AI Agents with MCP

Build the Next Generation of AI Agents with MCP

The future of AI isn't just about smarter models-it's about smarter systems. With the Model Context Protocol (MCP), developers can finally connect large language models to tools, workflows, and real-time context in a standardized, reliable way. AI Agents with MCP is your hands-on guide to mastering this emerging ecosystem.

Whether you're working with Claude, OpenAI, or LangChain, this book shows you how to design and deploy context-aware agents that don't just answer questions but take meaningful action. From your first "Hello MCP" call to building multi-agent collaboration systems, you'll gain the practical skills to bring cutting-edge AI workflows into production.

Inside, you'll learn how to:

• Understand MCP fundamentals - JSON-RPC, servers, clients, and context sharing.

• Build and expose MCP servers that wrap tools like file systems, vector databases, and APIs.

• Connect Claude, OpenAI, and LangChain agents to MCP endpoints for seamless integration.

• Implement Retrieval-Augmented Generation (RAG) with vector stores and document Q&A agents.

• Design workflow automation agents that combine email, file management, and task pipelines.

• Coordinate multi-agent systems with Researcher-Critic patterns and role-based designs.

• Deploy and scale MCP agents using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).

• Secure your agents with authentication, access control, and best practices for compliance.

• Debug and optimize common pitfalls: JSON-RPC errors, latency, scaling bottlenecks, and context overflows.