{"product_id":"model-context-protocol-in-practice-designing-and-deploying-agentic-context-aware-ai-systems-with-mcp-python-langchain-and-langgraph-9798242328433","title":"Model Context Protocol in Practice: Designing and Deploying Agentic, Context-Aware AI Systems with MCP, Python, LangChain, and LangGraph","description":"\u003cp\u003e • Author(s): Raymond Norman\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Generative AI\u003c\/p\u003e\u003cp\u003e\u003cb\u003eModel Context Protocol in Practice\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eDesigning and Deploying Agentic, Context-Aware AI Systems with MCP, Python, LangChain, and LangGraph\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eBuild intelligent AI agents that reason, remember, adapt, and operate reliably in the real world.\u003cbr\u003eModern AI systems fail at scale because they are \u003cb\u003estateless, fragile, and context-blind\u003c\/b\u003e. To build truly intelligent applications-agents that can plan, act, learn, and evolve-you need \u003cb\u003ea new architectural foundation\u003c\/b\u003e.\u003cbr\u003e\u003cb\u003eModel Context Protocol in Practice \u003c\/b\u003eis the definitive, hands-on guide to designing, building, and deploying \u003cb\u003eagentic, context-aware AI systems \u003c\/b\u003eusing MCP, Python, LangChain, and LangGraph. This book goes far beyond theory, showing you how to engineer \u003cb\u003eproduction-grade AI agents \u003c\/b\u003ewith persistent memory, structured reasoning, secure tool access, and scalable orchestration. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003cbr\u003eThis book teaches you how to move from prompt-driven demos to real, autonomous AI systems: \u003cul\u003e\u003cli\u003e\u003cb\u003eContext Engineering at Scale\u003c\/b\u003e\u003c\/li\u003e\u003c\/ul\u003eLearn why stateless LLM apps fail-and how MCP turns context into a first-class system primitive.\u003cul\u003e\u003cli\u003e\u003cb\u003eAgentic System Design\u003c\/b\u003e\u003c\/li\u003e\u003c\/ul\u003eBuild agents that separate reasoning, action, and memory for predictable, testable intelligence.\u003cul\u003e\u003cli\u003e\u003cb\u003eModel Context Protocol (MCP) Deep Dive\u003c\/b\u003e\u003c\/li\u003e\u003c\/ul\u003eUnderstand hosts, clients, servers, tools, resources, and capability contracts-and how they work together.\u003cul\u003e\u003cli\u003e\u003cb\u003eLangChain \u0026amp; LangGraph Orchestration\u003c\/b\u003e\u003c\/li\u003e\u003c\/ul\u003eDesign event-driven, graph-based workflows that scale beyond linear chains.\u003cul\u003e\u003cli\u003e\u003cb\u003eMemory, RAG, and Knowledge Evolution\u003c\/b\u003e\u003c\/li\u003e\u003c\/ul\u003eImplement short-term memory, long-term memory, retrieval-augmented generation, and drift prevention.\u003cul\u003e\u003cli\u003e\u003cb\u003eAdaptive and Long-Lived Agents\u003c\/b\u003e\u003c\/li\u003e\u003c\/ul\u003eEnable agents to learn from feedback, update policies, and operate continuously over time.\u003cul\u003e\u003cli\u003e\u003cb\u003eSecurity, Safety, and Trust\u003c\/b\u003e\u003c\/li\u003e\u003c\/ul\u003eDefend against prompt injection, context poisoning, unsafe tool usage, and alignment failures.\u003cul\u003e\u003cli\u003e\u003cb\u003eProduction Readiness\u003c\/b\u003e\u003c\/li\u003e\u003c\/ul\u003eDeploy MCP systems with observability, versioning, backward compatibility, and scalability best practices. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat Makes This Book Different\u003c\/b\u003e\u003cbr\u003eUnlike existing MCP resources that focus narrowly on protocol mechanics or isolated examples, this book delivers: \u003cbr\u003e✔ \u003cb\u003eSystem-level thinking\u003c\/b\u003e, not just APIs\u003cbr\u003e✔ \u003cb\u003eEnd-to-end architectures, \u003c\/b\u003e not fragments\u003cbr\u003e✔ \u003cb\u003eProduction patterns\u003c\/b\u003e, not experiments\u003cbr\u003e✔ \u003cb\u003eHuman-in-the-loop and hybrid intelligence\u003c\/b\u003e, not unchecked autonomy\u003cbr\u003e✔ \u003cb\u003eFuture-proof design\u003c\/b\u003e, not vendor lock-in\u003cbr\u003eEach chapter builds toward real-world mastery, combining architectural principles with practical implementation strategies. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eAI \u0026amp; ML Engineers building agentic systems\u003c\/li\u003e\n\u003cli\u003ePython developers working with LLMs\u003c\/li\u003e\n\u003cli\u003eLangChain and LangGraph practitioners\u003c\/li\u003e\n\u003cli\u003ePlatform engineers and architects\u003c\/li\u003e\n\u003cli\u003eResearchers exploring context-aware intelligence\u003c\/li\u003e\n\u003cli\u003eTechnical leaders designing AI-native products\u003c\/li\u003e\n\u003c\/ul\u003eA working knowledge of Python and AI concepts is helpful, but this book takes you from foundational understanding to expert-level execution. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eBuild the Future of Intelligent Systems\u003c\/b\u003e\u003cbr\u003eAgentic AI is not about bigger models-it's about better systems.\u003cbr\u003eIf you want to build AI that remembers, reasons, collaborates, and evolves, this book gives you the architectural blueprints, engineering patterns, and practical insight to do it right.\u003cbr\u003e\u003cb\u003eDesign smarter agents. Harness context. Deploy intelligence that lasts.\u003c\/b\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47573064056983,"sku":"9798242328433","price":2140.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798242328433.webp?v=1774891899","url":"https:\/\/atlanticbooks.com\/products\/model-context-protocol-in-practice-designing-and-deploying-agentic-context-aware-ai-systems-with-mcp-python-langchain-and-langgraph-9798242328433","provider":"Atlantic Books","version":"1.0","type":"link"}