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VMware VKS

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View Repository

vSphere with Tanzu (VKS): Namespace and TanzuKubernetesCluster lifecycle. Requires vSphere 8.x+.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "vmware-vks": {
      "command": "npx",
      "args": [
        "-y",
        "vmware-vks"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

VMware VKS

Author: Wei Zhou, VMware by Broadcom β€” 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 | δΈ­ζ–‡

MCP Skill + CLI for VMware vSphere Kubernetes Service (VKS) management β€” Supervisor clusters, vSphere Namespaces, and VKS Cluster lifecycle. 23 MCP tools.

License: MIT

Companion Skills

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

SkillScopeToolsInstall
vmware-aiops ⭐ entry pointVM lifecycle, deployment, guest ops, clusters49uv tool install vmware-aiops
vmware-monitorRead-only monitoring, alarms, events, VM info27uv tool install vmware-monitor
vmware-storageDatastores, iSCSI, vSAN11uv tool install vmware-storage
vmware-nsxNSX networking: segments, gateways, NAT, IPAM33uv tool install vmware-nsx-mgmt
vmware-nsx-securityDFW microsegmentation, security groups, Traceflow21uv tool install vmware-nsx-security
vmware-ariaAria Ops metrics, alerts, capacity planning28uv tool install vmware-aria

Prerequisites

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

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

Quick Start

bash
# 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

# One password env var per target, named after the target in config.yaml:
# target "vcenter01" (the one config.example.yaml ships) -> VMWARE_VKS_VCENTER01_PASSWORD
echo "VMWARE_VKS_VCENTER01_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

Offline / Air-Gapped Install (from source)

This project uses the modern PEP 517 build system (hatchling), so there is no setup.py by design β€” that is expected, not a missing file. If you cloned the source and hit ERROR: File "setup.py" or "setup.cfg" not found ... editable mode currently requires a setuptools-based build, your pip is older than 21.3 and cannot do an editable (-e) install with a non-setuptools backend. Editable mode is a developer convenience, not needed to run the tool β€” do one of:

bash
# From the source tree β€” a normal (non-editable) install builds a wheel:
pip install .              # NOT  pip install -e .

# ...or upgrade pip first, and editable works too:
pip install --upgrade pip && pip install -e .

For a truly air-gapped host, build the wheels on a connected machine and copy them over β€” the target then needs no network:

bash
# On a connected machine, collect this package + its dependencies as wheels:
pip wheel . -w dist        # β†’ dist/*.whl   (or: uv build, for just this package)

# Copy dist/ to the air-gapped host, then install offline:
pip install --no-index --find-links dist vmware-vks

Common Workflows

Deploy a New TKC Cluster

  1. Check compatibility β†’ vmware-vks check
  2. List available K8s versions β†’ vmware-vks tkc versions -n dev
  3. Create namespace (if needed) β†’ 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 β†’ 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 β†’ vmware-vks kubeconfig get dev-cluster -n dev

Scale Workers for Load Testing

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

Namespace Resource Management

  1. List namespaces β†’ vmware-vks namespace list
  2. Check usage β†’ vmware-vks storage -n dev
  3. Update quota β†’ 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)Write
get_harbor_infoEmbedded Harbor registry info (id, cluster, version, URL, health, storage used)Read
list_namespace_storage_usagePVC list and capacity statsRead

Architecture

Code
User (Natural Language)
  ↓
AI Agent (Claude Code / Goose / Cursor)
  ↓ reads SKILL.md
  ↓
vmware-vks CLI  ─── or ───  vmware-vks MCP Server (stdio)
  β”‚
  β”œβ”€ Layer 1: pyVmomi (/sdk) + vSphere Automation REST (/api)
  β”‚   Supervisor status, storage policies, Namespace CRUD, VM classes, Harbor
  β”‚   Two session stores: the SOAP session from SmartConnect, and a separate
  β”‚     REST session id from POST /api/session (vmware-api-session-id header)
  β”‚
  └─ Layer 2: kubernetes client β†’ 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 the POST /wcp/login bearer token
        (a third credential, and no temp file on disk)
  ↓
vCenter Server 8.x+ (Workload Management enabled)
  ↓
Supervisor Cluster β†’ vSphere Namespaces β†’ TanzuKubernetesCluster

CLI Reference

bash
# 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+):

bash
# Recommended β€” 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:

config.json
{
  "mcpServers": {
    "vmware-vks": {
      "command": "vmware-vks",
      "args": ["mcp"],
      "env": {
        "VMWARE_VKS_CONFIG": "~/.vmware-vks/config.yaml"
      }
    }
  }
}
Alternative: uvx (no install) or legacy entry point
bash
# 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

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about VMware VKS

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "vmware-vks": { "command": "npx", "args": ["-y", "VMware VKS"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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