{"product_id":"ai-agents-and-mcp-context-engineering-in-practice-boost-accuracy-streamline-multi-step-ai-tasks-and-harness-dynamic-tool-integration-for-real-worl-9798198543461","title":"AI Agents and MCP: Context Engineering in Practice: Boost Accuracy, Streamline Multi-Step AI Tasks, and Harness Dynamic Tool Integration for Real-Worl","description":"\u003cp\u003e • Author(s): Jefferson C. Phillips\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Natural Language Processing\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAI Agents and MCP: Context Engineering in Practice\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eBoost Accuracy, Streamline Multi-Step AI Tasks, and Harness Dynamic Tool Integration for Real-World Results\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003eAre your AI workflows struggling with inconsistencies, missed steps, or tool misalignments? Do multi-step tasks across agents feel unpredictable or error-prone? Modern AI requires more than raw computation-it demands \u003cb\u003econtext, coordination, and intelligent tool integration\u003c\/b\u003e to operate reliably in real-world environments.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAI Agents and MCP: Context Engineering in Practice\u003c\/b\u003e offers a clear, actionable blueprint for building \u003cb\u003econtext-aware, multi-agent AI systems\u003c\/b\u003e that perform with accuracy, efficiency, and resilience. This book teaches you how to \u003cb\u003estructure memory, manage distributed context, and integrate dynamic tools using Model Context Protocol (MCP)\u003c\/b\u003e to ensure consistent results across complex workflows.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eInside, you will learn how to: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eDesign \u003cb\u003econtext-rich memory architectures\u003c\/b\u003e for single and multi-agent systems\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eCoordinate AI agents for \u003cb\u003emulti-step, high-volume workflows\u003c\/b\u003e\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eIntegrate APIs and external tools dynamically, minimizing errors and redundancies\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003ePrevent common pitfalls like \u003cb\u003econtext bloat, hallucinations, and misaligned tool execution\u003c\/b\u003e\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eImplement \u003cb\u003eenterprise-ready governance, logging, and security measures\u003c\/b\u003e\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eApply \u003cb\u003epractical projects and real-world case studies\u003c\/b\u003e to reinforce learning\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWhether you are an AI engineer, data scientist, or enterprise architect, this book equips you with the \u003cb\u003eskills, templates, and best practices to scale AI agents confidently\u003c\/b\u003e while maintaining accuracy, auditability, and operational efficiency.\u003c\/p\u003e\u003cp\u003eStep beyond theory-learn \u003cb\u003ehow to build AI systems that are reliable, adaptable, and ready for real-world challenges\u003c\/b\u003e.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47890449563799,"sku":"9798198543461","price":2104.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798198543461.webp?v=1781180061","url":"https:\/\/atlanticbooks.com\/products\/ai-agents-and-mcp-context-engineering-in-practice-boost-accuracy-streamline-multi-step-ai-tasks-and-harness-dynamic-tool-integration-for-real-worl-9798198543461","provider":"Atlantic Books","version":"1.0","type":"link"}