AIops-tools/Endpoint-AIops

Overview

Python tool for governed AI-ops on managed-endpoint fleets such as thin clients and VDI. It analyzes login storms and configuration drift, and includes an audit, budget, undo, and risk-tier harness for controlled operations.

Best for

Best for
IT operations teams managing thin client or VDI fleets with governance requirements

Use cases

• Analyze login storms on VDI fleets
• Detect configuration drift across thin clients
• Apply changes with audit, budget, and rollback controls

How to use

Tools exposed

• igel-ums

Tested with

Claude Code

Notes

Python tool for governed AI-ops on managed-endpoint fleets such as thin clients and VDI. It analyzes login storms and configuration drift, and includes an audit, budget, undo, and risk-tier harness for controlled operations.

0 stars on GitHub. Last updated 2026-09-12. Licensed MIT.

Use cases

• Analyze login storms on VDI fleets
• Detect configuration drift across thin clients
• Apply changes with audit, budget, and rollback controls

Pros

• Includes governance controls (audit, budget, undo, risk tiers)
• Focused on managed-endpoint operations
• Python-based, easy to integrate

Cons

• No stars or community traction yet
• Narrow scope to thin clients and VDI
• No evidence of active maintenance

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.