DevOps Practices

About

Serves as a centralized Model Context Protocol (MCP) server, offering an AI-powered knowledge base of standardized DevOps practices and templates for infrastructure projects. It equips AI assistants like Claude with a comprehensive collection of 11 essential practices, covering crucial areas from air-gapped workflows to configuration management, alongside 7 practical templates for common tasks such as runbook documentation and issue tracking. The server also exposes a suite of MCP tools, enabling Claude to efficiently list, retrieve, and render these practices and templates with dynamic variable substitution, thereby ensuring consistency and enhancing efficiency across diverse project teams.

Key Features

• Automated CI/CD pipeline ensuring code quality, consistency, and validation of all practices and templates
• Centralized knowledge base comprising 11 essential DevOps practices and standards
• Collection of 7 ready-to-use project templates for runbooks, task tracking, and issue management
• MCP server tools for AI assistants to query, retrieve, and render practices and templates with variable substitution
• In-repository Jira-like issue tracking system with a CLI manager for advanced project management
• 0 GitHub stars

Use Cases

• Standardizing multi-environment infrastructure deployments with consistent operational procedures and configuration management.
• Establishing and enforcing a unified Git workflow and branching strategy across development teams.
• Ensuring secure and predictable deployments in air-gapped or restricted environments through documented workflows.