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MCP Architecture & Development: A Comprehensive Handbook for Building Tools, Servers, and LLM Workflows Using the Model Context Protocol
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Publisher: Independently Published
Published: Dec 12 2025
Pages: 144
Weight: 0.58
Height: 0.31 Width: 7.00 Depth: 10.00
Language: English
What if the biggest breakthroughs in AI aren't coming from bigger models, but from the systems that finally let them use tools intelligently?
This book answers that question with a definitive guide to the Model Context Protocol (MCP), the new global standard reshaping how LLMs interact with data, APIs, systems, and enterprise workflows.
MCP Architecture & Development is a comprehensive, hands-on handbook that shows developers, architects, and AI engineers how to design, build, deploy, and scale powerful MCP servers, clients, and multi-step workflows. It gives you the exact patterns, techniques, and practices used by the world's leading AI teams-translated into clear explanations and practical, ready-to-apply steps.
This is not a theoretical overview. It's a field manual for building real systems that work.
Readers will learn how to:
- Build production-ready MCP servers that expose tools, data sources, and capabilities to advanced LLMs
- Connect Claude, ChatGPT, and Gemini through secure, high-trust workflows
- Create multi-step automations, agentic behaviors, and enterprise-grade toolchains
- Apply robust security practices that protect against modern threats such as prompt injection and tool misuse
- Deploy MCP systems at scale across cloud, hybrid, and on-prem environments
- Optimize performance using tasks, extensions, server-side sampling, and modular architectures
What sets this book apart from every other AI or developer guide is its complete, end-to-end approach.
You're not just shown how MCP works-you're guided through building real implementations, understanding real architectures, solving real integration problems, and following patterns that truly scale. Every chapter is built to teach through clarity, practicality, and authenticity.
Whether you're developing AI tools, architecting enterprise workflows, integrating APIs, or building next-generation agentic systems, this book gives you the foundation and confidence to create MCP solutions that are reliable, secure, and future-ready.
If you're serious about building the AI systems of tomorrow, start here.
Take the next step, transform the way you build with LLMs and unlock the full power of MCP today.
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