Managing Azure DevOps with MCP Server and GitHub Copilot

AI-driven workflows are transforming how we interact with development platforms. If you want to manage projects, track tasks, and control pipelines using conversational commands instead of manual navigation, this text-based course is your starting point. You will learn how to connect your AI assistant to your development environment using the Model Context Protocol (MCP). By reading through structured concepts and practical configuration guides, you will build a solid understanding of how to securely bridge natural language prompts with Azure DevOps APIs. What you will learn: Understand the fundamentals of the Model Context Protocol and how it enables tool calling; Configure an MCP server locally to communicate securely with Azure DevOps; Manage work items, queries, and project backlogs using natural language commands; Interact with pull requests, repositories, and pipelines through your AI assistant; Apply security best practices for token management and access control. The course starts with essential definitions of MCP architecture and credential setup before moving into configuration files and practical natural language workflows. Designed for developers, project managers, and DevOps beginners who want to leverage AI assistants to streamline their daily tasks, this course requires no prior experience with MCP. Start reading today to simplify your development lifecycle with natural language DevOps.