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Building MCP Servers. A Practical Python Guide to Model Context Protocol - From First Tool to Real-World Workflows
Quiet Line Press;Blue J. Lion
Building MCP Servers. A Practical Python Guide to Model Context Protocol - From First Tool to Real-World Workflows
Quiet Line Press;Blue J. Lion (Author) · Independently published · Paperback
Building MCP Servers. A Practical Python Guide to Model Context Protocol - From First Tool to Real-World Workflows
Quiet Line Press;Blue J. Lion
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 servicesThis 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 resultsThis 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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