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Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

VMware VKS

zw008/vmware-vks
1STDIOregistry active
Summary

Connects Claude to VMware vSphere 8.x Workload Management APIs and Supervisor Kubernetes endpoints to provision and manage Tanzu Kubernetes clusters. Exposes 20 tools split across supervisor status checks, vSphere namespace lifecycle (create, update quotas, delete with guard rails), and TanzuKubernetesCluster operations including creation with dry-run previews, worker scaling, version upgrades, and kubeconfig extraction. Uses pyVmomi for vCenter REST calls and the Kubernetes Python client against the Supervisor API, auto-detecting cluster.x-k8s.io v1 or v1beta1. Best for platform teams managing containerized workloads on vSphere who need namespace provisioning, TKC deployments, and day-2 cluster operations accessible through natural language. Community project by a VMware engineer, not an official Broadcom release.

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VMware VKS

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

MCP Skill + CLI for VMware vSphere Kubernetes Service (VKS) management — Supervisor clusters, vSphere Namespaces, and VKS Cluster lifecycle. 20 MCP tools.

License: MIT

Companion Skills

Part of the VMware MCP Skills family. Each skill handles a distinct domain — install only what you need.

SkillScopeToolsInstall
vmware-aiops ⭐ entry pointVM lifecycle, deployment, guest ops, clusters31uv tool install vmware-aiops
vmware-monitorRead-only monitoring, alarms, events, VM info8uv tool install vmware-monitor
vmware-storageDatastores, iSCSI, vSAN11uv tool install vmware-storage
vmware-nsxNSX networking: segments, gateways, NAT, IPAM31uv tool install vmware-nsx-mgmt
vmware-nsx-securityDFW microsegmentation, security groups, Traceflow20uv tool install vmware-nsx-security
vmware-ariaAria Ops metrics, alerts, capacity planning18uv tool install vmware-aria

Prerequisites

  • Python 3.10+ — required for uv tool install
  • vSphere 8.0+ — Workload Management (Supervisor) APIs require vSphere 8.x
  • Workload Management enabled — WCP must be enabled on at least one compute cluster
  • License — vSphere Kubernetes Service (Enterprise Plus or VMware Cloud Foundation)

Run vmware-vks check after setup to verify all requirements are met.

Quick Start

# Install
uv tool install vmware-vks

# Configure
mkdir -p ~/.vmware-vks
cp config.example.yaml ~/.vmware-vks/config.yaml
# Edit config.yaml with your vCenter host and username

echo "VMWARE_MY_VCENTER_PASSWORD=your_password" > ~/.vmware-vks/.env
chmod 600 ~/.vmware-vks/.env

# Verify
vmware-vks check

# Common operations
vmware-vks supervisor status domain-c1
vmware-vks namespace list
vmware-vks tkc list
vmware-vks tkc create my-cluster -n dev --version v1.28.4+vmware.1 --vm-class best-effort-large
vmware-vks tkc create my-cluster -n dev --apply

Common Workflows

Deploy a New TKC Cluster

  1. Check compatibility → vmware-vks check
  2. List available K8s versions → vmware-vks tkc versions -n dev
  3. Create namespace (if needed) → vmware-vks namespace create dev --cluster domain-c1 --storage-policy <policy-id> --cpu 16000 --memory 32768 --apply (get the policy ID from vmware-vks supervisor storage-policies)
  4. Create TKC cluster → vmware-vks tkc create dev-cluster -n dev --version v1.28.4+vmware.1 --control-plane 1 --workers 3 --vm-class best-effort-large --apply
  5. Get kubeconfig → vmware-vks kubeconfig get dev-cluster -n dev

Scale Workers for Load Testing

  1. Check current state → vmware-vks tkc get dev-cluster -n dev
  2. Scale up → vmware-vks tkc scale dev-cluster -n dev --workers 6
  3. Monitor progress → vmware-vks tkc get dev-cluster -n dev (watch phase)
  4. Scale back down after test

Namespace Resource Management

  1. List namespaces → vmware-vks namespace list
  2. Check usage → vmware-vks storage -n dev
  3. Update quota → vmware-vks namespace update dev --cpu 32000 --memory 65536

Tool Reference (20 tools)

Supervisor

ToolDescriptionType
check_vks_compatibilityvCenter version check + WCP statusRead
get_supervisor_statusSupervisor cluster status and K8s API endpointRead
list_supervisor_storage_policiesvCenter storage policies (policy ID, name, description)Read

Namespace

ToolDescriptionType
list_namespacesAll vSphere Namespaces with statusRead
get_namespaceNamespace detail (quotas, storage, roles)Read
create_namespaceCreate Namespace with dry-run previewWrite
update_namespaceModify quotas and storage policyWrite
delete_namespaceDelete with TKC guard (rejects if clusters exist)Write
list_vm_classesAvailable VM classes for TKC sizingRead

TKC

ToolDescriptionType
list_tkc_clustersTanzuKubernetesCluster list with statusRead
get_tkc_clusterCluster detail (nodes, health, conditions)Read
get_tkc_available_versionsSupported K8s versions on SupervisorRead
create_tkc_clusterCreate TKC with YAML plan + dry-run defaultWrite
scale_tkc_clusterScale worker node countWrite
upgrade_tkc_clusterUpgrade K8s versionWrite
delete_tkc_clusterDelete with workload guardWrite

Access

ToolDescriptionType
get_supervisor_kubeconfigSupervisor kubeconfig YAMLRead
get_tkc_kubeconfigTKC kubeconfig (stdout or file)Read
get_harbor_infoEmbedded Harbor registry info (id, cluster, version, URL, health, storage used)Read
list_namespace_storage_usagePVC list and capacity statsRead

