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Claude code + MCP in Action: Build Autonomous AI Coding Agents with LangChain, AutoGen, and Multi-Agent Systems Through Hands-On Projects
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ISBN13: 9798272646231
Publisher: Independently Published
Published: Nov 2 2025
Pages: 302
Weight: 1.55
Height: 0.63 Width: 8.50 Depth: 11.00
Language: English
Publisher: Independently Published
Published: Nov 2 2025
Pages: 302
Weight: 1.55
Height: 0.63 Width: 8.50 Depth: 11.00
Language: English
Claude Code + MCP in Action
Build Autonomous AI Coding Agents with LangChain, AutoGen, and Multi-Agent Systems Through Hands-On Projects
Unlock the next frontier of AI-powered software development.
This book is your comprehensive guide to building intelligent, autonomous coding agents using Claude Code, Model Context Protocol (MCP), LangChain, and AutoGen-the core technologies behind the rise of agentic AI.
Build Autonomous AI Coding Agents with LangChain, AutoGen, and Multi-Agent Systems Through Hands-On Projects
Unlock the next frontier of AI-powered software development.
This book is your comprehensive guide to building intelligent, autonomous coding agents using Claude Code, Model Context Protocol (MCP), LangChain, and AutoGen-the core technologies behind the rise of agentic AI.
Written for developers, engineers, and AI innovators, Claude Code + MCP in Action bridges theory and implementation, showing you exactly how to design, build, and deploy self-orchestrating systems that think, reason, and collaborate. You'll explore how Claude Code acts as the reasoning brain, how MCP enables context-sharing and multi-agent communication, and how frameworks like LangChain and AutoGen bring these intelligent systems to life. What You'll Learn Inside: - Master Claude Code - Go beyond code completion and learn how to harness context-aware reasoning and adaptive automation for real-world coding tasks.
- Understand the Model Context Protocol (MCP) - Discover how MCP standardizes communication between AI models, enabling multi-agent collaboration and shared memory systems.
- Build and Deploy Agentic Systems - Learn hands-on how to create AI agents that write, debug, refactor, and integrate code autonomously.
- Work with LangChain and AutoGen - Chain reasoning steps, tools, and APIs together to form self-sustaining AI workflows.
- Design Multi-Agent Architectures - Orchestrate specialized AI agents that coordinate intelligently to deliver complex outcomes across large-scale projects.
- Develop Real-World Projects - Each chapter includes guided, practical builds-from autonomous coding assistants to scalable AI pipelines and deployment frameworks. Why This Book Stands Out Unlike high-level AI overviews, Claude Code + MCP in Action focuses on practical system design, interoperability, and scalable automation. You'll learn how to merge reasoning frameworks with engineering protocols to create truly autonomous development ecosystems-systems that code, test, document, and optimize themselves.
Every concept is backed by clear explanations, text-based workflows, flowcharts, and hands-on exercises. You'll see exactly how to connect theory with implementation, turning your AI curiosity into real-world capability. Who This Book Is For - AI Developers building intelligent coding or automation agents.
- Software Engineers exploring Claude Code, LangChain, AutoGen, or MCP integration.
- Technical Founders & Innovators designing scalable, context-aware AI products.
- Researchers and Students interested in agentic AI, contextual intelligence, and autonomous systems. Step into the future of intelligent development.
With Claude Code + MCP in Action, you'll not just use AI-you'll build AI that builds.
- Understand the Model Context Protocol (MCP) - Discover how MCP standardizes communication between AI models, enabling multi-agent collaboration and shared memory systems.
- Build and Deploy Agentic Systems - Learn hands-on how to create AI agents that write, debug, refactor, and integrate code autonomously.
- Work with LangChain and AutoGen - Chain reasoning steps, tools, and APIs together to form self-sustaining AI workflows.
- Design Multi-Agent Architectures - Orchestrate specialized AI agents that coordinate intelligently to deliver complex outcomes across large-scale projects.
- Develop Real-World Projects - Each chapter includes guided, practical builds-from autonomous coding assistants to scalable AI pipelines and deployment frameworks. Why This Book Stands Out Unlike high-level AI overviews, Claude Code + MCP in Action focuses on practical system design, interoperability, and scalable automation. You'll learn how to merge reasoning frameworks with engineering protocols to create truly autonomous development ecosystems-systems that code, test, document, and optimize themselves.
Every concept is backed by clear explanations, text-based workflows, flowcharts, and hands-on exercises. You'll see exactly how to connect theory with implementation, turning your AI curiosity into real-world capability. Who This Book Is For - AI Developers building intelligent coding or automation agents.
- Software Engineers exploring Claude Code, LangChain, AutoGen, or MCP integration.
- Technical Founders & Innovators designing scalable, context-aware AI products.
- Researchers and Students interested in agentic AI, contextual intelligence, and autonomous systems. Step into the future of intelligent development.
With Claude Code + MCP in Action, you'll not just use AI-you'll build AI that builds.
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