name: k8s-capi description: Cluster API lifecycle management for provisioning, scaling, and upgrading Kubernetes clusters. Use when managing cluster infrastructure or multi-cluster operations.

Cluster API Lifecycle Management

Manage Kubernetes clusters using kubectl-mcp-server's Cluster API tools (11 tools).

Check Installation

capi_detect_tool()

List Clusters

# List all CAPI clusters
capi_clusters_list_tool(namespace="default")

# Shows:
# - Cluster name
# - Phase (Provisioning, Provisioned, Deleting)
# - Infrastructure ready
# - Control plane ready

Get Cluster Details

capi_cluster_get_tool(name="my-cluster", namespace="default")

# Shows:
# - Spec (control plane, infrastructure)
# - Status (phase, conditions)
# - Network configuration

Get Cluster Kubeconfig

# Get kubeconfig for workload cluster
capi_cluster_kubeconfig_tool(name="my-cluster", namespace="default")

# Returns kubeconfig to access the cluster

Machines

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List Machines

capi_machines_list_tool(namespace="default")

# Shows:
# - Machine name
# - Cluster
# - Phase (Running, Provisioning, Failed)
# - Provider ID
# - Version

Get Machine Details

capi_machine_get_tool(name="my-cluster-md-0-xxx", namespace="default")

Machine Deployments

List Machine Deployments

capi_machinedeployments_list_tool(namespace="default")

# Shows:
# - Deployment name
# - Cluster
# - Replicas (ready/total)
# - Version

Scale Machine Deployment

# Scale worker nodes
capi_machinedeployment_scale_tool(
    name="my-cluster-md-0",
    namespace="default",
    replicas=5
)

Machine Sets

capi_machinesets_list_tool(namespace="default")

Machine Health Checks

capi_machinehealthchecks_list_tool(namespace="default")

# Health checks automatically remediate unhealthy machines

Cluster Classes

# List cluster templates
capi_clusterclasses_list_tool(namespace="default")

# ClusterClasses define reusable cluster configurations

Create Cluster

kubectl_apply(manifest="""
apiVersion: cluster.x-k8s.io/v1beta1
kind: Cluster
metadata:
  name: my-cluster
  namespace: default
spec:
  clusterNetwork:
    pods:
      cidrBlocks:
      - 192.168.0.0/16
    services:
      cidrBlocks:
      - 10.96.0.0/12
  controlPlaneRef:
    apiVersion: controlplane.cluster.x-k8s.io/v1beta1
    kind: KubeadmControlPlane
    name: my-cluster-control-plane
  infrastructureRef:
    apiVersion: infrastructure.cluster.x-k8s.io/v1beta1
    kind: AWSCluster
    name: my-cluster
""")

Create Machine Deployment

kubectl_apply(manifest="""
apiVersion: cluster.x-k8s.io/v1beta1
kind: MachineDeployment
metadata:
  name: my-cluster-md-0
  namespace: default
spec:
  clusterName: my-cluster
  replicas: 3
  selector:
    matchLabels:
      cluster.x-k8s.io/cluster-name: my-cluster
  template:
    spec:
      clusterName: my-cluster
      version: v1.28.0
      bootstrap:
        configRef:
          apiVersion: bootstrap.cluster.x-k8s.io/v1beta1
          kind: KubeadmConfigTemplate
          name: my-cluster-md-0
      infrastructureRef:
        apiVersion: infrastructure.cluster.x-k8s.io/v1beta1
        kind: AWSMachineTemplate
        name: my-cluster-md-0
""")

Cluster Lifecycle Workflows

Provision New Cluster

1. kubectl_apply(cluster_manifest)
2. capi_clusters_list_tool(namespace)  # Wait for Provisioned
3. capi_cluster_kubeconfig_tool(name, namespace)  # Get access

Scale Workers

1. capi_machinedeployments_list_tool(namespace)
2. capi_machinedeployment_scale_tool(name, namespace, replicas)
3. capi_machines_list_tool(namespace)  # Monitor

Upgrade Cluster

1. # Update control plane version
2. # Update machine deployment version
3. capi_machines_list_tool(namespace)  # Monitor rollout

Troubleshooting

Cluster Stuck Provisioning

1. capi_cluster_get_tool(name, namespace)  # Check conditions
2. capi_machines_list_tool(namespace)  # Check machine status
3. get_events(namespace)  # Check events
4. # Check infrastructure provider logs

Machine Failed

1. capi_machine_get_tool(name, namespace)
2. get_events(namespace)
3. # Common issues:
   # - Cloud provider quota
   # - Invalid machine template
   # - Network issues

Related Skills

• k8s-multicluster - Multi-cluster operations
• k8s-operations - kubectl operations

这个 Skill 质量中规中矩，文档清晰易懂，提供了实用的代码示例和工作流程，能帮助用户快速管理 Kubernetes 集群。优点是功能覆盖较全，从查询到创建都有示例；缺点是内容偏基础，故障排查指引不足，遇到问题可能需要自行探索。适合有一定 K8s 基础的用户使用。