Vmware Vks

VMware VKS

> Disclaimer: This is a community-maintained open-source project and is not affiliated with, endorsed by, or sponsored by VMware, Inc. or Broadcom Inc. "VMware" and "vSphere" are trademarks of Broadcom. Source code is publicly auditable at github.com/zw008/VMware-VKS under the MIT license.

AI-powered VMware vSphere Kubernetes Service (VKS) management — 20 MCP tools.

> Requires vSphere 8.x+ with Workload Management enabled. > Companion skills: vmware-aiops (VM lifecycle), vmware-monitor (monitoring), vmware-storage (storage), vmware-nsx (NSX networking), vmware-nsx-security (DFW/firewall), vmware-aria (metrics/alerts/capacity), vmware-avi (AVI/ALB/AKO), vmware-harden (compliance baselines). > | vmware-pilot (workflow orchestration) | vmware-policy (audit/policy)

What This Skill Does

| Category | Capabilities | Count | |----------|-------------|:-----:| | Supervisor | Compatibility check, status, storage policies | 3 | | Namespace | List, get, create with quotas, update, delete with TKC guard, VM classes | 6 | | TKC Clusters | List, get, versions, create, scale, upgrade, delete with workload guard | 7 | | Access | Supervisor kubeconfig, TKC kubeconfig, Harbor registry, storage usage | 4 |

Quick Install

uv tool install vmware-vks
vmware-vks doctor

When to Use This Skill

Use companion skills for:

Related Skills — Skill Routing

| User Intent | Recommended Skill | |-------------|------------------| | Read-only monitoring | vmware-monitor | | Storage: iSCSI, vSAN | vmware-storage | | VM lifecycle, deployment | vmware-aiops | | vSphere Kubernetes Service (vSphere 8.x+) | vmware-vks ← this skill | | NSX networking: segments, gateways, NAT | vmware-nsx | | NSX security: DFW rules, security groups | vmware-nsx-security | | Aria Ops: metrics, alerts, capacity planning | vmware-aria | | Multi-step workflows with approval | vmware-pilot | | Compliance baselines (CIS / 等保 / PCI-DSS), drift detection, LLM remediation advisor | vmware-harden (uv tool install vmware-harden) | | Load balancer, AVI, ALB, AKO, Ingress | vmware-avi (uv tool install vmware-avi) | | Audit log query | vmware-policy (vmware-audit CLI) |

Common Workflows

Deploy a New TKC Cluster

Pre-flight (judgment):

Steps: 1. vmware-vks supervisor check --target prod → must pass 2. vmware-vks tkc versions -n → pick a non-EOL TKR 3. (If new namespace) vmware-vks namespace create dev --storage-policy --cpu --apply --dry-run then real 4. vmware-vks tkc create dev-cluster -n dev --version --control-plane 1 --workers 3 --vm-class best-effort-large --apply --dry-run then real 5. Wait for phase=running (typically 10-15 min); do not assume success on apply return 6. vmware-vks kubeconfig get dev-cluster -n dev -o ./kubeconfig — write to file, do not paste tokens into the agent context

Scale Workers for Load Testing

Judgment: scaling is fast but reverse-scaling is destructive — workers are deleted, in-flight pods lost. Treat scale-down like a delete.

1. tkc get dev-cluster -n dev → record current worker count and any pending pods 2. Scale-up: tkc scale dev-cluster -n dev --workers 6 → safe, additive operation 3. Verify new workers reach Ready in kubectl get nodes before sending traffic 4. Scale-down: drain pods first via kubectl drain on the to-be-deleted nodes, THEN tkc scale --workers 3. Skipping drain causes pod restarts on remaining nodes — measurable user impact. 5. Confirm namespace quota leftover supports the new size — quota is enforced at scheduling, not at scale request

Namespace Resource Management

Judgment: quota changes are atomic but consequences are not. Reducing quota below current usage doesn't evict pods — they keep running, but no new pods schedule, looking like a "namespace is broken" symptom.

1. namespace list → see all namespaces and their phase 2. storage -n dev → check current CPU/memory/storage usage; never reduce quota below current usage + 20% headroom 3. namespace update dev --cpu --memory --dry-run → preview, then real 4. Validate by attempting a small pod scale-up; if it pends with Insufficient cpu, quota is still the bottleneck

Architecture

User (Natural Language)
  ↓
AI Agent (Claude Code / Goose / Cursor)
  ↓ reads SKILL.md
  ↓
vmware-vks CLI  ─── or ───  vmware-vks MCP Server (stdio)
  │
  ├─ Layer 1: pyVmomi → vCenter REST API
  │   Supervisor status, storage policies, Namespace CRUD, VM classes, Harbor
  │
  └─ Layer 2: kubernetes client → Supervisor K8s API endpoint
      TKC CR apply / get / delete  (cluster.x-k8s.io/v1beta1)
      Kubeconfig built from Layer 1 session token
  ↓
vCenter Server 8.x+ (Workload Management enabled)
  ↓
Supervisor Cluster → vSphere Namespaces → TanzuKubernetesCluster

