Oliver Kieselbach
841f1ae04c
The get_audit_logs MCP tool could only narrow by tenant + date window, even though the audit entity already stores Action/PerformedBy/EntityType/EntityId. Add exact-match server-side filtering across all three layers so a filtered query never falls back to in-memory scanning. - Shared: AuditLogQueryFilters carrier + extended IMaintenanceRepository - Storage: shared AppendAuditFieldFilters (OData-escaped eq clauses) in both the tenant and global fan-out filter builders; threaded through page + legacy methods - Functions: new shared AuditLogFilterRequest parser folds filters into the pagination fingerprint AND echoes them on nextLink (cross-filter token replay rejected, follow-up pages round-trip), identical for tenant + global - MCP: four optional params on get_audit_logs + pass-through - Tests: AuditLogFieldFilterTests (eq clauses, escaping, coexistence with performer suppression + deletion exclusion, extras ordering) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Autopilot Monitor
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.
Private Preview
Autopilot Monitor is currently running as a Private Preview. Visit autopilotmonitor.com to request access and learn more.
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.