MCP AI Agents: A Practical Guide to Building Context-Aware Agents with Claude, OpenAI, and Beyond
暫譯: MCP AI 代理：使用 Claude、OpenAI 等構建上下文感知代理的實用指南

Build Smarter AI Agents That Use Real-World Context - Files, APIs, Databases, and More

Are you tired of building chatbots that hallucinate, can't access external tools, or don't scale in real workflows?

MCP AI Agents is the hands-on, code-first guide you've been looking for. Whether you're a Claude developer, OpenAI user, or AI engineer building with LangGraph, LangChain, or CrewAI, this book shows you how to turn LLMs into fully capable, context-aware agents that interact with real-world data using the Model Context Protocol (MCP).

What You'll Learn

- What is MCP and why it matters for tool-using AI
- How to build JSON-RPC-compatible tool servers
- Step-by-step guides to integrate Claude, GPT-4, and local APIs
- Building agents that read PDFs, summarize text, query SQL, scrape the web, and generate reports
- Exporting results, generating PDFs, and emailing stakeholders
- Secure deployment using Docker, Railway, and Render
- Future-proofing with LangGraph and multi-agent orchestration (CrewAI)

Who This Book Is For

• AI developers working with Claude, OpenAI GPT-4, LangGraph, or Hugging Face
• Devs building retrieval-augmented generation (RAG) systems
• Teams looking to integrate LLMs into enterprise workflows
• Engineers exploring tool use, agent routing, and multi-step workflows

Includes Real-World Projects

• Business Report Generator using Claude + file tools
• Web Research Agent with scraping, summarization, and citations
• Personal Productivity Assistant that plans your day and sends reminders
• API-integrated agents that pull weather, finance, or news data
• Knowledge assistant powered by vector search (FAISS, Chroma)

Why MCP?

The Model Context Protocol (MCP) is the new gold standard for secure, interoperable, and tool-aware AI workflows. It powers next-generation agents that can reason, act, and adapt using real-time context.

Built for Production

- Environment configuration with .env
- API key security and access control
- Logging, monitoring, and rate-limiting
- Versioned tools and JSON manifest templates
- Companion GitHub repository with full source code

If you're serious about building agents that do more than chat, this book is your blueprint.
No fluff. All code. Real-world power.

Get your copy now and start building MCP agents that think, act, and deliver.