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MCP verified MIT Self-run

Devops Ai Guidelines

mcp-versuscontrol-devops-ai-guidelines · by VersusControl

First AI Journey for DevOps - with comprehensive learning paths, practical tips, and enterprise guidelines

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Install

$ agentstack add mcp-versuscontrol-devops-ai-guidelines

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

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Reliability & compatibility

Security review passed
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2mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

DevOps AI Guidelines & Learning Path

[](https://opensource.org/licenses/MIT) [](https://github.com/VersusControl/devops-ai-guidelines)

> Your complete journey from DevOps Engineer to AI Infrastructure Architect - with comprehensive learning paths, practical tips, and enterprise guidelines

Overview

This repository provides everything you need to master AI in DevOps - from your first AI tool to becoming an AI Infrastructure Architect. Whether you're starting your AI journey, implementing AI in your team, or leading enterprise AI adoption, we've got comprehensive resources and proven frameworks to guide your success.

What You'll Find Here

  • Complete learning roadmap from DevOps to AI Infrastructure Architect
  • Structured tutorials for AI fundamentals and advanced techniques
  • Enterprise AI frameworks for safe team implementation
  • Career acceleration strategies and interview preparation
  • Daily productivity tips and automation workflows
  • Cloud optimization using AI tools and techniques

Repository Contents

AI Learning Path for DevOps

Complete 18-month journey from DevOps Engineer to AI Infrastructure Architect

| Document | Description | Status | | ------------------------------------------------------------------------- | ----------------------------------------------------------------- | ------------ | | [AI Roadmap Overview](./01-ai-roadmap-for-devops/01-roadmap.md) | Complete visual learning path with 3 phases and navigation | ✅ Available | | [MCP for DevOps](./02-mcp-for-devops/00-toc.md) | Complete guide to building MCP servers with Golang and Kubernetes | ✅ Available | | [AI Agent for DevOps](./03-ai-agent-for-devops/00-toc.md) | Complete guide to building AI Agent with Golang and LangChain | ✅ Available | | [Building Your Business on AWS with AI Agent](./04-ai-agent-for-aws/00-toc.md) | A Step-by-Step Guide for Beginners to Design, Build, and Scale Your Business Infrastructure on Amazon Web Services | ✅ Available | | [AI Project Management](./05-ai-project-management/00-toc.md) | An Engineer's Journey to Building an Intelligent Project Management with OpenClaw | ✅ Available |

For Teams & Organizations

| Document | Description | Time to Read | | --------------------------------------------------------------------------------- | ------------------------------------------------------------------ | ------------ | | [AI Guidelines for DevOps Teams](./resources/ai-guidelines-devops-team.md) | Complete framework for implementing AI safely in your organization | 15-20 min |

For Individual Career Growth

| Document | Description | Time to Read | | -------------------------------------------------------------------------------- | ------------------------------------------------------------ | ------------ | | [AI Interview Preparation Guide](./resources/ai-mock-interview.md) | Master AI-related DevOps interview questions and scenarios | 10 min | | [10 Essential AI Prompts for DevOps](./resources/10-ai-prompts-devops.md) | Ready-to-use prompts that will boost your daily productivity | 5 min |

For Cloud & Certification

| Document | Description | Time to Read | | ------------------------------------------------------------------------------------------ | ---------------------------------------------------------- | ------------ | | [AWS Certification 10x Faster with AI](./resources/aws-certification-10x-faster.md) | Accelerate your AWS learning using AI tools and strategies | 8 min |

Resources Example

| Document | Description | Time to Read | | ------------------------------------------------------------------------------------------ | ---------------------------------------------------------- | ------------ | | [How I Use AI Assistant to Create AWS Infrastructure](./resources/ai-assisted-aws-infrastructure-demo.md) | A conversation with your AI assistant about your infrastructure needs, and it builds everything for you. | 12 min | | [AI Infrastructure Agent for AWS](./resources/ai-infrastructure-agent-for-aws.md) | Transform your AWS infrastructure management with natural language commands! | 12 min |

Quick Start Paths

Individual DevOps Engineer

  1. Start with [10 AI Prompts](./resources/10-ai-prompts-devops.md) for immediate productivity gains
  2. Use [AWS AI Learning](./resources/aws-certification-10x-faster.md) to accelerate certifications
  3. Prepare for interviews with [AI Interview Guide](./resources/ai-mock-interview.md)

Team Lead/Manager

  1. Review [Team Guidelines](./resources/ai-guidelines-devops-team.md) for safe AI implementation
  2. Share [Daily Prompts](./resources/10-ai-prompts-devops.md) with your team
  3. Establish security framework from the guidelines

Organization/CTO

  1. Implement [AI Guidelines](./resources/ai-guidelines-devops-team.md) across teams
  2. Train teams using all resources as reference material
  3. Monitor and optimize based on provided frameworks

License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

Support This Project

If these guidelines have helped your team implement AI safely and effectively, consider:

  • Starring this repository
  • 💖 Sponsoring continued development

[](https://github.com/sponsors/hoalongnatsu)


Made with ❤️ by the DevOps VN community | Helping DevOps professionals thrive in the AI era

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.