K8s Agent FAQs

Question 1

How does K8s Agent ensure security for Kubernetes operations?

Accepted Answer

It's secure by design, reusing your existing `~/.kube/config` and its authentication (e.g., SSO, OIDC). The server never stores, transmits, or manages credentials itself.

Question 2

What types of Kubernetes operations can AI assistants perform with K8s Agent?

Accepted Answer

AI assistants can query and diagnose cluster resources in real-time, take actions like scaling deployments, restarting workloads, applying manifests, and even generate production-ready K8s manifests (ServiceAccount, RBAC, Deployment, Service).

Question 3

Which AI assistants and clients are compatible with K8s Agent?

Accepted Answer

K8s Agent supports any Model Context Protocol (MCP) client. This includes popular tools like Claude Code, OpenAI Codex CLI, Gemini CLI, and Opencode, operating via stdio, HTTP, or SSE.

Question 4

What are the prerequisites to get started with K8s Agent?

Accepted Answer

You'll need Python 3.10+, a package manager (Poetry, uv, or pip), and `kubectl` access correctly configured with an existing `~/.kube/config` to connect to your cluster.

Question 5

What is K8s Agent?

Accepted Answer

K8s Agent (k8s-mcp) is an MCP server that exposes Kubernetes operations as tools for AI assistants, enabling direct natural language query and management of your K8s clusters.

K8s Agent

K8s Agent

Key Features

Use Cases

Key Features

Use Cases