DevOps AI Guidelines
First AI Journey for DevOps - with comprehensive learning paths, practical tips, and enterprise guidelines
What is DevOps AI Guidelines?
DevOps AI Guidelines is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to first ai journey for devops - with comprehensive learning paths, practical tips, and enterprise guidelines
First AI Journey for DevOps - with comprehensive learning paths, practical tips, and enterprise guidelines
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- First AI Journey for DevOps - with comprehensive learning pa
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx devops-ai-guidelinesConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use DevOps AI Guidelines
DevOps AI Guidelines is an open-source learning repository from the DevOps VN community that provides structured guides, practical prompts, and reference implementations for DevOps engineers adopting AI tools in their daily workflows. It covers building MCP servers with Golang and Kubernetes, creating AI agents with Golang and LangChain, managing AWS infrastructure with natural language commands, and a curated set of ready-to-use AI prompts optimized for DevOps productivity. It is designed as a progression from beginner AI usage to enterprise-grade agentic automation for cloud-native teams.
Prerequisites
- Familiarity with DevOps concepts (CI/CD, Kubernetes, AWS, infrastructure-as-code)
- Go (Golang) toolchain for the MCP server and agent examples
- An AWS account and AWS CLI configured (for infrastructure automation sections)
- An MCP-compatible client such as Claude Desktop or GitHub Copilot
- An Anthropic or OpenAI API key for the LLM-powered agent examples
Clone the repository
Clone the DevOps AI Guidelines repository to your local machine.
git clone https://github.com/VersusControl/devops-ai-guidelines.git
cd devops-ai-guidelinesBrowse the learning structure
Review the top-level directory to understand the progression: `01-getting-started` for foundational AI prompts, `02-mcp-for-devops` for MCP server builds, and `03-ai-agent-for-devops` for LangChain-based agents.
ls -laStart with the 10 essential DevOps prompts
Read `resources/10-ai-prompts-devops.md` to get immediately productive with AI-assisted DevOps tasks — incident response, code review, Kubernetes debugging, and more.
Follow the MCP for DevOps guide
Enter the `02-mcp-for-devops` directory and follow the step-by-step guide to build an MCP server in Golang that integrates with Kubernetes cluster management.
cd 02-mcp-for-devopsBuild an AI agent for DevOps
Navigate to `03-ai-agent-for-devops` and follow the LangChain + Golang guide to build an autonomous agent capable of executing DevOps workflows and AWS operations in response to natural language.
cd 03-ai-agent-for-devopsConfigure your MCP client
Once you have built or deployed an MCP server from the guides, add it to your Claude Desktop or Copilot MCP configuration to start using natural language for infrastructure management.
DevOps AI Guidelines Examples
Client configuration
Example Claude Desktop configuration for a locally built DevOps MCP server from the 02-mcp-for-devops guide (binary name will vary by implementation).
{
"mcpServers": {
"devops-ai": {
"command": "/path/to/devops-ai-guidelines/02-mcp-for-devops/devops-mcp-server",
"args": [],
"env": {
"KUBECONFIG": "/home/user/.kube/config",
"AWS_REGION": "us-east-1"
}
}
}
}Prompts to try
Sample AI prompts from the DevOps AI Guidelines resource for day-to-day DevOps productivity.
- "Analyze this Kubernetes pod log and identify the root cause of the crash loop."
- "Review this Terraform plan and flag any security misconfigurations."
- "Generate a Helm chart for a Node.js microservice with health checks and resource limits."
- "Write a GitHub Actions workflow that builds, tests, and deploys to AWS ECS on merge to main."
- "Design the AWS infrastructure for a high-availability API with auto-scaling and explain the cost implications."Troubleshooting DevOps AI Guidelines
Go build fails with missing dependency errors
Run `go mod tidy` inside the relevant example directory to resolve and download all dependencies. Ensure your Go version meets the minimum specified in each guide's `go.mod` file.
AWS commands fail with authentication errors in agent examples
Ensure the AWS CLI is configured with valid credentials (`aws configure` or environment variables `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`). The agent inherits the shell environment, so set credentials before starting the MCP server.
MCP server connects but Kubernetes tools return permission denied
Verify the `KUBECONFIG` environment variable points to a valid kubeconfig file and that the configured user has the necessary RBAC permissions. Test access independently with `kubectl get pods` before connecting via MCP.
Frequently Asked Questions about DevOps AI Guidelines
What is DevOps AI Guidelines?
DevOps AI Guidelines is a Model Context Protocol (MCP) server that first ai journey for devops - with comprehensive learning paths, practical tips, and enterprise guidelines It connects AI assistants to external tools and data sources through a standardized interface.
How do I install DevOps AI Guidelines?
Follow the installation instructions on the DevOps AI Guidelines GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with DevOps AI Guidelines?
DevOps AI Guidelines works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is DevOps AI Guidelines free to use?
Yes, DevOps AI Guidelines is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
DevOps AI Guidelines Alternatives — Similar Developer Tools Servers
Looking for alternatives to DevOps AI Guidelines? Here are other popular developer tools servers you can use with Claude, Cursor, and VS Code.
Ecc
★ 188.2kThe agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Javaguide
★ 155.8kJava 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Gemini CLI
★ 104.5kA secure MCP server that wraps the Google Gemini CLI, allowing clients to query Gemini models using local OAuth sessions without requiring an API key. It provides tools for model interaction and diagnostics with built-in protection against command in
Awesome MCP Servers
★ 87.3k⭐ Curated list of Model Context Protocol (MCP) servers - tools that extend Claude Desktop, Cursor, Windsurf, and other MCP clients with custom capabilities.
MCP Servers
★ 86.0kModel Context Protocol Servers
CC Switch
★ 77.5kA cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Gemini CLI & Hermes Agent. Only official website: ccswitch.io
Browse More Developer Tools MCP Servers
Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up DevOps AI Guidelines in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use DevOps AI Guidelines?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.