LabscoMCP early access ↗
rohitg00MCP SERVER

Kubectl MCP Server

Run a Kubernetes cluster through conversation — debug crashed pods, walk Helm releases, audit RBAC, chase idle spend, and reach Flux, Argo, Istio, Velero and cert-manager without leaving the chat.

by rohitg00 ↗Containers, Kubernetes & Cluster OperationsCommunity

LABSCO SUMMARY

The cluster question you would have needed four CLIs to answer.

Beyond kubectl itself it reaches Helm, Flux, Argo, Istio, Velero, cert-manager, KEDA, Cilium and KubeVirt — so "why is this pod pending and did the last backup work" is one conversation instead of four terminal tabs.

What it is

A large Kubernetes control surface exposed over MCP. It uses your existing kubectl configuration, so cluster access is whatever your kubeconfig already grants.

What you get

  • Core objects: pods, deployments, statefulsets, daemonsets, jobs and replicasets, with get_logs, get_previous_logs, get_pod_events, check_pod_health, exec_in_pod and cleanup_pods
  • Diagnostics as first-class tools rather than recipes — diagnose_pod_crash, detect_pending_pods, get_evicted_pods, diagnose_network_connectivity, check_dns_resolution, trace_service_chain and compare_namespaces
  • Security posture: audit_rbac_permissions, check_secrets_security, get_pod_security_info and get_admission_webhooks
  • Cost work: get_resource_recommendations, get_idle_resources, get_cost_analysis, get_overprovisioned_resources, get_namespace_cost_allocation and optimize_resource_requests
  • The full Helm surface — releases, charts, repos, install, upgrade, rollback, template and chart development
  • Ecosystem coverage that usually needs its own CLI: GitOps with Flux and Argo, cert-manager, Kyverno and Gatekeeper policy, Velero backup and restore, KEDA, Cilium and Hubble, Argo Rollouts and Flagger, Cluster API, KubeVirt, Istio and Kiali, plus kind and vCluster
  • MCP resources for reading state — kubeconfig://contexts, cluster://info, cluster://nodes, namespace://list and manifest:// URIs per object type, with secret data masked
  • Interactive UI dashboards including show_pods_dashboard_ui, show_events_timeline_ui and show_cluster_overview_ui

Requirements

kubectl installed and configured, and access to a cluster. Either Python 3.9+ for the pip install or Node.js 14+ to run it straight through npx with no install step. A Docker image is published on both Docker Hub and the GitHub Container Registry; mount your kubeconfig read-only into the container and choose stdio or an HTTP transport. The interactive dashboards need the UI extra at install time.

Setup effort

One command — npx -y kubectl-mcp-server