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
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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.
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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
Build smarter Kubernetes workflows with the power of AI!