Connects Claude to Kubernetes clusters through natural language queries and operations. You get semantic search over cluster resources, AI-powered deployment recommendations, and automated issue remediation with root cause analysis. It also manages organizational patterns and policies, lets you search internal documentation, and can scaffold new repositories with governance files. Built on the Model Context Protocol and Vercel AI SDK. Reach for this when you want conversational access to cluster state and operations without juggling kubectl commands, or when you need to enforce platform engineering standards across teams through AI-assisted workflows.
AI-powered platform engineering and DevOps automation through intelligent Kubernetes operations and conversational workflows.
DevOps AI Toolkit brings AI-powered intelligence to platform engineering, Kubernetes operations, and development workflows. Access it through MCP for AI coding assistants or the CLI for direct agent integration.
Key capabilities:
For the easiest setup, we recommend installing the complete dot-ai stack which includes all components pre-configured. See the Stack Installation Guide.
For individual component installation, see the Deployment Guide.
We welcome contributions from the community! Please review:
MIT License - see LICENSE file for details.
This project collects anonymous usage analytics to improve the product. Learn more or opt out.
DevOps AI Toolkit is built on:
DevOps AI Toolkit - Making cloud native operations accessible through AI-powered intelligence.
silenceper/mcp-k8s
azure/containerization-assist
io.github.evozim/aws-builder
reza-gholizade/k8s-mcp-server
flux159/mcp-server-kubernetes