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{ "item_title" : "Mastering Model Context Protocol", "item_author" : [" Kevin Lowe "], "item_description" : "What if the future of artificial intelligence didn't depend on smarter models-but on smarter ways of making them work together?Mastering MCP: The Model Context Protocol for Intelligent AI Systems by Kevin Lowe is your definitive guide to the emerging standard reshaping how AI agents think, collaborate, and act. Far more than a technical manual, this book unlocks the blueprint for building intelligent, adaptive, and future-ready AI ecosystems.Inside, you'll discover how MCP transforms isolated models into powerful networks of interoperable agents capable of context-aware reasoning, seamless collaboration, and scalable deployment across industries. From core design principles to real-world enterprise strategies, this book delivers practical frameworks and hands-on code that take you from concept to execution with clarity and precision.By reading this book, you will: Learn how to design, test, and deploy MCP-driven systems that are efficient, reliable, and scalable.Gain insider knowledge of multi-agent collaboration, adaptive context modeling, and hybrid protocol integrations.Unlock strategies to future-proof your AI architectures for cloud, edge, and enterprise environments.Unlike generic AI development guides, Mastering MCP stands out by combining expert commentary, real-world lessons, and fully documented code examples-giving you both the theory and the tools to build intelligent systems that actually work.If you're a developer, researcher, or innovator ready to go beyond hype and master the protocol shaping the future of interconnected AI, this book is your roadmap.Don't just follow the evolution of AI-lead it. Start your journey into mastering MCP today.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/826/632/9798266328150_b.jpg", "price_data" : { "retail_price" : "26.88", "online_price" : "26.88", "our_price" : "26.88", "club_price" : "26.88", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mastering Model Context Protocol|Kevin Lowe

Mastering Model Context Protocol : Advanced Techniques for AI Integration

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Overview

What if the future of artificial intelligence didn't depend on smarter models-but on smarter ways of making them work together?

Mastering MCP: The Model Context Protocol for Intelligent AI Systems by Kevin Lowe is your definitive guide to the emerging standard reshaping how AI agents think, collaborate, and act. Far more than a technical manual, this book unlocks the blueprint for building intelligent, adaptive, and future-ready AI ecosystems.

Inside, you'll discover how MCP transforms isolated models into powerful networks of interoperable agents capable of context-aware reasoning, seamless collaboration, and scalable deployment across industries. From core design principles to real-world enterprise strategies, this book delivers practical frameworks and hands-on code that take you from concept to execution with clarity and precision.

By reading this book, you will:

  • Learn how to design, test, and deploy MCP-driven systems that are efficient, reliable, and scalable.

  • Gain insider knowledge of multi-agent collaboration, adaptive context modeling, and hybrid protocol integrations.

  • Unlock strategies to future-proof your AI architectures for cloud, edge, and enterprise environments.

Unlike generic AI development guides, Mastering MCP stands out by combining expert commentary, real-world lessons, and fully documented code examples-giving you both the theory and the tools to build intelligent systems that actually work.

If you're a developer, researcher, or innovator ready to go beyond hype and master the protocol shaping the future of interconnected AI, this book is your roadmap.

Don't just follow the evolution of AI-lead it. Start your journey into mastering MCP today.

This item is Non-Returnable

Details

  • ISBN-13: 9798266328150
  • ISBN-10: 9798266328150
  • Publisher: Independently Published
  • Publish Date: September 2025
  • Dimensions: 10 x 7 x 0.48 inches
  • Shipping Weight: 0.88 pounds
  • Page Count: 226

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