Agentic AI with MCP: Build Structured Multi-Agent Systems with Model-Text Protocol Servers, LangChain, and Large Language Models
商品資訊
ISBN13：9798287399009
出版社：Independently published
作者：Nathan Steele
出版日：2025/06/09
裝訂：平裝
規格：25.4cm*17.8cm*1.5cm (高/寬/厚)
商品簡介
Agentic AI with MCP
Build Structured Multi-Agent Systems with Model-Text Protocol Servers, LangChain, and Large Language Models
Unlock 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 flows
Integration of LangChain memory, AutoGen histories, and vector databases
Task-based collaboration with CrewAI and function-calling agents
Secure design practices: sandboxing, red teaming, audit logging, and oversight
Deploying scalable agents with FastAPI, Docker, Fly.io, and background services
Real-world use cases: AI developer assistants, legal PDF agents, alert triage bots, and more
AgentOps: Evaluating and tuning agents in production environments
Who This Book Is For:
AI developers and engineers working with LLMs and orchestration frameworks
Backend and platform teams exploring multi-agent coordination
Technical founders and automation specialists designing autonomous workflows
Anyone building AI agents using LangChain, OpenAI, Claude, or custom APIs
Whether 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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