DevOps AI Toolkit

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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](https://devopstoolkit.ai/docs/ai-engine/setup/deployment/).

AI Engine Docs | MCP Setup

Support

• [Support Guide](SUPPORT.md) - 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](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

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.