Usage Mode

| Scenario | Recommended | Why | |----------|:-----------:|-----| | Local/small models (Ollama, Qwen) | CLI | ~2K tokens vs ~8K for MCP | | Cloud models (Claude, GPT-4o) | Either | MCP gives structured JSON I/O | | Automated pipelines | MCP | Type-safe parameters, structured output |

MCP Tools (20 — 12 read, 8 write)

All accept optional target parameter to specify a named vCenter.

| Category | Tool | Type | |----------|------|:----:| | Supervisor | check_vks_compatibility | Read | | | get_supervisor_status | Read | | | list_supervisor_storage_policies | Read | | Namespace | list_namespaces | Read | | | get_namespace | Read | | | create_namespace | Write | | | update_namespace | Write | | | delete_namespace | Write | | | list_vm_classes | Read | | TKC | list_tkc_clusters | Read | | | get_tkc_cluster | Read | | | get_tkc_available_versions | Read | | | create_tkc_cluster | Write | | | scale_tkc_cluster | Write | | | upgrade_tkc_cluster | Write | | | delete_tkc_cluster | Write | | Access | get_supervisor_kubeconfig | Read | | | get_tkc_kubeconfig | Read | | | get_harbor_info | Read | | | list_namespace_storage_usage | Read |

create_namespace / create_tkc_cluster — defaults to dry_run=True, returns a YAML plan for review. Pass dry_run=False to apply.

delete_namespace — requires confirmed=True and rejects if TKC clusters still exist (prevents orphaned clusters).

delete_tkc_cluster — requires confirmed=True and checks for running workloads. Rejects if found unless force=True.

Credential handling: get_supervisor_kubeconfig and get_tkc_kubeconfig return short-lived session tokens (not long-lived credentials). Tokens are derived from the authenticated vCenter session and expire when the session ends. Kubeconfig output is intended for local kubectl use — agents should write it to a file (-o ) rather than displaying tokens in conversation context.

> Full capability details and safety features: see references/capabilities.md

CLI Quick Reference

# Supervisor
vmware-vks check [--target ]
vmware-vks supervisor status  [--target ]
vmware-vks supervisor storage-policies [--target ]
Namespace
vmware-vks namespace list [--target ]
vmware-vks namespace get  [--target ]
vmware-vks namespace create  --cluster  [--cpu ] [--memory ] [--storage-policy ] [--apply]
vmware-vks namespace update  [--cpu ] [--memory ] [--target ]
vmware-vks namespace delete  [--target ]
TKC Clusters
vmware-vks tkc list [-n ] [--target ]
vmware-vks tkc create  -n  [--version ] [--workers ] [--vm-class ] [--apply]
vmware-vks tkc scale  -n  --workers  [--target ]
vmware-vks tkc upgrade  -n  --version  [--target ]
vmware-vks tkc delete  -n  [--force] [--target ]
Kubeconfig
vmware-vks kubeconfig supervisor -n  [--target ]
vmware-vks kubeconfig get  -n  [-o ] [--target ]
Harbor & Storage
vmware-vks harbor [--target ]
vmware-vks storage -n  [--target ]

> Full CLI reference with all flags and interactive creation: see references/cli-reference.md

Troubleshooting

"VKS not compatible" error

Workload Management must be enabled in vCenter. Check: vCenter UI → Workload Management. Requires vSphere 8.x+ with Enterprise Plus or VCF license.

Namespace creation fails with "storage policy not found"

List available policies first: vmware-vks supervisor storage-policies. Policy names are case-sensitive.

TKC cluster stuck in "Creating" phase

Check Supervisor events in vCenter. Common causes: insufficient resources on ESXi hosts, network issues with NSX-T, or storage policy not available on target datastore.

Kubeconfig retrieval fails

Supervisor API endpoint must be reachable from the machine running vmware-vks. Check firewall rules for port 6443.

Scale operation has no effect

Verify the cluster is in "Running" phase before scaling. Clusters in "Creating" or "Updating" phase reject scale operations.

Delete namespace rejected unexpectedly

The namespace delete guard prevents deletion when TKC clusters exist inside. Delete all TKC clusters in the namespace first, then retry.

Prerequisites

Setup

uv tool install vmware-vks
mkdir -p ~/.vmware-vks
vmware-vks init

> All tools are automatically audited via vmware-policy. Audit logs: vmware-audit log --last 20

> Full setup guide, security details, and AI platform compatibility: see references/setup-guide.md

Audit & Safety

All operations are automatically audited via vmware-policy (@vmware_tool decorator):

vmware-policy is automatically installed as a dependency — no manual setup needed.

License

MIT — github.com/zw008/VMware-VKS