io.github.vfarcic/dot-ai
AI-powered development platform for Kubernetes deployments and intelligent automation
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
@vfarcic/dot-aiclaude mcp add dot-ai -- npx -y @vfarcic/dot-ai@0.112.0{
"mcpServers": {
"dot-ai": {
"command": "npx",
"args": [
"-y",
"@vfarcic/dot-ai@0.112.0"
]
}
}
}Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
DevOps AI Toolkit
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
- 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.
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.
Frequently asked questions
What is io.github.vfarcic/dot-ai?
AI-powered development platform for Kubernetes deployments and intelligent automation
How do I install io.github.vfarcic/dot-ai?
It runs on your machine. In Claude Code: claude mcp add dot-ai -- npx -y @vfarcic/dot-ai@0.112.0. For other clients, paste the JSON configuration from this page into their MCP settings.
Does io.github.vfarcic/dot-ai need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is io.github.vfarcic/dot-ai open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains io.github.vfarcic/dot-ai?
It is published by vfarcic. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.