Mastering Model Context Protocol (MCP): Build AI Agents, Connected Tools, MCP Servers, Secure Workflows, and Next-Generation Systems

Master Model Context Protocol (MCP) and learn how to build AI agents that securely connect to real tools, data, APIs, applications, and production systems. >Mastering Model Context Protocol (MCP) is a practical guide to designing, building, securing, testing, and deploying MCP-powered AI systems. Inside, you will learn how to: - Understand MCP hosts, clients, servers, tools, resources, and prompts - Build MCP servers with practical Python examples - Create reliable tools with structured inputs and outputs - Connect AI agents to APIs, databases, files, and business services - Build MCP clients and work with multiple servers - Design remote MCP services with Streamable HTTP - Create long-running and interactive agent workflows - Work with MCP Apps and human approval experiences - Apply authentication, authorization, least privilege, and secure credential handling - Protect MCP systems against prompt injection and unsafe tool execution - Test, debug, trace, and monitor MCP applications - Containerize, deploy, and scale production MCP servers - Understand modern MCP architecture, compatibility, and the major changes introduced in the 2026 protocol generation The book concludes with a complete production MCP system, bringing together AI agents, tools, resources, external services, security controls, observability, deployment, scaling, and testing into one practical architecture. Whether you are an AI engineer, software developer, agent developer, Python programmer, platform engineer, or technical architect, this book will help you move beyond basic MCP examples and build connected AI systems designed for real-world use. Move from isolated AI models to secure, tool-connected agentic systems. Get your copy of Mastering Model Context Protocol (MCP) and start building production-ready MCP applications today.