Claude Code and MCP: Build and Automate with Terminal AI Agents

Traditional coding workflows often require constant context-switching between your editor, terminal, and browser. By leveraging terminal-based AI agents, you can streamline your development process and interact directly with your codebase and external tools. This text-only course guides you through the foundational concepts of Claude Code and the Model Context Protocol (MCP). You will learn how to configure these tools, connect external data sources, and collaborate with an AI assistant to build features, refactor code, and manage version control workflows directly from your command line. What you'll learn: Understand the core architecture of Claude Code and the Model Context Protocol (MCP); Configure and secure MCP servers to connect your terminal agent to external tools and databases; Direct AI agents to analyze codebases, write clean features, and implement styling updates; Manage version control tasks, including staging changes and submitting pull requests, using natural language; Apply prompt engineering best practices tailored specifically for terminal-based coding interactions. The course begins with key terminology and environment setup before moving on to practical integration scenarios. You will read through step-by-step explanations of configuring MCP servers, modifying existing applications, and automating daily developer workflows. This course is designed for beginner to intermediate developers who want to integrate AI into their local development environment. No prior experience with Claude Code or MCP is required. Start reading today to transform your development workflow with terminal-based AI agents.