Kubectl Metrics FAQs

Question 1

How does Kubectl Metrics discover Prometheus or Thanos endpoints?

Accepted Answer

It automatically discovers Prometheus and Thanos URLs by inspecting the `thanos-querier` route available within your OpenShift cluster, simplifying setup.

Question 2

Can I integrate Kubectl Metrics with AI assistants?

Accepted Answer

Yes, it includes a built-in MCP server that supports stdio and SSE protocols, enabling seamless integration with AI assistants such as Claude Desktop, Cursor IDE, or OpenShift Lightspeed.

Question 3

How does Kubectl Metrics authenticate with my cluster?

Accepted Answer

It authenticates using standard `kubectl` flags (e.g., `--kubeconfig`, `--context`) and automatically requests service account tokens via the Kubernetes TokenRequest API for secure access.

Question 4

What is Kubectl Metrics?

Accepted Answer

Kubectl Metrics is a native `kubectl` plugin and an MCP (Multi-cloud Provider) server for AI assistants, designed to query Prometheus and Thanos metrics directly on OpenShift clusters.

Question 5

Does Kubectl Metrics support custom Prometheus Query Language (PromQL) queries?

Accepted Answer

Absolutely. It supports both predefined and custom PromQL queries, allowing you to retrieve precise metric data tailored to your monitoring needs.

Kubectl Metrics

Key Features

Use Cases

Kubectl Metrics

Key Features

Use Cases