Model Context Protocol Servers in Practice: Designing Intelligent -Aware Systems, Tool Integration Layers, and Scalable Modern Interfaces (Modern Agentic AI Systems Series)
Language: English
Published by Independently published, 2026
- Softcover
- New
Seller: California Books, Miami, FL, U.S.A.California Books
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Condition: New
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- Title
- Model Context Protocol Servers in Practice: Designing Intelligent -Aware Systems, Tool Integration Layers, and Scalable Modern Interfaces (Modern Agentic AI Systems Series)
- Author
- Cypher, Camila
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798195125790
- Series
- Book 2 of 2: Modern Agentic AI Systems Series
The Model Context Protocol introduces a standardized way for language models to communicate with external systems. This book explores how to implement servers that act as intermediaries between models and the tools they rely on, enabling more reliable and organized interactions.
Readers will learn how to design systems that expose capabilities to models in a controlled manner, ensuring that tool usage is predictable and secure. The book explains how to structure requests, manage responses, and maintain context across interactions without creating fragile or tightly coupled systems.
Through practical examples, the book demonstrates how to build servers that connect AI applications to APIs, databases, and external services. It also covers how to manage state, handle multiple concurrent interactions, and design systems that can grow alongside evolving application needs.
This book is particularly valuable for developers working on platforms, automation systems, and advanced AI applications where consistency and scalability are essential. It focuses on creating clean interfaces between models and the environments they operate in, making it easier to extend functionality without rewriting core logic.
By working through the concepts and implementations presented, readers will gain the ability to build structured AI systems that are easier to maintain, integrate, and scale. The result is a more reliable foundation for developing modern applications powered by language models.
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California Books
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