October 2025
Intermediate to advanced
304 pages
5h 36m
English
Overview
This book is an in-depth introduction to the Model Context Protocol (MCP), a modern standard that vastly simplifies the development and deployment of agentic systems. Readers will learn how to build scalable and secure AI-integrated applications in Python and TypeScript using practical examples and tools tailored to MCP. Gain mastery over building and consuming MCP servers and clients effectively.
What this Book will help me do
- Understand the key principles and structure of the Model Context Protocol (MCP) and its role in modern AI applications.
- Gain hands-on experience building MCP servers and exposing AI tools via this protocol.
- Learn effective techniques for testing and debugging client-server interactions within the MCP framework.
- Develop applications for both machine-learning based (LLM) and traditional (non-LLM) clients and deploying them seamlessly.
- Master the security and cloud-based deployment strategies for MCP-based agentic systems.
Author(s)
Christoffer Noring is an experienced developer, author, and educator who has contributed to several advanced books and tutorials on modern programming and technology. Having taught at esteemed institutions and worked on cutting-edge projects, Christoffer combines his technical expertise with a knack for making complex topics approachable. Readers can look forward to an engaging and insightful journey into MCP.
Who is it for?
This book is perfect for software developers, architects, and AI enthusiasts aiming to transition to using the Model Context Protocol for robust agentic systems. It is particularly suited for those with some familiarity in web development and AI principles, looking to improve their skills in leveraging modern standards for scalable, distributed AI applications.
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