Kubernetes Manager
Summary
This MCP server, developed by Flux159, enables AI assistants like Claude to interact with Kubernetes clusters. It provides tools for listing pods, services, deployments, and namespaces, as well as creating and deleting pods. The server integrates with kubectl and automatically connects to the current context, allowing seamless management of Kubernetes resources through natural language commands. By bridging AI capabilities with Kubernetes operations, this implementation facilitates easier cluster management and troubleshooting. It is particularly useful for DevOps teams looking to streamline their Kubernetes workflows, developers needing quick access to cluster information, or system administrators performing routine cluster maintenance tasks through AI-assisted interactions.
Available Actions(18)
kubectl_get
Get or list resources in the Kubernetes cluster.
kubectl_describe
Describe a specific resource in the Kubernetes cluster.
kubectl_list
List resources in the Kubernetes cluster.
kubectl_create
Create a new resource in the Kubernetes cluster.
kubectl_apply
Apply YAML manifests to create or update resources in the Kubernetes cluster.
kubectl_delete
Delete resources in the Kubernetes cluster.
kubectl_logs
Get logs from a specific resource in the Kubernetes cluster.
kubectl_context
Manage kubectl contexts.
explain_resource
Explain Kubernetes resources.
list_api_resources
List API resources available in the Kubernetes cluster.
kubectl_scale
Scale resources in the Kubernetes cluster.
kubectl_patch
Update field(s) of a resource in the Kubernetes cluster.
kubectl_rollout
Manage deployment rollouts in the Kubernetes cluster.
kubectl_generic
Execute any kubectl command.
port_forward
Port forward to pods and services.
install_helm_chart
Install a Helm chart.
upgrade_helm_chart
Upgrade an existing Helm chart.
stop_port_forward
Stop port forwarding to pods and services.
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