Oliver Kieselbach ad8dc5f3f6 fix(mcp,backend): correct phase labels, usage timestamps, bad-filter 400
Second batch of pre-release MCP tool audit fixes:

- mcp: get_session_summary phase labels were desynced from the backend
  EnrollmentPhase enum — phases 3-7 were mislabeled (e.g. 7 showed
  "Pre-Provisioning" but is "Complete"; 4 showed "Device ESP" but is
  "Account Setup"). Replaced with the canonical taxonomy (matches the web
  phaseConstants.ts), enrollment-type-aware (phase 3 = Apps (Device) on V1,
  App Installation on V2), plus -1=Unknown / 99=Failed.
- backend: get_usage_metrics reported PlatformStats.lastFullCompute /
  lastUpdated as 0001-01-01 even though the persisted row was fresh -
  UsageMetricsService projected a new PlatformStats and dropped the two
  timestamp fields (defaulted to DateTime.MinValue). Now carried through.
- backend: query_table (TableQueryFunction) now returns 400 with the
  actionable Azure message for an invalid OData filter / bad query input
  (RequestFailedException 400) instead of a generic 500.

Tests: backend targeted suite 31 green; mcp tsc clean + unit suite 52 green.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-27 21:03:34 +02:00
2026-03-17 18:24:01 +01:00
2026-03-26 07:02:33 +01:00
2026-05-07 08:51:22 +02:00

Autopilot Monitor

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Advanced monitoring and troubleshooting solution for Windows Autopilot deployments. Gain full visibility into every enrollment session with a detailed event timeline, fleet health dashboards, and session reporting. Define custom analysis rules to automatically detect issues and gather rules to collect targeted evidence. Retrieve diagnostics packages on demand, configure agent settings like auto-reboot behavior and automatic timezone adjustment — all managed centrally from the web dashboard.

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Overview

Autopilot Monitor provides real-time tracking, intelligent diagnostics, and automated troubleshooting for Windows Autopilot enrollment processes. It consists of:

  • Bootstrap Script — PowerShell script deployed via Intune that starts monitoring early in the enrollment 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 and fleet analytics

Architecture

For detailed information about the system architecture, components, and data flow, see Architecture Documentation.

Documentation

Full documentation is available at autopilotmonitor.com/docs

License

This project uses a split licensing model:

  • MIT License — Agent (src/Agent/) and Shared library (src/Shared/) — unrestricted use on end-user devices
  • AGPL-3.0 — Backend (src/Backend/), Web Dashboard (src/Web/), and MCP Server (src/McpServer/) — server-side components remain open source

See LICENSE for full details.

S
Description
Windows Autopilot & Intune enrollment monitoring: live session timelines, fleet health, diagnostics, and an MCP server for AI-assisted troubleshooting.
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