mcp-server-kubernetes
Enables Claude to execute kubectl commands and query cluster state directly, reducing context switching and manual troubleshooting loops when diagnosing depl…
MCP server for interacting with Kubernetes clusters via kubectl
- Ask Claude to check pod status and troubleshoot deployment failures in your cluster
- Generate kubectl commands to scale services or update deployments without leaving chat
- Automate retrieval of logs and events to diagnose application performance issues
Enables Claude to execute kubectl commands and query cluster state directly, reducing context switching and manual troubleshooting loops when diagnosing deployment, networking, or resource issues in production environments.
Platform engineering teams and DevOps engineers managing Kubernetes clusters who need rapid cluster inspection and operational context within AI-assisted workflows.
https://www.npmjs.com/package/mcp-server-kubernetes
By GitHub Actions
How to Get It
npx -y mcp-server-kubernetes
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Check pod status and troubleshoot deployment failures in my cluster
Trust Signals Auto-scanned
Data & Access
Community Pulse Quiet
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 1,455 GitHub stars; contributors unknown; last commit 14d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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
Scored from trust signals (evidence-eval-v1): 1,455 GitHub stars; contributors unknown; last commit 14d ago; license MIT.