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Book Overview & Buying
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Table Of Contents
Agentic Coding with Claude Code
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In this chapter, you learned why MCP was created and how it solves the integration problem in AI systems. You explored its core architecture: hosts, clients, and servers and saw how MCP enables reusable, cross-platform tool integration. Through hands-on examples, you configured and used the Context7 MCP, connected servers to Claude, and managed MCP settings using the CLI. You also learned how poor MCP configuration can pollute the context window and degrade performance, and how to optimize usage through context engineering and scoped configurations. Finally, you explored Claude Code plugins, examined the limitations of MCP, and reviewed CodeMode as an alternative execution model.
Understanding MCP is important because it is becoming a foundational integration layer in agent-based AI development. Knowing how to use it efficiently and when to question it will help you build more scalable and effective AI systems.
In the next chapter, we will cover GitHub repository configuration...