What this book covers

Chapter 1, Introduction to the Model Context Protocol, introduces the Model Context Protocol, its historical background, and the fundamental problems it solves in AI application development. You’ll understand why MCP is essential for modern AI systems.

Chapter 2, Explaining the Model Context Protocol, provides a comprehensive deep dive into the MCP protocol itself, covering its architecture, key components (hosts, clients, servers), communication methods (STDIO and SSE), and the standard capabilities framework.

Chapter 3, Building and Testing Servers, focuses on practical server development using STDIO communication, covering server architecture, resource and tool implementation, and comprehensive testing strategies using inspector tools.

Chapter 4, Building SSE Servers, explores SSE-based server development, showing you how to build real-time, streaming MCP servers for more dynamic applications.

Chapter 5, Streamable HTTP, covers advanced HTTP streaming techniques for MCP servers, enabling you to build highly scalable and efficient server implementations.

Chapter 6, Advanced Servers, delves into sophisticated server patterns, advanced resource management, complex tool implementations, and production-ready server architectures.

Chapter 7, Building Clients, teaches you how to develop MCP clients, both standalone applications and those integrated with LLMs, covering client architecture and best practices.

Chapter 8, Consuming Servers, demonstrates how to effectively use MCP servers through various clients and tools, including Claude Desktop, VS Code agent mode, and custom client implementations.

Chapter 9, Sampling, explores advanced sampling techniques for AI applications, showing how to leverage MCP’s capabilities for sophisticated AI interactions and content generation.

Chapter 10, Elicitation, covers techniques for effective information elicitation in AI applications, demonstrating how to design systems that can intelligently gather and process information.

Chapter 11, Securing Your Application, addresses comprehensive security considerations for MCP applications, including authentication, authorization, data protection, and secure communication patterns.

Chapter 12, Bringing MCP Apps to Production, provides practical guidance on deploying MCP applications to production environments, covering scaling strategies, monitoring, and maintenance best practices.

Appendix, Building for the Web with Modern Python, offers a comprehensive primer on advanced Python features specifically relevant to MCP development, including async programming, context managers, type hints, and modern Python patterns.