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Building MCP Servers: A Practical Python Guide to Model Context Protocol - From First Tool to Real-World Workflows
Paperback
Series: The Practical Tech Guide
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Publisher: Independently Published
Pages: 96
Weight: 0.31
Height: 0.20 Width: 6.00 Depth: 9.00
Language: English
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.
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