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 learnThis book is centered on a practical, open-source MCP server that:
This 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.
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Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Paperback. Zustand: new. Paperback. 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 learnWhat MCP is and why it mattersHow MCP servers communicate using JSON-RPC and transports like stdio and HTTPHow to build tools, resources, and prompts with clear, structured contractsHow to run and test a local MCP server step by stepHow to connect your server to clients like VS Code and MCP InspectorHow to design safe, production-leaning tools with stable outputsHow 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 imagesDetects privacy-sensitive fields such as GPS dataSafely removes metadata with clear, predictable behaviorDemonstrates batch workflows and structured resultsWho this book is forDevelopers and builders exploring MCPAI engineers working with tools and integrationsTechnical creators who prefer learning by doingAnyone 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798196137563
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9798196137563
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Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Paperback. Zustand: new. Paperback. 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 learnWhat MCP is and why it mattersHow MCP servers communicate using JSON-RPC and transports like stdio and HTTPHow to build tools, resources, and prompts with clear, structured contractsHow to run and test a local MCP server step by stepHow to connect your server to clients like VS Code and MCP InspectorHow to design safe, production-leaning tools with stable outputsHow 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 imagesDetects privacy-sensitive fields such as GPS dataSafely removes metadata with clear, predictable behaviorDemonstrates batch workflows and structured resultsWho this book is forDevelopers and builders exploring MCPAI engineers working with tools and integrationsTechnical creators who prefer learning by doingAnyone 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798196137563
Anzahl: 1 verfügbar