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.

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🚀 Setup Instructions

1. Import the Workflow
   Upload this template to your n8n instance.

2. 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.

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

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🧩 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

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⚠️ 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.

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🛠️ 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.

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🔧 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).

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🖼️ Template Screenshot

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🧠 Example Prompts

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

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📎 Additional Resources

• MCP Server on GitHub
• OpenAI Documentation
• n8n Docs

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