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zw008/VMware-Monitor

by Various

Read-only VMware vCenter/ESXi monitoring — code-level enforced safety, zero destructive operations

MCP

zw008/VMware-Monitor

Added 7 June 2026

#agent-skills #ai-skill #aiops #claude-code #codex #esxi #gemini-cli #homelab

Overview

A read-only Python tool for monitoring VMware vCenter and ESXi hosts. It enforces code-level safety to prevent any destructive operations, making it suitable for inspection and alerting without risk of accidental changes.

Best for

Best for
Developers and ops teams needing a safe, read-only monitoring tool for VMware environments.

Use cases

  • Monitor vCenter and ESXi health and performance metrics
  • Audit VM configurations and resource usage
  • Integrate with alerting pipelines for infrastructure observability

How to use

Install

npx skills add zw008/VMware-Monitor

Tools exposed

  • vmware-monitor
  • cluster_health_summary
  • cross_vcenter_attention
  • vm_investigation_bundle
  • host_investigation_bundle
  • datastore_investigation_bundle
  • list_virtual_machines
  • inventory networks
  • list_all_networks
  • health sensors
  • get_host_sensors
  • health services
  • get_host_services
  • vm snapshot-list
  • vm_list_snapshots

Tested with

Claude Code, Cursor, Codex, Gemini CLI, Trae, Continue

Notes

A read-only Python tool for monitoring VMware vCenter and ESXi hosts. It enforces code-level safety to prevent any destructive operations, making it suitable for inspection and alerting without risk of accidental changes.

8 stars on GitHub. Last updated 2026-06-07. Licensed MIT.

Use cases

  • Monitor vCenter and ESXi health and performance metrics
  • Audit VM configurations and resource usage
  • Integrate with alerting pipelines for infrastructure observability

Pros

  • Read-only design eliminates risk of accidental modifications
  • Lightweight Python implementation easy to extend or embed
  • Focused on monitoring without unnecessary complexity

Cons

  • Limited to monitoring; no management or remediation capabilities
  • Small community and low star count may indicate sparse documentation
  • Requires Python environment and vCenter/ESXi credentials

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

Pros

  • Read-only design eliminates risk of accidental modifications
  • Lightweight Python implementation easy to extend or embed
  • Focused on monitoring without unnecessary complexity

Cons

  • Limited to monitoring; no management or remediation capabilities
  • Small community and low star count may indicate sparse documentation
  • Requires Python environment and vCenter/ESXi credentials
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