Connecting MCP Servers with Claude Code

As AI assistants become core to the developer workflow, the ability to connect them safely to your actual development environment is crucial. Model Context Protocol (MCP) serves as the open standard that bridges the gap between AI models and your local tools, databases, and APIs. This course teaches you how to configure and run MCP servers to supercharge Claude Code. You will progress from understanding core protocol concepts to securely linking external data sources, enabling your AI agent to read databases, execute local scripts, and interact with web APIs in real time. What you'll learn: - Understand the foundational architecture of the Model Context Protocol (MCP) and how it communicates with Claude Code. - Configure local and remote MCP servers using standard JSON configuration files. - Connect databases, local file directories, and external APIs to your AI developer agent. - Implement secure environment variable management to protect sensitive API keys and credentials. - Debug connection issues and inspect protocol payloads using terminal-based troubleshooting techniques. You will start with essential terminology and protocol basics before moving into hands-on configuration files, step-by-step setup guides, and practical debugging scenarios. This text-based course is designed for developers and tech enthusiasts new to MCP; no prior experience with AI protocols is required, though basic command-line familiarity is helpful. Start reading today to unlock the full potential of context-aware AI development.