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{ "item_title" : "Model Context Protocol (MCP) in AI Agents, 2nd Edition", "item_author" : [" Morgan Devline "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/828/545/9798285450696_b.jpg", "price_data" : { "retail_price" : "21.99", "online_price" : "21.99", "our_price" : "21.99", "club_price" : "21.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Model Context Protocol (MCP) in AI Agents, 2nd Edition|Morgan Devline

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

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9798285450696
  • ISBN-10: 9798285450696
  • Publisher: Independently Published
  • Publish Date: May 2025
  • Dimensions: 10 x 7 x 0.49 inches
  • Shipping Weight: 0.9 pounds
  • Page Count: 232

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