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Model Context Protocol (MCP) The Practical Guide to Building AI Agents: Connect LLMs to Your Tools, Data, and APIs to Unlock Real-World Automation
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Publisher: Independently Published
Published: Sep 17 2025
Pages: 268
Weight: 1.04
Height: 0.56 Width: 7.00 Depth: 10.00
Language: English
Are you tired of fragmented integrations and brittle API pipelines? Do your AI systems lack real-time context and fail to scale? This book is your definitive solution. Model Context Protocol (MCP): The Practical Guide to Building AI Agents takes you from foundational concepts to advanced, hands-on implementation, empowering you to build intelligent, context-aware, and scalable AI applications.
Design and Implement MCP Architectures: Understand the core framework-including hosts, clients, and servers-to create robust, context-aware systems from the ground up.
Build Powerful, Integrated Agents: Connect your AI models to external tools, databases, and APIs with a single, universal protocol, eliminating the need for complex, one-off connectors.6
Apply Practical, Real-World Examples: Go beyond theory with detailed, step-by-step tutorials and case studies. Learn how to build agents that can fetch live data, automate workflows, and interact with the real world.
Ensure Security and Scalability: Discover best practices for handling permissions, sandboxing, and data privacy within your AI integrations, building future-proof systems that grow without the usual headaches.
Whether you're a software engineer, AI developer, or technical architect, this book provides the hands-on expertise you need to stay ahead of the curve. Stop building siloed, static AI. Start building the next generation of intelligent, collaborative, and secure AI systems.
This is more than a book-it's the practical guide you need to build the future of AI.
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