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 a specific resource in the Kubernetes cluster.
List resources of a specific type in the Kubernetes cluster.
Create a new resource in the Kubernetes cluster.
Apply YAML manifests to the Kubernetes cluster.
Delete a specified resource from the Kubernetes cluster.
Get logs from a specific pod in the Kubernetes cluster.
Manage kubectl contexts for switching between clusters.
Explain Kubernetes resources and their configurations.
List available API resources in the Kubernetes cluster.
Scale a resource in the Kubernetes cluster.
Update field(s) of a specific resource in the Kubernetes cluster.
Manage deployment rollouts for resources in the Kubernetes cluster.
Execute any kubectl command, including custom commands.
Set up port forwarding to access pods or services.
Install a Helm chart in the Kubernetes cluster.
Upgrade an existing Helm chart in the Kubernetes cluster.
Stop any active port forwarding sessions.
