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Agentic AI with MCP: Build Structured Multi-Agent Systems with Model-Text Protocol Servers, LangChain, and Large Language Models (Building Intelligent Agents: The Complete Framework Series)
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.66 kg
0.66 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Agentic AI with MCP Build Structured Multi-Agent Systems with Model-Text Protocol Servers, LangChain, and Large Language ModelsUnlock the future of intelligent software systems with Agentic AI and Model-Text Protocols (MCP)—the new frontier of AI engineering.This cutting-edge guide walks you through building structured multi-agent systems using LangChain, AutoGen, CrewAI, and LLM orchestration protocols. Whether you’re designing an autonomous assistant, coordinating agents for knowledge work, or scaling tools in production with FastAPI, this book offers a practical, professional blueprint grounded in real-world applications and 2025 best practices.You’ll learn how to design agent workflows, implement shared memory and vector stores, coordinate tools and roles, prevent hallucinations and output leakage, and deploy agents at scale using cloud-native architectures. From MCP message schemas to role-based prompt engineering, every concept is backed with actionable examples and battle-tested implementations. Inside You'll Discover:How to architect agentic systems using MCP schemas and protocol flowsIntegration of LangChain memory, AutoGen histories, and vector databasesTask-based collaboration with CrewAI and function-calling agentsSecure design practices: sandboxing, red teaming, audit logging, and oversightDeploying scalable agents with FastAPI, Docker, Fly.io, and background servicesReal-world use cases: AI developer assistants, legal PDF agents, alert triage bots, and moreAgentOps: Evaluating and tuning agents in production environments Who This Book Is For:AI developers and engineers working with LLMs and orchestration frameworksBackend and platform teams exploring multi-agent coordinationTechnical founders and automation specialists designing autonomous workflowsAnyone building AI agents using LangChain, OpenAI, Claude, or custom APIsWhether you're building a single-agent tool or coordinating fleets of autonomous workers, Agentic AI with MCP is your trusted guide to building reliable, secure, and scalable agent systems.
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