Getting Started with MCP Servers in VS Code and GitHub Copilot

AI-assisted development is incredibly powerful, but generic AI assistants often lack access to your real-time local data, tools, and secure repositories. The Model Context Protocol (MCP) solves this by establishing a secure, standardized bridge between your development environment and LLMs. In this text-only course, you will transition from using isolated AI chat windows to building a deeply integrated development environment. You will learn to configure MCP servers that allow your AI assistants to read repository data, interact with external APIs, and execute tasks directly inside VS Code. What you'll learn: - Understand the core architecture, terminology, and security models of the Model Context Protocol (MCP). - Configure and run the GitHub MCP server to grant your AI assistant secure access to issues, pull requests, and repository data. - Integrate MCP servers seamlessly with VS Code and compatible AI tools like GitHub Copilot. - Explore how to read, debug, and troubleshoot server connection logs and configuration files. - Discover the fundamentals of building or customizing your own basic MCP server to connect unique data sources. This written guide starts with foundational definitions of MCP clients, servers, and hosts, before moving into step-by-step setup guides, configuration examples, and practical workflows for modern development. This course is designed for software developers, engineers, and tech enthusiasts who want to maximize their AI productivity, and no prior experience with MCP is required. Step into the future of context-aware software development and start building smarter today.