Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Zjistit stav objednávky

Staňte se součástí komunity milovníků knih z celého světa a získejte hromadu výhod. Založit účet zdarma

Doprava zdarma se Zásilkovnou nad 1 499 Kč

Kurýr DPD 69 Kč PPL shop 49 Kč Balíkovna 69 Kč PPL kurýr 74 Kč PPL box 39 Kč Balíkovna 49 Kč Výdejní místo DPD 49 Kč Zásilkovna 39 Kč

Kontakt

Jak nakupovat

Pomoc

Můj účet

▸ Prázdný :-(

Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

MCP Server Development for Context-Aware AI

Name: MCP Server Development for Context-Aware AI
Brand: Independently published
SKU: 50513615
Price: 341 CZK
Availability: InStock
Author: Tyrell Owen
ISBN: 9798261839651

Build Scalable, Secure, Memory-Enabled AI Systems with OpenAI, Claude, LangChain, Vector Databases, and Multi-Agent Workflows

Tyrell Owen

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 50513615

Nakladatelství Independently published, prosinec 2025

Discover the ultimate guide to building context-aware AI systems with MCP Server Development for Con... Celý popis

Libristo kód: 50513615

34 b

341 Kč

Skladem u dodavatele Odesíláme za 9-15 dnů

30 dní na vrácení zboží

Discover the ultimate guide to building context-aware AI systems with MCP Server Development for Context-Aware AI by Tyrell Owen. This hands-on, developer-focused guide takes you step by step through designing, implementing, and scaling Model Context Protocol (MCP) servers that power the next generation of intelligent applications. Whether you're a developer, AI engineer, or enterprise architect, this book equips you with the tools and techniques to build robust, secure, and production-ready AI systems.
Inside this book, you'll learn how to:

Architect Context-Aware Servers: Understand MCP architecture, JSON-RPC protocols, snapshot and delta memory management, and persistent memory with vector databases.
Build Hands-On Projects: Implement real-world systems including chatbots, knowledge-base servers, and automated workflows integrating OpenAI, Claude, and LangChain.
Secure and Comply: Design servers with GDPR and CCPA-compliant memory handling, structured logging, red-team simulations, and context isolation for enterprise-grade security.
Scale and Automate: Deploy servers with Docker and Kubernetes, configure CI/CD pipelines, implement predictive monitoring, dashboards, S3 publishing, Slack/Teams notifications, and auto-remediation.
Troubleshoot and Optimize: Utilize error matrices, memory harnesses, structured logging schemas, and diagnostic exercises to ensure resilient and efficient AI servers.

Who This Book Is For:

Developers creating LLM-backed systems that require context-awareness and persistent memory.
Engineers and DevOps professionals responsible for secure, compliant, and scalable AI deployments.
AI architects and technical leads exploring multi-agent workflows, LangChain integrations, and enterprise MCP systems.

Why You'll Love This Book:

Hands-On and Practical: All examples are runnable and production-ready. Clone the companion GitHub repository to deploy real MCP servers.
Enterprise-Ready: Built with best practices in security, observability, self-healing, and automation.
Future-Proof: Covers predictive analytics, anomaly detection, multi-agent workflows, and scalable context pipelines.
Engaging Learning Experience: Includes scenario-based explanations, troubleshooting exercises, quizzes, and checklists to reinforce learning.

From building a chatbot that remembers weeks of interactions to orchestrating a complex multi-agent AI workflow, this book is your blueprint to smarter, safer, and scalable context-aware AI systems.
Take the next step in your AI journey, grab MCP Server Development for Context-Aware AI today and start building the intelligent, context-driven systems of tomorrow.