Advanced MCP Server Development: Building Context-Aware AI Agents with Express.js & Node.js (eBook, ePUB)
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Advanced MCP Server Development: Building Context-Aware AI Agents with Express.js & Node.js is a comprehensive guide for developers aiming to master the next generation of intelligent agent systems. This book explores the Model Context Protocol (MCP), a cutting-edge standard designed to unify and secure how AI agents access, process, and act on real-time contextual data. Readers will learn how to architect robust MCP servers using Express.js and Node.js, enabling seamless, secure, and scalable integration with diverse data sources and tools.The book covers everything from foundational MCP conc...
Advanced MCP Server Development: Building Context-Aware AI Agents with Express.js & Node.js is a comprehensive guide for developers aiming to master the next generation of intelligent agent systems. This book explores the Model Context Protocol (MCP), a cutting-edge standard designed to unify and secure how AI agents access, process, and act on real-time contextual data. Readers will learn how to architect robust MCP servers using Express.js and Node.js, enabling seamless, secure, and scalable integration with diverse data sources and tools.
The book covers everything from foundational MCP concepts and server setup to advanced topics like multi-agent collaboration, secure authentication, and dynamic context management. Through practical examples, real-world use cases, and step-by-step tutorials, developers will discover how to build agents that can interact conversationally, enforce granular security policies, and orchestrate complex workflows across multiple platforms. Special attention is given to best practices in performance, logging, and compliance, ensuring solutions are enterprise-ready. Whether you're building for cloud, enterprise, or innovative AI applications, this book provides the tools, architectural patterns, and insights needed to stay ahead in the rapidly evolving agentic AI landscape
The book covers everything from foundational MCP concepts and server setup to advanced topics like multi-agent collaboration, secure authentication, and dynamic context management. Through practical examples, real-world use cases, and step-by-step tutorials, developers will discover how to build agents that can interact conversationally, enforce granular security policies, and orchestrate complex workflows across multiple platforms. Special attention is given to best practices in performance, logging, and compliance, ensuring solutions are enterprise-ready. Whether you're building for cloud, enterprise, or innovative AI applications, this book provides the tools, architectural patterns, and insights needed to stay ahead in the rapidly evolving agentic AI landscape
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