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Manage Kubernetes clusters with resource inspection, operations, monitoring, and analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-k8s-server" yet — see the docs or source repo.
List the current Kubernetes cluster nodes, their status, Kubernetes version, and whether any nodes are NotReady, then provide brief risk notes.
A list of nodes, health status, version details, and highlighted abnormal nodes with operational risks.
Inspect abnormal pods in the production namespace, list instances in CrashLoopBackOff, ImagePullBackOff, or Pending state, and analyze possible causes with recommended actions.
An abnormal pod list, error state explanations, likely root causes, and step-by-step troubleshooting suggestions.
Analyze deployments in the staging namespace for replica counts and CPU/memory requests and limits, identify workloads with missing or unreasonable resource settings, and suggest optimizations.
A resource configuration analysis highlighting high-risk workloads and actionable optimization recommendations.
Manage Kubernetes clusters, resources, backups, and diagnostics using natural language.
Manage Kubernetes clusters with kubectl and Helm for maintenance and troubleshooting.
Connect to Kubernetes via MCP to inspect clusters and assist operations.
Query multiple Kubernetes clusters at once using natural language.
Safely manage and visualize Kubernetes clusters with high-level operational tools.
Generate Kubernetes manifests and run common cluster operations from one tool.