AutopilotMonitor
Reduces Autopilot deployment failures and troubleshooting time by providing real-time visibility into enrollment health and automated diagnostics, critical f…
Windows Autopilot & Intune enrollment monitoring: live session timelines, fleet health, diagnostics, and an MCP server for AI-assisted troubleshooting.
- Ask Claude to analyze enrollment failures across your device fleet using live session data.
- Generate diagnostic reports for individual Autopilot devices stuck in deployment.
- Automate troubleshooting of Intune enrollment issues by querying session timelines.
Reduces Autopilot deployment failures and troubleshooting time by providing real-time visibility into enrollment health and automated diagnostics, critical for enterprises managing large device fleets.
IT operations teams and infrastructure engineers managing Windows Autopilot and Intune device deployments at scale.
https://github.com/okieselbach/AutopilotMonitor
By okieselbach
How to Get It
claude plugins install okieselbach/AutopilotMonitor
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:
Analyze enrollment failures across my device fleet using live session data
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): 37 GitHub stars; contributors unknown; 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): 37 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.