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 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. --- 🧩 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 --- 📎 Additional Resources - MCP Server on GitHub - OpenAI Documentation - n8n Docs --- Build smarter Kubernetes workflows with the power of AI !