Automation library · AI assistants

Kubernetes management with OpenAI and MCP

Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to OpenAI. 8 steps: small enough to read in one sitting and change without fear.

SmallCalls a model: OpenAI

8 stepsSmall: readable in one sitting
0Branches: places the flow splits
0Loops or waits
0Services by connector: it calls them over plain HTTP

The flow

Starts it 1Model 4Service 3

The steps in the order they run, from what starts it.

  1. 1OpenAI K8s ModelLm Chat Open AiModel
  2. 2When chat message receivedChat triggerStarts it
  3. 3OpenAI Chat ModelLm Chat Open AiModel
  4. 4List K8s ClustersMcp Client ToolService
  5. 5K8s Query AnalyzerAgentModel
  6. 6K8s Cluster AnalyzerAgentModel
  7. 7Kubectl MCP ToolMcp ClientService
  8. 8Switch K8s ContextMcp ClientService

How it's built

Starts on
Someone opening a chat with it
Steps
8
Size
Small: readable in one sitting
Connects to
Nothing by connector; it calls services over plain HTTP
Model
OpenAI

Questions

What does it need to run?

An n8n account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

Yes. It calls OpenAI. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Not long. At 8 steps it can be read in one sitting and changed without fear.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

Before you run it

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 8 steps before you point it at anything that matters.