Vmware Aiops

VMware AIops

AI-powered VMware vCenter and ESXi operations tool. Manage your entire VMware infrastructure using natural language through any AI coding assistant.

Need read-only monitoring only? Use VMware-Monitor — an independent repository with code-level safety (zero destructive code in the codebase). Install: clawhub install vmware-monitor

When to Use This Skill

• Query VM, host, datastore, cluster, and network inventory
• Check health status, active alarms, hardware sensors, and event logs
• Perform VM lifecycle operations: power on/off, create, delete, snapshot, clone, migrate
• Monitor vSAN health, capacity, disk groups, and performance
• Access Aria Operations (VCF Operations) for historical metrics, anomaly detection, and capacity planning
• Manage vSphere Kubernetes Service (VKS) clusters
• Run scheduled scanning with webhook notifications (Slack, Discord)

Quick Install

Works with Claude Code, Cursor, Codex, Gemini CLI, Trae, Kimi, and 30+ AI agents:

# Via ClawHub (recommended)
clawhub install vmware-aiops

# Via Skills.sh
npx skills add zw008/VMware-AIops

Claude Code

/plugin marketplace add zw008/VMware-AIops
/plugin install vmware-ops
/vmware-ops:vmware-aiops

Usage Mode: MCP First, CLI Fallback

Default: MCP mode — vmware-aiops runs as an MCP Server registered in the AI tool. All queries and operations go through MCP tool calls directly, no manual CLI needed.

Fallback: CLI mode — only when MCP connection fails (server crash, config error, etc.), switch to CLI commands via vmware-aiops in the terminal.

MCP Tools (9 tools)

All tools accept optional target parameter (e.g., "home-esxi", "prod-vcenter").

MCP Setup (Claude Code)

Add to ~/.claude/settings.json:

{
  "mcpServers": {
    "vmware-aiops": {
      "command": "/path/to/VMware-AIops/.venv/bin/python",
      "args": ["-m", "mcp_server"],
      "cwd": "/path/to/VMware-AIops",
      "env": {
        "VMWARE_AIOPS_CONFIG": "~/.vmware-aiops/config.yaml"
      }
    }
  }
}

When to Fall Back to CLI

• MCP server fails to start or crashes mid-session
• Need operations not yet exposed via MCP (create, delete, snapshot, clone, migrate, vSAN, Aria, VKS)
• Need daemon/scan features (scan now, daemon start)
• Debugging connection issues (CLI gives more verbose output)

# Activate venv and run CLI
source /path/to/VMware-AIops/.venv/bin/activate
vmware-aiops inventory vms --target home-esxi

Architecture

User (Natural Language)
  ↓
AI CLI Tool (Claude Code / Gemini / Codex / Aider / Continue / Trae / Kimi)
  ↓
  ├─ MCP mode (default): MCP Server (stdio) ──→ pyVmomi ──→ vSphere API
  │
  └─ CLI fallback: vmware-aiops CLI ──→ pyVmomi ──→ vSphere API
  ↓
vCenter Server ──→ ESXi Clusters ──→ VMs
    or
ESXi Standalone ──→ VMs

Capabilities

1. Inventory

2. Health & Monitoring

Monitored Event Types:

3. VM Lifecycle

4. vSAN Management

Requires pyVmomi 8.0.3+ (vSAN SDK merged). For older versions, install the standalone vSAN Management SDK.

5. Aria Operations (VCF Operations)

REST API at /suite-api/. Auth: vRealizeOpsToken. Rebranded as VCF Operations in VCF 9.0.

6. vSphere Kubernetes Service (VKS)

Kubernetes-native API via kubectl/kubeconfig. VKS 3.6+ uses Cluster API specification.

7. Scheduled Scanning & Notifications

Safety Features

Version Compatibility

pyVmomi auto-negotiates the API version during SOAP handshake — no manual configuration needed.

Supported AI Platforms

CLI Reference

# Inventory
vmware-aiops inventory vms [--target <name>]
vmware-aiops inventory hosts [--target <name>]
vmware-aiops inventory datastores [--target <name>]
vmware-aiops inventory clusters [--target <name>]

# Health
vmware-aiops health alarms [--target <name>]
vmware-aiops health events [--hours 24] [--severity warning]

# VM Operations
vmware-aiops vm info <vm-name>
vmware-aiops vm power-on <vm-name>
vmware-aiops vm power-off <vm-name> [--force]
vmware-aiops vm create <name> [--cpu <n>] [--memory <mb>] [--disk <gb>]
vmware-aiops vm delete <vm-name> [--confirm]
vmware-aiops vm reconfigure <vm-name> [--cpu <n>] [--memory <mb>]
vmware-aiops vm snapshot-create <vm-name> --name <snap-name>
vmware-aiops vm snapshot-list <vm-name>
vmware-aiops vm snapshot-revert <vm-name> --name <snap-name>
vmware-aiops vm snapshot-delete <vm-name> --name <snap-name>
vmware-aiops vm clone <vm-name> --new-name <name>
vmware-aiops vm migrate <vm-name> --to-host <host>

# vSAN
vmware-aiops vsan health [--target <name>]
vmware-aiops vsan capacity [--target <name>]
vmware-aiops vsan disks [--target <name>]
vmware-aiops vsan performance [--hours 1]

# Aria Operations
vmware-aiops ops alerts [--severity critical]
vmware-aiops ops metrics <resource-name> [--hours 24]
vmware-aiops ops recommendations [--target <name>]
vmware-aiops ops capacity <cluster-name>

# VKS (Kubernetes)
vmware-aiops vks clusters [--namespace default]
vmware-aiops vks health <cluster-name>
vmware-aiops vks scale <machine-deployment> --replicas <n>
vmware-aiops vks nodes <cluster-name>

# Scanning & Daemon
vmware-aiops scan now [--target <name>]
vmware-aiops daemon start
vmware-aiops daemon stop
vmware-aiops daemon status

Setup

# 1. Install via uv (recommended) or pip
uv tool install vmware-aiops
# Or: pip install vmware-aiops

# 2. Configure
mkdir -p ~/.vmware-aiops
vmware-aiops init  # generates config.yaml and .env templates
chmod 600 ~/.vmware-aiops/.env
# Edit ~/.vmware-aiops/config.yaml and .env with your target details

Development Install

git clone https://github.com/zw008/VMware-AIops.git
cd VMware-AIops
uv venv && source .venv/bin/activate
uv pip install -e .

License

MIT