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.
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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 from the Kubernetes cluster.
Get logs from a pod in the Kubernetes cluster.
Manage kubectl contexts.
Explain Kubernetes resources.
List API resources in the Kubernetes cluster.
Scale resources in the Kubernetes cluster.
Update field(s) of a resource in the Kubernetes cluster.
Manage deployment rollouts.
Execute any kubectl command.
Verify connection to the Kubernetes cluster.
Set up port forwarding to pods and services.
Clean up problematic pods in specified states.
Manage nodes for maintenance and scaling operations.
Guide through a systematic Kubernetes troubleshooting flow for pods based on a keyword and optional namespace.
Template-based installation of Helm charts to bypass authentication issues.
Template-based uninstallation of Helm charts to bypass authentication issues.
