DevOps AI Toolkit

MCP serverCloud & infra

AI-powered development platform for Kubernetes deployments and intelligent automation

Unavailable. This server has no hosted endpoint yet, so ahel can't serve it.

Connect ahel once, and every AI you use reads what you have installed.

From the project's README

As published by vfarcic/dot-ai in README.md.

AI-powered platform engineering and DevOps automation through intelligent Kubernetes operations and conversational workflows.


AI Engine Docs | MCP Setup


Overview

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:

  • Natural language cluster querying and exploration
  • Intelligent Kubernetes deployment recommendations
  • AI-powered issue remediation and root cause analysis
  • Organizational pattern and policy management
  • Semantic search over organizational documentation
  • Automated repository setup with governance files
  • Shared prompt libraries for consistent workflows

Deployment

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.

AI Engine Docs | MCP Setup

Support

Contributing & Governance

We welcome contributions from the community! Please review:

License

MIT License - see LICENSE file for details.

Telemetry

This project collects anonymous usage analytics to improve the product. Learn more or opt out.

Acknowledgments

DevOps AI Toolkit is built on:


DevOps AI Toolkit - Making cloud native operations accessible through AI-powered intelligence.

Signals

GitHub stars
336
Forks
76
Last commit
Sep 2026
Advanced
Delivery
dot-ai MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
Catalog kind
mcp-server
Gateway key
io-github-vfarcic-dot-ai
Source
github.com/vfarcic/dot-ai