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Manage KubeAid GitOps clusters via MCP by inspecting apps, pods, resources and syncing or scaling as needed.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "kubeaid-mcp" yet — see the docs or source repo.
Use kubeaid-mcp to list all ArgoCD apps in the current KubeAid cluster and return each app’s sync and health status.
Return the app list with health and sync status, highlighting apps that are out of sync or unhealthy.
With kubeaid-mcp, inspect pods and recent events for namespace `orders` and app `orders-service`, and identify restart or error indicators.
Output pod names, runtime status, and event timeline, then suggest possible causes for anomalies.
First sync the ArgoCD app `orders-service`, then scale deployment `orders-api` to 5 replicas.
Return the ArgoCD sync result and deployment scaling result, confirming the replica count is updated.
Operations teams can quickly verify ArgoCD app and resource status after deployment, checking whether changes are synced and spotting issues early.
Developers or SREs can inspect pods and events when alerts occur, helping them quickly pinpoint failure causes and decide next actions.
When load rises, teams can use kubeaid-mcp to sync relevant apps and scale deployments, reducing manual intervention time.
It is an MCP service for AI assistants to manage KubeAid GitOps clusters, enabling read access to ArgoCD apps, pods, events, and resources, with optional write actions such as syncing apps and scaling deployments.
You typically need valid kubeconfig credentials, and those credentials must have access to the target cluster and resources.
The setup depends on your MCP client and runtime environment; please check the configuration instructions in the source repository.
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