Model Context Protocol (MCP) in AI Agents, 2nd Edition (Paperback)

Morgan Devline

ISBN 13: 9798285450696

Published by Independently Published, 2025

About this Item

Paperback. Model Context Protocol (MCP) in AI Agents, 2nd EditionThe Ultimate Guide to Building Context-Aware, Integrated, and Intelligent AI SystemsIf you're building with large language models (LLMs), multi-agent AI systems, or next-gen automation tools like OpenAI Assistants, AutoGen, LangChain, Claude, or CrewAI-this book is your blueprint for context-aware AI development.In this fully updated 2nd Edition, you'll master the Model Context Protocol (MCP)-a breakthrough open standard that bridges LLMs with live, structured external data using clean JSON-RPC calls. Whether you're a developer, ML engineer, system architect, or product builder, this guide shows you how to scale AI agents beyond simple prompts into reliable, interoperable, and real-world-ready tools.What's New in the Second Edition? Deep coverage of MCP v2.1 (structured context_spec, context_value, validation logic) New full-stack projects: news summarizer, doc retriever, financial dashboard agents Native integration patterns with Claude, GPT-4-turbo tools, and OpenAI Assistants v2 Multi-agent context routing and shared context architectures Advanced scaling strategies: Docker, Redis, n8n, OpenTelemetry, and load balancing Security, privacy, and compliant context sharing built-inInside You'll Learn How To: Build your own MCP-compliant context servers with FastAPI Connect agents to live APIs, file systems, databases, and embeddings Implement stateless, testable context handlers for any agent runtime Cache, scale, and monitor context pipelines in production Use MCP in LangGraph, CrewAI, and AutoGen workflows Future-proof your LLM stack with interoperable agent designBuilt for real-world engineers, this book includes runnable code, test payloads, curl-ready examples, no-fluff architectural guidance, and GitHub companion resources.Whether you're integrating with GPT, Claude, or rolling your own multi-agent crew, Model Context Protocol (MCP) in AI Agents gives you the tools, patterns, and precision you need to build the next generation of modular, intelligent, context-aware AI systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9798285450696

Bibliographic Details

• Title: Model Context Protocol (MCP) in AI Agents, 2nd Edition (Paperback)
• Publisher: Independently Published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798285450696
• Binding: Paperback
• Condition: new

About this title

Synopsis

Model Context Protocol (MCP) in AI Agents, 2nd Edition
The Ultimate Guide to Building Context-Aware, Integrated, and Intelligent AI Systems

If you're building with large language models (LLMs), multi-agent AI systems, or next-gen automation tools like OpenAI Assistants, AutoGen, LangChain, Claude, or CrewAI—this book is your blueprint for context-aware AI development.

In this fully updated 2nd Edition, you’ll master the Model Context Protocol (MCP)—a breakthrough open standard that bridges LLMs with live, structured external data using clean JSON-RPC calls. Whether you're a developer, ML engineer, system architect, or product builder, this guide shows you how to scale AI agents beyond simple prompts into reliable, interoperable, and real-world-ready tools.

What’s New in the Second Edition?
✅ Deep coverage of MCP v2.1 (structured context_spec, context_value, validation logic)
✅ New full-stack projects: news summarizer, doc retriever, financial dashboard agents
✅ Native integration patterns with Claude, GPT-4-turbo tools, and OpenAI Assistants v2
✅ Multi-agent context routing and shared context architectures
✅ Advanced scaling strategies: Docker, Redis, n8n, OpenTelemetry, and load balancing
✅ Security, privacy, and compliant context sharing built-in

Inside You'll Learn How To:
✔ Build your own MCP-compliant context servers with FastAPI
✔ Connect agents to live APIs, file systems, databases, and embeddings
✔ Implement stateless, testable context handlers for any agent runtime
✔ Cache, scale, and monitor context pipelines in production
✔ Use MCP in LangGraph, CrewAI, and AutoGen workflows
✔ Future-proof your LLM stack with interoperable agent design

Built for real-world engineers, this book includes runnable code, test payloads, curl-ready examples, no-fluff architectural guidance, and GitHub companion resources.

Whether you’re integrating with GPT, Claude, or rolling your own multi-agent crew, Model Context Protocol (MCP) in AI Agents gives you the tools, patterns, and precision you need to build the next generation of modular, intelligent, context-aware AI systems.