# Conversational Kubernetes management with OpenAI and MCP: n8n workflow

> Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors.

Source: https://millionrounds.com/workflow/conversational-kubernetes-management-with-openai-and-mcp (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [AI assistants](https://millionrounds.com/workflows?category=AI+assistants#library)

# 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.

Large Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fconversational-kubernetes-management-with-openai-and-mcp)

**27 steps** Large: read it before trusting it with anything live

**0** Branches: places the flow splits

**0** Loops or waits

**0** Services by connector: it calls them over plain HTTP

## The flow

Starts it 3 Model 5 Service 19

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

- 1 **When chat message received** Chat trigger *Starts it*
- 2 **getAPIResources** Mcp Client Tool *Service*
- 3 **listResources** Mcp Client Tool *Service*
- 4 **describeResource** Mcp Client Tool *Service*
- 5 **getPodMetrics** Mcp Client Tool *Service*
- 6 **getNodeMetrics** Mcp Client Tool *Service*
- 7 **getResource** Mcp Client Tool *Service*
- 8 **getPodsLogs** Mcp Client Tool *Service*
- 9 **getEvents** Mcp Client Tool *Service*
- 10 **List tools** Mcp Client Tool *Service*
- 11 **createorUpdateResource** Mcp Client Tool *Service*
- 12 **Simple Memory** Memory Buffer Window *Model*
- 13 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 14 **Helm list** Mcp Client Tool *Service*
- 15 **Helm Install** Mcp Client Tool *Service*
- 16 **Helm Get** Mcp Client Tool *Service*
- 17 **Helm Rollback** Mcp Client Tool *Service*
- 18 **Helm History** Mcp Client Tool *Service*
- 19 **Helm Uninstall** Mcp Client Tool *Service*
- 20 **Helm Upgrade** Mcp Client Tool *Service*
- 21 **Helm Repo List** Mcp Client Tool *Service*
- 22 **Helm Repo Add** Mcp Client Tool *Service*
- 23 **Kubernetes MCP Client** Mcp Client Tool *Model*
- 24 **Helm MCP Client** Mcp Client Tool *Model*
- 25 **AI Agent** Agent *Model*
- 26 **Kubernetes MCP Server Trigger** Mcp trigger *Starts it*
- 27 **Helm MCP Server Trigger** Mcp trigger *Starts 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.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fconversational-kubernetes-management-with-openai-and-mcp)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Workflows like it

Also ai assistants, with the same services where possible, closest in size first.

- [**AI chatbot call center: Demo call center with Grok and Redis** 27 steps · calls a model · Redis](https://millionrounds.com/workflow/ai-chatbot-call-center-demo-call-center-with-grok-and-redis)
- [**AI voice & text note-taking with LINE Messaging** 27 steps · calls a model · Gmail, Supabase vectors](https://millionrounds.com/workflow/ai-voice-and-text-note-taking-with-line-messaging)
- [**Build a dual-stage RAG chat assistant with Google Drive** 27 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/build-a-dual-stage-rag-chat-assistant-with-google-drive)
- [**Intelligent project delivery and task management system** 27 steps · calls a model](https://millionrounds.com/workflow/intelligent-project-delivery-and-task-management-system)
- [**LINE messages with OpenRouter** 27 steps · calls a model](https://millionrounds.com/workflow/line-messages-with-openrouter)
- [**Place products on AI generated backgrounds with Google Imagen** 27 steps · calls a model · Google Drive](https://millionrounds.com/workflow/place-products-on-ai-generated-backgrounds-with-google-image)