Building MCP Servers: A Practical Python Guide to Model Context Protocol — From First Tool to Real-World Workflows (The Practical Tech Guide Series) - Softcover

Building MCP Servers : A Practical Python Guide to Model Context Protocol - From First Tool to Real-World Workflows

Taschenbuch. Zustand: Neu. Neuware - Build real MCP servers - without the confusion.Model Context Protocol (MCP) is quickly becoming a standard way for AI systems to connect with tools, data, and workflows. But most explanations are abstract, fragmented, or overly complex.This book takes a practice-first approach.You will learn MCP through a real Python project: a working MCP server that inspects and removes EXIF metadata from images. Along the way, you will see how MCP works in practice: how clients discover capabilities, how structured calls flow through the system, and how to design servers that are safe, predictable, and useful.What you will learn- What MCP is and why it matters- How MCP servers communicate using JSON-RPC and transports like stdio and HTTP- How to build tools, resources, and prompts with clear, structured contracts- How to run and test a local MCP server step by step- How to connect your server to clients like VS Code and MCP Inspector- How to design safe, production-leaning tools with stable outputs- How to extend a real project into your own MCP servicesBuilt around a real projectThis book is centered on a practical, open-source MCP server that: - Reads and analyzes EXIF metadata from images- Detects privacy-sensitive fields such as GPS data- Safely removes metadata with clear, predictable behavior- Demonstrates batch workflows and structured resultsWho this book is for- Developers and builders exploring MCP- AI engineers working with tools and integrations- Technical creators who prefer learning by doing- Anyone looking for a clear, concrete example of a real MCP serverThis is not a deep Python tutorial or a computer vision book.It is a focused, hands-on guide to building MCP servers that actually work. Artikel-Nr. 9798196137563

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