Garantía de entrega
Artículo: AMZ-B0FVPNZQQY
Model Context Protocol Demystified: A Developer’s Guide to Secure, Scalable AI Integrations with Model Context Protocol.
Format:
Kindle
Detalles del producto
Disponibilidad
Sin stock
Sin stock
Peso con empaque
0.84 kg
0.84 kg
Devolución
No
No
Condición
Nuevo
Nuevo
Producto de
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- The Model Context Protocol (MCP) is rapidly redefining how Large Language Models (LLMs) communicate with tools, APIs, and external systems. It bridges the gap between AI reasoning and real-world execution, enabling developers to create agentic AI systems that act intelligently, securely, and autonomously. As AI integration evolves beyond simple APIs, MCP stands as the future standard for secure interoperability, context sharing, and tool orchestration between models and applications.Jennings Grant, an experienced AI systems architect and developer educator, distills years of expertise in machine learning infrastructure, scalable AI design, and cloud-based integrations into this practical and hands-on guide. Backed by professional insight and real-world use cases, this book helps readers understand not just how MCP works, but how to use it to build production-grade, enterprise-ready AI solutions.Model Context Protocol Demystified is your roadmap to mastering secure, scalable, and interoperable AI architectures. It provides a detailed, step-by-step walkthrough of MCP’s structure, including servers, clients, tools, and data sources, and demonstrates how to connect LLMs to real-world systems with precision and control. From basic configuration to advanced deployment, every chapter helps developers move from theory to implementation with clarity and confidence.A clear breakdown of MCP architecture and workflow fundamentalsHow to set up and deploy MCP servers and clients effectivelyIntegrating tools, APIs, and data sources for intelligent agent behaviorConnecting LLMs through MCP to enable context-aware responsesBest practices for security, authentication, and data handlingReal-world case studies on DevOps automation, database integration, and enterprise AI systemsFuture-facing insights into multi-agent systems, AI protocols, and scalable deploymentsThis book is written for AI engineers, software developers, system architects, and technical professionals eager to deepen their understanding of model integration protocols and AI agent design. Whether you’re building your first AI-powered service or scaling enterprise-level infrastructure, this guide equips you with the knowledge and confidence to use MCP effectively and securely.Within a short span of reading, you’ll move from knowing little about MCP to designing, deploying, and optimizing intelligent, context-aware AI systems. Each chapter builds progressively, ensuring steady, meaningful learning without information overload.If you’re ready to master the next evolution of AI integration, streamline development workflows, and future-proof your projects with secure, scalable model connectivity, this book is your essential guide. Equip yourself with the tools and insights to build Agentic AI systems that think, adapt, and perform powered by the Model Context Protocol.
Sin stock
Seleccione otra opción o busque otro producto.
Este producto viaja
de USA ![]()
a tus manos en
![]()
a tus manos en
Compra protegida
Disfruta de una experiencia de compra segura y confiable
![]()
Garantía de entrega
Con Tiendamia todas tus compras cuentan con Garantía de Entrega o devolución total de tu dinero.
Compras 100% seguras y garantizadas, para que pidas lo que sueñas y lo recibas del mundo a tu puerta.
Tarjetas de Débito y Crédito
Visa
Mastercard
American Express
Dinners
Discover
Alias
Pagos a través de PayPal
Compra procesada en dólares con dinero en cuenta o tarjetas internacionales.
PayPal
.svg)
Garantía de entrega 