# DevOps AI Toolkit
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<img src="assets/images/logo.jpeg" alt="DevOps AI Toolkit Logo" width="400">
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[](https://www.npmjs.com/package/@vfarcic/dot-ai)
[](https://www.npmjs.com/package/@vfarcic/dot-ai)
[](https://github.com/vfarcic/dot-ai/releases/latest)
[](LICENSE)
[](https://scorecard.dev/viewer/?uri=github.com/vfarcic/dot-ai)
[](https://github.com/vfarcic/dot-ai)
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**AI-powered platform engineering and DevOps automation through intelligent Kubernetes operations and conversational workflows.**
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## [Read the Documentation](https://devopstoolkit.ai/docs/mcp/)
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## Overview
DevOps AI Toolkit brings AI-powered intelligence to platform engineering, Kubernetes operations, and development workflows. Built on the Model Context Protocol (MCP), it integrates seamlessly with Claude Code, Cursor, and VS Code.
**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
- Automated repository setup with governance files
- Shared prompt libraries for consistent workflows
## Deployment Options
> **For the easiest setup**, we recommend installing the complete dot-ai stack which includes all components pre-configured. See the [Stack Installation Guide](https://devopstoolkit.ai/docs/stack).
For individual component installation:
- **[Kubernetes Setup](https://devopstoolkit.ai/docs/mcp/setup/kubernetes-setup/)** - Individual component deployment with full features
- **[ToolHive Setup](https://devopstoolkit.ai/docs/mcp/setup/kubernetes-toolhive-setup/)** - Operator-managed Kubernetes deployment
- **[Docker Setup](https://devopstoolkit.ai/docs/mcp/setup/docker-setup/)** - Local development (manual capability scanning only)
- **[NPX Setup](https://devopstoolkit.ai/docs/mcp/setup/npx-setup/)** - Quick trials with Node.js
[Read the Documentation](https://devopstoolkit.ai/docs/mcp/)
## Support
- **[Support Guide](SUPPORT.md)** - How to get help and where to ask questions
- **GitHub Issues**: [Bug reports and feature requests](https://github.com/vfarcic/dot-ai/issues)
- **GitHub Discussions**: [Community Q&A and discussions](https://github.com/vfarcic/dot-ai/discussions)
## Contributing & Governance
We welcome contributions from the community! Please review:
- **[Contributing Guidelines](CONTRIBUTING.md)** - How to contribute code, docs, and ideas
- **[Code of Conduct](CODE_OF_CONDUCT.md)** - Community standards and expectations
- **[Security Policy](SECURITY.md)** - How to report security vulnerabilities
- **[Governance](docs/GOVERNANCE.md)** - Project governance and decision-making
- **[Maintainers](docs/MAINTAINERS.md)** - Current project maintainers
- **[Roadmap](docs/ROADMAP.md)** - Project direction and priorities
## Help Us Improve
Your feedback shapes dot-ai's future! After using the tools, you may occasionally see a feedback prompt - we'd love to hear what's working and what could be better.
[Share your feedback](https://forms.gle/dJcDXtsxhCCwgxtT6)
## License
MIT License - see [LICENSE](LICENSE) file for details.
## Acknowledgments
DevOps AI Toolkit is built on:
- [Model Context Protocol](https://modelcontextprotocol.io/) for AI integration framework
- [Vercel AI SDK](https://sdk.vercel.ai/) for unified AI provider interface
- [Kubernetes](https://kubernetes.io/) for the cloud native foundation
- [CNCF](https://www.cncf.io/) for the cloud native ecosystem
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**DevOps AI Toolkit** - Making cloud native operations accessible through AI-powered intelligence.
