vfarcic/dot-ai

**AI-powered platform engineering and DevOps automation through intelligent Kubernetes operations and conversational workflows.**
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AI Engine Docs | MCP Setup
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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
- Untrusted-content boundary separating cluster output from operator instruction in remediation and Day 2 operations
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
- **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