AI-powered VMware vCenter/ESXi VM lifecycle and deployment with 31 MCP tools.
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io.github.vmware-skills/vmware-aiops is an MCP server that AI-powered VMware vCenter/ESXi VM lifecycle and deployment with 31 MCP tools. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 63/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"vmware-aiops": {
"env": {
"VMWARE_AIOPS_CONFIG": "~/.vmware-aiops/config.yaml"
},
"args": [
"mcp"
],
"command": "vmware-aiops"
}
}
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Author: Wei Zhou, VMware by Broadcom — wei-wz.zhou@broadcom.com > This is a community-driven project by a VMware engineer, not an official VMware product. > For official VMware developer tools see developer.broadcom.com.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'skills' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked skills against OSV.dev.
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Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.
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Author: Wei Zhou, VMware by Broadcom — wei-wz.zhou@broadcom.com This is a community-driven project by a VMware engineer, not an official VMware product. For official VMware developer tools see developer.broadcom.com.
English | 中文
AI-powered VMware vCenter/ESXi VM lifecycle and deployment tool — 60 tools.
Companion skills handle everything else:
Skill Scope Install vmware-monitor Read-only: inventory, health, alarms, events, metrics uv tool install vmware-monitorvmware-storage Datastores, iSCSI, vSAN management uv tool install vmware-storagevmware-vks Tanzu Namespaces, TKC cluster lifecycle uv tool install vmware-vksNeed read-only monitoring only? Use VMware-Monitor — zero destructive code in the codebase.
Triage → investigate → act, all in one conversation. Five opinionated read-only reports aggregate and correlate server-side and hand back a high-signal result (never raw inventory), so you can decide where to look before changing anything. Each renders a self-contained offline HTML snapshot with --html (no external assets; drill-down detail collapses in native <details>, zero JavaScript). All delegate to the vmware-monitor library using AIops's own vCenter connection.
| Question | Command | What it correlates |
|---|---|---|
| "What needs attention now?" across all vCenters | vmware-aiops attention | Every vCenter merged into one globally-ranked issue list; unreachable targets degrade gracefully |
| "Is anything on fire?" across all clusters | vmware-aiops summary | Every cluster's hosts + VM power + live CPU/mem + alarms → ranked top-N issues + per-cluster status |
| "What's happening around this VM?" | vmware-aiops investigate vm <name> | VM state + host + cluster + backing datastores + snapshots + alarms + performance + a merged event timeline |
| "What's happening around this host?" | vmware-aiops investigate host <name> | Host state + cluster + the VMs it runs + mounted datastores + alarms + performance + correlated timeline |
| "What's happening around this datastore?" | vmware-aiops investigate datastore <name> | Capacity/free + mounting hosts + VMs it backs + alarms + correlated timeline |
vmware-aiops attention # what needs attention now, all vCenters
vmware-aiops investigate vm web-01 --hours 72 # everything around a VM, then act on it
vmware-aiops investigate vm web-01 --html # → offline snapshot in ~/vmware-health/
Via MCP these are the tools cluster_health_summary, cross_vcenter_attention, vm_investigation_bundle, host_investigation_bundle, datastore_investigation_bundle. (Requires vmware-monitor installed.)
Works with Claude Code, Cursor, Codex, Gemini CLI, Trae, and 30+ AI agents:
# Via Skills.sh
npx skills add vmware-skills/VMware-AIops
# Via ClawHub
clawhub install vmware-aiops
# Install via uv (recomme
... [View full README on GitHub](https://github.com/vmware-skills/vmware-aiops#readme)