What if your AI applications could connect to tools, data, APIs, and real-world systems through one consistent protocol?Model Context Protocol for Developers gives you a practical, developer-focused guide to building AI applications that can interact with external capabilities through MCP. Instead of treating MCP as another abstract AI concept, you’ll learn how its architecture works, how its components communicate, and how to build reliable MCP-powered applications from the ground up.Model Context Protocol for Developers(1).docxYou’ll learn how to:Understand MCP architecture, including hosts, clients, servers, capabilities, and transportsBuild MCP servers that expose tools, resources, and promptsCreate and connect MCP clients and understand JSON-RPC communicationConnect AI applications to APIs, databases, files, Git repositories, and external servicesWork with multiple MCP servers and design tools that are reliable and model-friendlyUse modern MCP features including stateless architecture, long-running operations, extensions, and MCP AppsApply authentication, authorization, security boundaries, and production safeguardsProtect applications against prompt injection, tool poisoning, and data exfiltrationTest, monitor, optimize, deploy, and scale production-ready MCP applicationsModel Context Protocol for Developers(1).docxHow do MCP tools actually communicate? What belongs in a tool, resource, or prompt? When should you use stdio versus Streamable HTTP? And how do you build MCP systems that remain secure and dependable in production? This book answers those questions with practical explanations, examples, exercises, and real software-engineering guidance.Model Context Protocol for Developers(1).docxWhether you’re a Python or JavaScript/TypeScript developer, AI engineer, backend developer, or software developer exploring agentic AI, this book gives you the foundation to build applications that connect AI models with the systems they need to get useful work done.Start building with Model Context Protocol today. Get your copy and put MCP to work in your next AI application. Read more
