Kubernetes AI Ops Agent MCP Server

AI-powered assistant that enables natural language interactions with Kubernetes clusters. Simplifies DevOps workflows using Model Context Protocol

Local serverstdioPython

What is the Kubernetes AI Ops Agent MCP Server?

AI-powered assistant that enables natural language interactions with Kubernetes clusters. Simplifies DevOps workflows using Model Context Protocol (MCP) servers for

What the server does

Kubernetes AI Ops Agent is an intelligent agent that helps DevOps engineers and Kubernetes administrators manage Kubernetes clusters through conversational interfaces. The project leverages Large Language Models (LLMs) to interpret user intents and execute Kubernetes operations using specialized MCP (Model Context Protocol) servers.

  • 🤖 AI-Powered Assistance: Interact with your Kubernetes clusters using natural language
  • 🧰 Tool Integration: Execute Kubernetes operations through specialized tools
  • 🚀 Deployment Ready: Packaged with Docker and Helm charts for easy deployment
  • 📊 Web Interface: Built with Chainlit for an interactive chat experience

Credentials and setup notes

  • Python 3.10+ - Docker - Kubernetes cluster access - Helm (for deployment)

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Configuration

  • Python 3.10+ - Docker - Kubernetes cluster access - Helm (for deployment)
VariableDescriptionRequired
AZURE_OPENAI_API_KEYCredential the server authenticates with.Yes
OPENAI_API_KEYCredential the server authenticates with.Yes
PROMETHEUS_URLEndpoint or connection string the server talks to.Yes

Example prompts to try

  • “Use Kubernetes AI Ops Agent to Troubleshooting.”

Frequently asked questions

Only OpenAI models are supported. You can configure either the OpenAI API directly or Azure OpenAI API.