AI Agents with MCP: Model Context Protocol for Building Clients, Servers, and End-To-End Agents (Paperback)
暫譯: 使用 MCP 建構 AI 代理：用於打造用戶端、伺服器與端到端代理的 Model Context Protocol
Stratis, Kyle
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商品描述
Since its release in late 2024, Anthropic's Model Context Protocol (MCP) has redefined how developers build and connect AI agents to tools, data, and each other. AI Agents with MCP is the first comprehensive guide to this rapidly emerging standard, helping engineers unlock its full potential with hands-on projects. Whether you're developing agentic workflows, bridging tools across platforms, or creating robust multiagent systems, this book walks you through every layer of MCP--from protocol structure to server and client implementation.
Author Kyle Stratis provides the practical expertise needed to build fully functional MCP servers, clients, and more. Unlike high-level overviews or fragmented documentation, this book gives you a deep systems-level understanding of MCP's capabilities--and limitations. With its flexible, model-agnostic design, MCP continues to gain traction across the generative AI community; this book ensures you're ready to build with it confidently and effectively.
- Understand the structure and core concepts of the Model Context Protocol
- Build complete MCP servers, clients, and transport layers in Python
- Consume tools, prompts, and data via MCP-based agent workflows
- Extend agent capabilities with MCP for large-scale and AI-native systems
商品描述(中文翻譯)
自 2024 年底發布以來，Anthropic 的 Model Context Protocol（模型上下文協定，MCP）重新定義了開發人員建置 AI agents，以及將 AI agents 與工具、資料和彼此連接的方式。《AI Agents with MCP》是第一本完整介紹這項快速發展標準的指南，透過實作專案協助工程師發揮 MCP 的全部潛力。無論您是開發代理式工作流程、跨平台串接工具，或建立穩健的多代理系統，本書都將逐層帶您了解 MCP，從協定結構到伺服器與用戶端的實作。
作者 Kyle Stratis 提供建置完整可運作 MCP 伺服器、用戶端及其他元件所需的實務專業知識。不同於高層次的概覽或零散的文件，本書將帶您深入理解 MCP 在系統層級的功能與限制。MCP 採用彈性且與模型無關（model-agnostic）的設計，持續在生成式 AI 社群中獲得廣泛採用；本書將確保您能夠充滿信心且有效率地運用 MCP 進行建置。
• 了解 Model Context Protocol 的結構與核心概念
• 使用 Python 建置完整的 MCP 伺服器、用戶端與傳輸層
• 透過以 MCP 為基礎的代理工作流程使用工具、提示與資料
• 運用 MCP 擴充代理能力，打造大規模且 AI 原生的系統
