{"product_id":"model-context-protocol-mcp-in-morgan-devline-9798285450696","title":"Model Context Protocol (MCP) in AI Agents, 2nd Edition: The Ultimate Guide to Building Context-Aware, Integrated, and Intelligent AI Systems","description":"\u003cp\u003e\u003cb\u003eModel Context Protocol (MCP) in AI Agents, 2nd Edition\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eThe Ultimate Guide to Building Context-Aware, Integrated, and Intelligent AI Systems\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eIf 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 \u003cb\u003econtext-aware AI development\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eIn this fully updated \u003cb\u003e2nd Edition\u003c\/b\u003e, you'll master the \u003cb\u003eModel Context Protocol (MCP)\u003c\/b\u003e-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 \u003cb\u003ereliable, interoperable, and real-world-ready tools\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat's New in the Second Edition?\u003c\/b\u003e\u003cbr\u003e✅ Deep coverage of MCP v2.1 (structured context_spec, context_value, validation logic)\u003cbr\u003e✅ New full-stack projects: news summarizer, doc retriever, financial dashboard agents\u003cbr\u003e✅ Native integration patterns with Claude, GPT-4-turbo tools, and OpenAI Assistants v2\u003cbr\u003e✅ Multi-agent context routing and shared context architectures\u003cbr\u003e✅ Advanced scaling strategies: Docker, Redis, n8n, OpenTelemetry, and load balancing\u003cbr\u003e✅ Security, privacy, and compliant context sharing built-in\u003c\/p\u003e\u003cp\u003e\u003cb\u003eInside You'll Learn How To: \u003c\/b\u003e\u003cbr\u003e✔ Build your own MCP-compliant context servers with FastAPI\u003cbr\u003e✔ Connect agents to live APIs, file systems, databases, and embeddings\u003cbr\u003e✔ Implement stateless, testable context handlers for any agent runtime\u003cbr\u003e✔ Cache, scale, and monitor context pipelines in production\u003cbr\u003e✔ Use MCP in LangGraph, CrewAI, and AutoGen workflows\u003cbr\u003e✔ Future-proof your LLM stack with interoperable agent design\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBuilt for real-world engineers\u003c\/b\u003e, this book includes runnable code, test payloads, curl-ready examples, no-fluff architectural guidance, and GitHub companion resources.\u003c\/p\u003e\u003cp\u003eWhether you're integrating with GPT, Claude, or rolling your own multi-agent crew, \u003cb\u003eModel Context Protocol (MCP) in AI Agents\u003c\/b\u003e gives you the tools, patterns, and precision you need to build the next generation of \u003cb\u003emodular, intelligent, context-aware AI systems\u003c\/b\u003e.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Morgan Devline\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798285450696\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 05\/27\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 232\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.90lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.49d","brand":"Morgan Devline","offers":[{"title":"Paperback","offer_id":47040072319231,"sku":"9798285450696","price":21.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_92f4dc23-d44f-475d-b1fa-fe5504d8703e.jpg?v=1752753476","url":"https:\/\/www.whiterainbookhouse.com\/products\/model-context-protocol-mcp-in-morgan-devline-9798285450696","provider":"WR Book House","version":"1.0","type":"link"}