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Max Gfeller

If you’ve been experimenting with agents and want to move beyond small demos, this book gives you a practical path for building agentic systems that can plan, use tools, collaborate, connect to outside software, and fit into product workflows.

The book focuses on two technologies that work especially well together:

• CrewAI, an open-source Python framework for building agents, tasks, tools, crews, and flows

• MCP, the Model Context Protocol, which gives agents a standard way to connect with external tools, services, IDEs, and local or remote environments

Together, they give developers a solid foundation for building modular agentic applications that are easier to extend, test, and integrate.

Max takes a builder’s approach throughout the book. The focus is on architecture, workflow design, tool use, and practical tradeoffs. You’ll start with the basics of agentic AI and augmented LLMs, then move into working projects that show how these ideas fit together.

You’ll build:

• A single CrewAI agent with tools and structured outputs

• A multi-agent SEO/content crew with a keyword researcher, topic researcher, and blog writer

• A documentation updater crew with a docs agent and screenshot agent

• An MCP server that exposes your crew so it can be called from Cursor

• More advanced systems using multimodal crews, flows, chatbot interfaces, MCP server consumption, and human-in-the-loop workflows

The early chapters also dig into the parts that make agentic apps hard in practice: compounding errors across steps, cost, evaluation, context management, tool overload, and when to choose a workflow instead of a fully autonomous agent.

This book is a good fit for Python developers, AI engineers, full-stack developers, and technical leaders who want to understand how agentic systems are actually assembled. If your goal is to build agents that integrate with business processes rather than remain isolated chat experiences, this should be a useful guide.

• Full details: Building Agentic Applications with CrewAI and MCP - Max Gfeller

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