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 API version auto-detected:
        prefers v1 when Supervisor serves it, falls back to v1beta1 for vSphere 8.0)
      Kubeconfig built in-memory from Layer 1 session token (no temp file on disk)
  ↓
vCenter Server 8.x+ (Workload Management enabled)
  ↓
Supervisor Cluster → vSphere Namespaces → TanzuKubernetesCluster

CLI Reference

# Pre-flight diagnostics
vmware-vks check

# Supervisor
vmware-vks supervisor status <cluster-id>
vmware-vks supervisor storage-policies

# Namespace
vmware-vks namespace list
vmware-vks namespace get <name>
vmware-vks namespace create <name> --cluster <id> --storage-policy <policy>
vmware-vks namespace create <name> --cluster <id> --storage-policy <policy> --apply
vmware-vks namespace update <name> [--cpu <mhz>] [--memory <mib>]
vmware-vks namespace delete <name>
vmware-vks namespace vm-classes

# VKS Cluster
vmware-vks tkc list [-n <namespace>]
vmware-vks tkc get <name> -n <namespace>
vmware-vks tkc versions -n <namespace>
vmware-vks tkc create <name> -n <namespace> [--version <v>] [--vm-class <c>]
vmware-vks tkc create <name> -n <namespace> --apply
vmware-vks tkc scale <name> -n <namespace> --workers <n>
vmware-vks tkc upgrade <name> -n <namespace> --version <v>
vmware-vks tkc delete <name> -n <namespace>

# Kubeconfig
vmware-vks kubeconfig supervisor -n <namespace>
vmware-vks kubeconfig get <cluster-name> -n <namespace> [-o <path>]

# Harbor & Storage
vmware-vks harbor
vmware-vks storage -n <namespace>

MCP Server

After uv tool install vmware-vks, start the MCP server with one command (v1.5.15+):

# Recommended — single command, no network re-resolve
vmware-vks mcp

# With a custom config path
VMWARE_VKS_CONFIG=/path/to/config.yaml vmware-vks mcp

Agent Configuration

Add to your AI agent's MCP config:

{
  "mcpServers": {
    "vmware-vks": {
      "command": "vmware-vks",
      "args": ["mcp"],
      "env": {
        "VMWARE_VKS_CONFIG": "~/.vmware-vks/config.yaml"
      }
    }
  }
}
Alternative: uvx (no install) or legacy entry point
# Run without installing (requires PyPI access each launch)
uvx --from vmware-vks vmware-vks mcp

# Legacy entry point (still works, kept for backward compatibility)
vmware-vks-mcp

Behind a corporate TLS proxy? uvx may fail with invalid peer certificate: UnknownIssuer. Use the recommended vmware-vks mcp form above (no network needed), or set UV_NATIVE_TLS=true.

Safety

FeatureDescription
Read-heavy12/20 tools are read-only
Dry-run defaultcreate_namespace, create_tkc_cluster, delete_namespace, delete_tkc_cluster all default to dry_run=True
TKC guarddelete_namespace rejects if TKC clusters exist inside
Workload guarddelete_tkc_cluster rejects if Deployments/StatefulSets are running
Credential safetyPasswords only from environment variables (.env file), never in config.yaml
In-memory kubeconfigSupervisor/TKC kubeconfig (with vCenter session bearer token) is built as an in-memory dict and loaded via load_kube_config_from_dict() — never written to a temp file on disk (v1.5.18+)
Audit loggingAll write operations logged to ~/.vmware-vks/audit.log
stdio transportNo network listener; MCP runs over stdio only

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 policies first: vmware-vks supervisor storage-policies, then pass the Policy ID column value (not the display name) as --storage-policy.

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.

Version Compatibility

vSphere / VCFSupportNotes
9.0 / 9.1⚠ Not yet verifiedWorkload Management (Supervisor / WCP) API surface in vSphere 9 has not been tested by maintainers. Existing vSphere 8.x code paths should work but no guarantees until a lab run is completed — basic CRUD likely works, corner cases may need testing. File issues with check_vks_compatibility output if you run this on VCF 9.
8.0+FullWorkload Management APIs available
7.xNot supportedWCP API surface is different; use vSphere 8.x

Official Broadcom References

  • SDKs: https://developer.broadcom.com/sdks — VCF Python SDK (unified SDK in VCF 9+)
  • REST APIs: https://developer.broadcom.com/xapis — vSphere Automation API (Workload Management endpoints)
  • CLI Tools: https://developer.broadcom.com/tools — kubectl-vsphere, PowerCLI 9.1

Related Projects

SkillScopeToolsInstall
vmware-aiops ⭐ entry pointVM lifecycle, deployment, guest ops, clusters31uv tool install vmware-aiops
vmware-monitorRead-only monitoring, alarms, events, VM info8uv tool install vmware-monitor
vmware-storageDatastores, iSCSI, vSAN11uv tool install vmware-storage
vmware-nsxNSX networking: segments, gateways, NAT, IPAM31uv tool install vmware-nsx-mgmt
vmware-nsx-securityDFW microsegmentation, security groups, Traceflow20uv tool install vmware-nsx-security
vmware-ariaAria Ops metrics, alerts, capacity planning18uv tool install vmware-aria

License

MIT

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Agent, run crypto. Access onchain data & trade routes via 1inch.
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Registryactive
Packagevmware-vks
TransportSTDIO
UpdatedJun 8, 2026
View on GitHub