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{ "item_title" : "Building MCP Servers", "item_author" : [" Quiet Line Press", "Blue J. Lion "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/819/613/9798196137563_b.jpg", "price_data" : { "retail_price" : "5.99", "online_price" : "5.99", "our_price" : "5.99", "club_price" : "5.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Building MCP Servers|Quiet Line Press

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

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Overview

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 services

Built around a real project

This 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 results

Who 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 server

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.

This item is Non-Returnable

Details

  • ISBN-13: 9798196137563
  • ISBN-10: 9798196137563
  • Publisher: Independently Published
  • Publish Date: May 2026
  • Dimensions: 9 x 6 x 0.2 inches
  • Shipping Weight: 0.31 pounds
  • Page Count: 96

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