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
Includes Real-World Projects
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.
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