Get Resource Usage

Preconditions

Before applying this skill, verify:

• Metrics server is installed and running
• Cluster has metrics-server or equivalent

Actions

1. Get Node Resource Usage

Retrieve CPU and memory usage for all nodes.

mcp_tool: kubernetes-mcp-server/nodes_top
params: {}
timeout: 30s

2. Get Pod Resource Usage

Retrieve CPU and memory usage for pods.

mcp_tool: kubernetes-mcp-server/pods_top
params:
  all_namespaces: true
timeout: 30s

3. Get Node Stats Summary

Get detailed stats from kubelet for specific node.

mcp_tool: kubernetes-mcp-server/nodes_stats_summary
params:
  name: $node_name
timeout: 30s

Success Criteria

The skill succeeds when:

• Metrics retrieved for all nodes
• CPU and memory values are valid
• No errors from metrics API

Failure Handling

If metrics are unavailable:

1. Check if metrics-server is running
2. Verify node kubelet is responsive
3. Return partial data if some nodes fail

Examples

Output:

{
  "nodes": [
    {
      "name": "node1",
      "cpu_percent": 45,
      "memory_percent": 62,
      "cpu_cores": "2000m",
      "memory_bytes": "4Gi"
    }
  ],
  "top_pods": [
    {
      "name": "vllm-abc123",
      "namespace": "vllm",
      "cpu": "1500m",
      "memory": "16Gi"
    }
  ]
}