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okieselbach/AutopilotMonitor

okieselbach/AutopilotMonitor

Windows Autopilot & Intune enrollment monitoring: live session timelines, fleet health, diagnostics, and an…
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Official descriptionWindows Autopilot & Intune enrollment monitoring: live session timelines, fleet health, diagnostics, and an MCP server for AI-assisted troubleshooting.
Star count
70 ★ · okieselbach/AutopilotMonitor · read from the repository page · (checked 2026-10-16 20:00:20)
Source
read directly from its GitHub page · type: open-source project
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 12× · listed by 1 sources
Score
score 103 · 70 ★ · 1 sources · repo
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repository okieselbach/AutopilotMonitor;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
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Autopilot Monitor

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Autopilot Monitor is an open-source, real-time monitoring and troubleshooting platform for **Windows Autopilot** and **Microsoft Intune** enrollment. It records enrollment events, application installations, policies, device state, and diagnostics while provisioning is still running, instead of collecting logs by hand after a failure. Administrators get live enrollment tracking, Enrollment Status Page (ESP) visibility, detailed session timelines, automated issue detection, on-demand diagnostics, fleet health analytics, and AI-assisted troubleshooting through a hosted Model Context Protocol (MCP) server.
The platform supports classic Windows Autopilot and modern Intune provisioning scenarios, including **Windows Autopilot Device Preparation**.
Availability
Autopilot Monitor is **publicly available** — the Community plan is free. Sign in with your work account at **autopilotmonitor.com**; new organizations complete a short activation step after first sign-in.
Key Features
- **Real-time Windows Autopilot monitoring** — follow device provisioning while enrollment is still running
- **Detailed enrollment timelines** — correlate Autopilot, ESP, Intune Management Extension, apps, policies, device state, and system events
- **Enrollment Status Page visibility** — see which phase, application, or policy is delaying provisioning
- **Automated issue detection** — define custom analysis rules that identify known failure patterns
- **Targeted evidence collection** — gather registry values, event log entries, files, log-parser matches, and allow-listed commands when specific conditions are detected
- **On-demand diagnostics** — request diagnostics packages from enrolled devices remotely
- **Fleet health analytics** — success rates, deployment duration, device models, applications, errors, and recurring issues
- **Session reporting** — inspect and share detailed enrollment information for individual devices
- **Windows Autopilot Device Preparation support** — monitor Device Preparation deployments alongside classic Autopilot scenarios
- **Centralized agent configuration** — control diagnostic behavior, automatic reboots, timezone adjustment, and other monitoring settings from the web dashboard
- **AI-assisted troubleshooting** — query enrollment data through the built-in Model Context Protocol server
How it works
Autopilot Monitor consists of several components working together throughout Windows enrollment:
- **Bootstrap Script** — PowerShell script deployed through Microsoft Intune that starts monitoring early in the provisioning process
- **Monitoring Agent** — lightweight .NET application that collects telemetry and evidence during enrollment
- **Backend API** — Azure Functions-based ingestion and processing pipeline
- **Web Dashboard** — Next.js application for real-time monitoring, troubleshooting, and fleet analytics
- **MCP Server** — Model Context Protocol server that lets AI assistants query Autopilot Monitor data in natural language
Windows Autopilot and Intune Troubleshooting
Autopilot Monitor helps investigate common Windows provisioning and enrollment problems such as:
- Windows Autopilot deployments that fail or appear stuck
Source
github · https://github.com/okieselbach/AutopilotMonitor
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