Automation library · AI assistants

Conversational 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 puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 27 steps: large, and worth reading before you trust it with anything live.

LargeCalls a model: OpenAIRetrieval

27 stepsLarge: read it before trusting it with anything live
0Branches: places the flow splits
0Loops or waits
0Services by connector: it calls them over plain HTTP

The flow

Starts it 3Model 5Service 19

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

  1. 1When chat message receivedChat triggerStarts it
  2. 2getAPIResourcesMcp Client ToolService
  3. 3listResourcesMcp Client ToolService
  4. 4describeResourceMcp Client ToolService
  5. 5getPodMetricsMcp Client ToolService
  6. 6getNodeMetricsMcp Client ToolService
  7. 7getResourceMcp Client ToolService
  8. 8getPodsLogsMcp Client ToolService
  9. 9getEventsMcp Client ToolService
  10. 10List toolsMcp Client ToolService
  11. 11createorUpdateResourceMcp Client ToolService
  12. 12Simple MemoryMemory Buffer WindowModel
  13. 13OpenAI Chat ModelLm Chat Open AiModel
  14. 14Helm listMcp Client ToolService
  15. 15Helm InstallMcp Client ToolService
  16. 16Helm GetMcp Client ToolService
  17. 17Helm RollbackMcp Client ToolService
  18. 18Helm HistoryMcp Client ToolService
  19. 19Helm UninstallMcp Client ToolService
  20. 20Helm UpgradeMcp Client ToolService
  21. 21Helm Repo ListMcp Client ToolService
  22. 22Helm Repo AddMcp Client ToolService
  23. 23Kubernetes MCP ClientMcp Client ToolModel
  24. 24Helm MCP ClientMcp Client ToolModel
  25. 25AI AgentAgentModel
  26. 26Kubernetes MCP Server TriggerMcp triggerStarts it
  27. 27Helm MCP Server TriggerMcp triggerStarts it

How it's built

Starts on
Someone opening a chat with it
Steps
27
Size
Large: read it before trusting it with anything live
Connects to
Nothing by connector; it calls services over plain HTTP
Model
OpenAI
Retrieval
Answers are drawn from documents you supply, not from the model alone

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. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 27 steps it is large: read it before trusting it with anything live.

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 27 steps before you point it at anything that matters.