Conversational Kubernetes Management with GPT-4o and MCP Integration

This n8n workflow template uses community nodes and is only compatible with the self-hosted version of n8n.

Conversational Kubernetes Management with GPT-4o and MCP Integration

This workflow enables you to manage Kubernetes clusters conversationally using OpenAI’s GPT-4o and a secure MCP (Model Context Protocol) server. It transforms natural language queries into actionable Kubernetes commands via a lightweight MCP API gateway — perfect for developers and platform engineers seeking to simplify cluster interaction.

🚀 Setup Instructions

Import the Workflow
Upload this template to your n8n instance.

Configure Required Credentials OpenAI API Key: Add your GPT-4o API key in the credentials. MCP Client Node: Set the URL and auth for your MCP server.

Test Kubernetes Access
Ensure your MCP server is correctly configured and has access to the target Kubernetes cluster.

🧩 Prerequisites

n8n version 0.240.0 or later
Access to GPT-4o via OpenAI
A running MCP server
Kubernetes cluster credentials configured in your MCP backend

⚠️ Community Nodes Disclaimer

This workflow uses custom community nodes (e.g., MCP Client).
Make sure to review and trust these nodes before running in production.

🛠️ How It Works

A webhook or chat input triggers the conversation. GPT-4o interprets the message and generates structured Kubernetes queries. MCP Client securely sends requests to your cluster. The result is returned and formatted for easy reading.

🔧 Customization Tips

Tweak the GPT-4o prompt to match your tone or technical level.
Extend MCP endpoints to support new Kubernetes actions.
Add alerting or monitoring integrations (e.g., Slack, Prometheus).

🖼️ Template Screenshot

🧠 Example Prompts

Show me all pods in the default namespace. Get logs for nginx pod in kube-system. List all deployments in staging.

📎 Additional Resources

MCP Server on GitHub
OpenAI Documentation
n8n Docs

Build smarter Kubernetes workflows with the power of AI !