About DevOps AI Toolkit
DevOps AI Toolkit is an MCP server published by vfarcic in the Developer Tools category: intelligent dual-mode agent for deploying applications to ANY Kubernetes cluster through dynamic discovery and plain English governance.
The repository has 337 stars and 72 forks, with the last commit 5 days ago. Recent commit activity is the strongest signal that reported issues will get attention.
Install
git clone https://github.com/vfarcic/dot-aiThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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Security checks
Static checks derived from the repository 4 days ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- ✓Tests presentA test suite exists in the repository.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- !No dynamic code executionSource scan found eval or shell execution. Review how tool inputs reach it before granting credentials.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
Releases
README
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.
README fetched from the repository 4 days ago. The original is authoritative.