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.
Nessuna recensione ancora. Sii il primo a recensire!
Accedi per unirti alla conversazione
Highlight AIGet information about a specific Kubernetes resource.
Describe a specific Kubernetes resource in detail.
List all instances of a specific Kubernetes resource.
Create a new Kubernetes resource from a specified configuration.
Apply a YAML manifest to create or update a Kubernetes resource.
Delete a specified Kubernetes resource.
Retrieve the logs of a specified Kubernetes pod.
Manage and switch between different kubectl contexts.
Explain a specific Kubernetes resource and its fields.
List all available API resources in the Kubernetes cluster.
Scale a specified Kubernetes resource to the desired number of replicas.
Update specific fields of a Kubernetes resource.
Manage the rollout of a Kubernetes deployment.
Execute any generic kubectl command.
Set up port forwarding to a specified pod or service.
Install a Helm chart in the Kubernetes cluster.
Upgrade an existing Helm chart in the Kubernetes cluster.
Stop the port forwarding to a specified pod or service.
