kubernetes-mcp-server

Name: kubernetes-mcp-server Review
Item: kubernetes-mcp-server
Rating: 3.8
Author: Aaron Matthews

Connector Infrastructure Solid

Model Context Protocol (MCP) server for Kubernetes and OpenShift

Diagnose pod failures and resource constraints in live clusters
Generate deployment manifests and apply configuration changes
Query cluster state and retrieve logs for incident investigation

1,604 starsApache-2.0 (commercial OK)FreeNo code needed

Why it matters

Enables Claude to interact directly with Kubernetes clusters via MCP, eliminating context-switching between AI and kubectl for diagnostics, deployments, and troubleshooting.

Best for

Platform engineers and DevOps teams managing Kubernetes infrastructure who want AI-assisted cluster inspection and operational tasks.

Works in

Claude Code Claude Cowork Claude Chat

Source

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

By GitHub Actions

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

npx -y kubernetes-mcp-server

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

CostFree

Trust Signals Auto-scanned

Stars1,604Last updated2026-05-20LicenseApache-2.0 (OK for commercial use)Weekly downloads6,849Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Data & Access

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

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 1,604 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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 Scores

Evaluation

Ease of Use

4/5

Versatility

5/5

Reliability

3/5

Security

3/5

Overall score3.85 / 5.00 SolidEvaluatedMay 2026

Scored from trust signals (evidence-eval-v1): 1,604 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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