滿額折
Mastering Model Context Protocol (MCP): Build Smarter AI Agents with Shared Memory and Multi-Agent Coordination
商品資訊
ISBN13：9798283330709
出版社：Independently published
作者：Hawke Nexon
出版日：2025/05/10
裝訂：平裝
規格：27.9cm*21.6cm*2cm (高/寬/厚)
商品簡介
商品簡介
The First Complete Guide to Building Scalable, Context-First AI Systems with Model Context Protocol (MCP) Are you ready to design AI systems that think together instead of in isolation? In the age of multi-agent AI, context is king.
Model Context Protocol (MCP) is the emerging standard for enabling intelligent agents to share goals, tools, memory, and plans-securely, efficiently, and at scale. Whether you're an AI developer, architect, LLM tinkerer, or automation engineer, this book gives you the blueprint to build collaborative, context-driven systems from the ground up. What You'll Learn Master the MCP Stack: Build REST + WebSocket servers with FastAPI, Redis Streams, and Postgres. Design Agent Ecosystems: Learn shared/private context, agent lifecycles, state management, and schema evolution. Integrate LLM Tools: Connect MCP with LangChain, DeepAgent, OpenAI Assistants, and vector databases like Weaviate and Qdrant. Deploy at Scale: Optimize performance with Docker, Kubernetes, RBAC, and context encryption. Debug with Confidence: Use context snapshots, time travel, observability tools, and agent logs. Why This Book? Hands-on Projects: Build a task management AI system, role-switching agents, and simulation swarms. Real-World Use Cases: Enterprise workflow coordination, research copilots, persistent personal memory, and more. Community-Driven: Join an exclusive learner's forum, access the GitHub repo, and collaborate with AI builders worldwide. Practical Outcomes: Deploy a complete MCP system in under 30 minutes. Reduce coordination complexity by 80%. Eliminate context drift. Perfect For: Software engineers exploring multi-agent coordination AI researchers working on contextual LLM orchestration DevOps professionals building scalable, distributed AI systems Anyone working with LangChain, OpenDevin, AutoGen, or Claude "Used by developers and researchers in top AI labs and universities." BONUS: Includes CLI tools, schema templates, debugging aids, and a final project challenge to test your skills. Build smarter agents. Share deeper context. Shape the future.
Start here-with the definitive MCP guide.
Model Context Protocol (MCP) is the emerging standard for enabling intelligent agents to share goals, tools, memory, and plans-securely, efficiently, and at scale. Whether you're an AI developer, architect, LLM tinkerer, or automation engineer, this book gives you the blueprint to build collaborative, context-driven systems from the ground up. What You'll Learn Master the MCP Stack: Build REST + WebSocket servers with FastAPI, Redis Streams, and Postgres. Design Agent Ecosystems: Learn shared/private context, agent lifecycles, state management, and schema evolution. Integrate LLM Tools: Connect MCP with LangChain, DeepAgent, OpenAI Assistants, and vector databases like Weaviate and Qdrant. Deploy at Scale: Optimize performance with Docker, Kubernetes, RBAC, and context encryption. Debug with Confidence: Use context snapshots, time travel, observability tools, and agent logs. Why This Book? Hands-on Projects: Build a task management AI system, role-switching agents, and simulation swarms. Real-World Use Cases: Enterprise workflow coordination, research copilots, persistent personal memory, and more. Community-Driven: Join an exclusive learner's forum, access the GitHub repo, and collaborate with AI builders worldwide. Practical Outcomes: Deploy a complete MCP system in under 30 minutes. Reduce coordination complexity by 80%. Eliminate context drift. Perfect For: Software engineers exploring multi-agent coordination AI researchers working on contextual LLM orchestration DevOps professionals building scalable, distributed AI systems Anyone working with LangChain, OpenDevin, AutoGen, or Claude "Used by developers and researchers in top AI labs and universities." BONUS: Includes CLI tools, schema templates, debugging aids, and a final project challenge to test your skills. Build smarter agents. Share deeper context. Shape the future.
Start here-with the definitive MCP guide.
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