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Kubernetes MCP

Connector Infrastructure Usable

Community MCP server connecting Claude to Kubernetes clusters via kubectl — pod management, deployment scaling, log retrieval, and resource deletion. 1.4K stars.

1,373 starsMIT (commercial OK)FreeNo code needed
Fair rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Kubernetes management is complex and error-prone. AI-assisted K8s operations can accelerate incident response and routine cluster management — with appropriate RBAC constraints in place.

Platform engineers and SREs managing Kubernetes clusters who want AI-assisted troubleshooting, with RBAC configured to limit destructive capabilities.

Claude Code Claude Cowork Claude Chat

https://www.npmjs.com/package/mcp-server-kubernetes

By Flux159 (community)

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add kubernetes -- npx mcp-server-kubernetes

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Prerequisiteskubectl in PATH, valid kubeconfig, cluster access — RBAC scope strongly recommendedTime to functional15 minutesCostFree

Trust Signals Source Reviewed

Stars1,373Contributors42Last updated2026-03-27LicenseMIT (OK for commercial use)Weekly downloads10,088Known CVEsNone found

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Growing

Discussed on Reddit

10 mentions across 1 sources

Reviewer notes

Source Reviewed review. These are observations, not a security certification.

v3.4.0, 69 releases, 1,365 GitHub stars, updated daily. Strong ecosystem signal. However: single individual maintainer limits enterprise trust. Full cluster control including kubectl_delete, kubectl_apply, kubectl_scale, and kubectl_generic (arbitrary kubectl). CRITICAL: use RBAC-scoped kubeconfig. Client readiness tier-3 without governance controls.

Full Kubernetes cluster write access including resource deletion and arbitrary kubectl. An AI agent here could delete namespaces, exfiltrate secrets, or bring down services. Mitigation: scope kubeconfig to read-only ClusterRole. Individual maintainer is supply chain risk. OpenTelemetry auto-instrumentation adds surface area. MIT license. RESTRICTED: Full cluster control including kubectl_delete, kubectl_apply, kubectl_scale. Requires compensating controls (sandboxing, separate accounts, restricted profiles) before team deployment.

2026-04-02: LIMITATION: Full cluster write access including kubectl_delete and arbitrary kubectl commands. A misconfigured AI agent could bring down services or exfiltrate secrets. Requires RBAC-scoped kubeconfig.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
2/5
Versatility
3/5
Reliability
4/5
Security
2/5
Overall score2.75 / 5.00 UsableEvaluatedMar 2026
v3.4.0, 69 releases, 1,365 GitHub stars, updated daily. Strong ecosystem signal. However: single individual maintainer limits enterprise trust. Full cluster control including kubectl_delete, kubectl_apply, kubectl_scale, and kubectl_generic (arbitrary kubectl). CRITICAL: use RBAC-scoped kubeconfig. Client readiness tier-3 without governance controls.

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