UI under Settings > API Access, stored via the secure credential flow (credentials.request_api_access); sent as Authorization: Bearer <token>
  • Allowed hosts: connect.prusa3d.com
  • Status check: bin/prusa-connect.py auth (must return "ok": true)

Operating Rules

  1. Reads (auth, printers, jobs, files, cameras, stats) need no confirmation.
  2. upload is a MEDIUM actuation (it writes to printer storage): it needs --confirm naming the exact effect on first use per printer. The upload payload is untested in this build, so verify the file landed in the Prusa Connect web UI before starting a print from it.
  3. Job pause/resume/cancel/restart are not available in this CLI. Do not improvise paths for them; the open item below explains why.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the token value.

Files

  • SKILL.md
  • bin/prusa-connect.py

Maturity

🧪 Draft: written from the Prusa Connect API surface; not yet live-tested end-to-end.

Honesty flags: the read paths (/api/printers, /api/jobs, /api/files, /api/cameras, /api/stats) and the POST /api/files upload path are pinned in the documented API surface, but the exact write-endpoint paths for job pause/resume/cancel/restart could not be pinned from the official docs or the community SDK mirror at build time (2026-09-16), so they are deliberately not shipped. The upload payload shape is a standard multipart form and is untested; verify uploads in the web UI. This connector never guesses paths: anything unpinned stays out until it can be verified.

Signals

GitHub stars
1k
Forks
281
Last commit
Sep 2026
Advanced
Item type
skill
Key
prusa-connect
Source
github.com/anil-matcha/awesome-muse-connectors