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.
まだレビューはありません. 最初のレビューを投稿しましょう！
会話に参加するにはサインインしてください
Get or list resources in the Kubernetes cluster.
Describe resources in the Kubernetes cluster.
Create resources in the Kubernetes cluster.
Apply YAML manifests to the Kubernetes cluster.
Delete resources in the Kubernetes cluster.
Get logs of a specific pod in the Kubernetes cluster.
Manage kubectl contexts.
Explain Kubernetes resources.
List all API resources available in the Kubernetes cluster.
Scale resources in the Kubernetes cluster.
Update field(s) of a resource in the Kubernetes cluster.
Manage deployment rollouts in the Kubernetes cluster.
Execute any generic kubectl command.
Verify the connection to the Kubernetes cluster.
Port forward to pods and services.
Install a Helm chart in the Kubernetes cluster.
Upgrade an existing Helm chart in the Kubernetes cluster.
Template-based installation of Helm charts to bypass authentication issues.
Template-based uninstallation of Helm charts to bypass authentication issues.
Clean up problematic pods in specified states.
Manage nodes (cordon, drain, uncordon) for maintenance and scaling operations.
Guide through a systematic Kubernetes troubleshooting flow for pods based on a keyword and optional namespace.
