DevOps AI Toolkit
MCP serverCloud & infraAI-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.
Support
- Support Guide - How to get help and where to ask questions
- GitHub Issues: Bug reports and feature requests
- GitHub Discussions: Community Q&A and discussions
Contributing & Governance
We welcome contributions from the community! Please review:
- Contributing Guidelines - How to contribute code, docs, and ideas
- Code of Conduct - Community standards and expectations
- Security Policy - How to report security vulnerabilities
- Governance - Project governance and decision-making
- Maintainers - Current project maintainers
- Roadmap - Project direction and priorities
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:
- Model Context Protocol for AI integration framework
- Vercel AI SDK for unified AI provider interface
- Kubernetes for the cloud native foundation
- CNCF for the cloud native ecosystem
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