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](https://platform.openai.com/docs/models/gpt-4) via OpenAI
- A running [MCP server](https://github.com/reza-gholizade/k8s-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](https://github.com/reza-gholizade/k8s-mcp-server)
- [OpenAI Documentation](https://platform.openai.com/docs)
- [n8n Docs](https://docs.n8n.io/)
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Build smarter Kubernetes workflows with the power of AI !