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VMware VKS logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 11:00:52 AM

VMware VKS

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View Repository5 GitHub StarsTotal stargazers on GitHub for the source repository (5 stars).Visit Website
vmwarevkskubernetesvspherecloud-platforms

Manage VMware vSphere Kubernetes Service supervisors, namespaces, and Tanzu Kubernetes Clusters through MCP.

Quick Install

Automated & IDE Setup

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

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "zw008-vmware-vks": {
      "command": "uvx",
      "args": [
        "--from"
      ]
    }
  }
}

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

Install Tool Schemas (20) Directory Badge Claim listing Alternatives☁️ More in Cloud Platforms

Overview

VMware VKS provides MCP tools and a CLI for managing Supervisor clusters, vSphere Namespaces, and Tanzu Kubernetes Cluster lifecycles. Use it when operating VKS on vSphere 8.0+ with Workload Management enabled. The project is community-driven and is not an official VMware product.

Use cases

•Check vCenter compatibility and Supervisor status
•Create and update vSphere Namespaces with quotas and storage policies
•Create, scale, upgrade, and delete Tanzu Kubernetes Clusters
•Export Supervisor or cluster kubeconfig files
•Inspect Harbor details and namespace storage usage

Key features

•Supervisor cluster status and compatibility checks
•Namespace lifecycle and resource management
•TKC lifecycle management with version and VM class discovery
•Dry-run plans for namespace and cluster creation
•Deletion guards for namespaces and clusters with workloads
•Kubeconfig export and storage usage reporting

Capabilities & Tool Schemas (20) ~284 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by VMware VKS.

check_vks_compatibility

vCenter version check + WCP status

get_supervisor_status

Supervisor cluster status and K8s API endpoint

list_supervisor_storage_policies

vCenter storage policies (policy ID, name, description)

list_namespaces

All vSphere Namespaces with status

get_namespace

Namespace detail (quotas, storage, roles)

create_namespace

Create Namespace with dry-run preview

Documentation Overview

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. 23 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, 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+ — 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

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 — 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 — do one of:

bash
# From the source tree — 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 — the target then needs no network:

bash
# On a connected machine, collect this package + its dependencies as wheels:
pip wheel . -w dist        # → 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 → 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 (credential; only when you need cluster access) → vmware-vks kubeconfig get dev-cluster -n dev -o ./kubeconfig — writes an owner-only file instead of printing the token

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 — credential (bearer token); inline or owner-only fileWrite
get_tkc_kubeconfigTKC kubeconfig — credential (bearer token); inline or owner-only fileWrite
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)
  │
  ├─ Layer 1: pyVmomi (/sdk) + vSphere Automation REST (/api)
  │   Supervisor status, storage policies, Namespace CRUD, VM classes, Harbor
  │   Two session stores: the SOAP session from SmartConnect, and a separate
  │     REST session id from POST /api/session (vmware-api-session-id header)
  │
  └─ 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 the POST /wcp/login bearer token
        (a third credential, and no temp file on disk)
  ↓
vCenter Server 8.x+ (Workload Management enabled)
  ↓
Supervisor Cluster → vSphere Namespaces → 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> [-o <path>]
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 — 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

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
5
Stargazers on the source repository.
Last commit
6d ago
Most recent push to the default branch.
Tools exposed
20
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about VMware VKS

The project requires vSphere 8.0 or later, with Workload Management enabled on at least one compute cluster.

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Technical Specs & Signals

Category☁️Cloud Platforms
PricingFree
More technical detailsExpand ▾
TransportSTDIO
RuntimePython
AuthOther
LicenseMIT
Last updatedSep 5, 2026
8/9 checks healthy over the last 32d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars5
GitHub Star CountTotal stargazers on GitHub representing community popularity (5 stars).
Last commit6d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 5, 2026
59Quality signal: Good · 59/100How this signal is calculated ▾
Server availabilityNot measured

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

Verified ownership10/20
Documentation & tools29/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data — 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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Scanned 22d ago via OSV.dev · --from (PyPI)

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