SKU/Artículo: AMZ-B0FH5D3YQJ
Building AI with MCP Servers: The Ultimate Resource for Developers and Researchers
Format:
Paperback
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En stock
En stock
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0.64 kg
0.64 kg
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Sí
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Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- Building AI with MCP Servers: The Ultimate Resource for Developers and Researchers is the definitive guide to mastering the Model Context Protocol (MCP)—a secure, scalable, and standardized framework for building autonomous AI agents and integrating them with real-world systems. Whether you're building AI-powered applications, automating workflows, or enabling real-time data access, this book equips you with practical tools to design intelligent, context-aware, and production-ready AI systems.What You’ll LearnGain actionable skills across the full lifecycle of MCP server development:MCP Architecture: Understand the core of resource-based AI integration, including pipelines, tools, and services (Chapters 1–4).Specialized MCP Servers: Build custom servers for GitHub, filesystems, weather data, and scientific workflows (Chapters 6, 10, 16, 19).Security & Optimization: Implement JWT, RBAC, input sanitization, caching, and load balancing for secure, efficient deployments (Chapters 5, 17, 18).Testing Frameworks: Use Jest, Pytest, and Locust to validate server performance and security (Chapter 18).AI for Research: Apply MCP in climate analysis, bioinformatics, and academic AI workflows (Chapter 19).Future-Proofing: Explore federated learning, modular frameworks, and ethical AI integration (Chapter 20).Community Collaboration: Contribute to the open-source MCP ecosystem and collaborate globally (Chapters 19–20).Who It’s ForThis book is ideal for:AI developers and software engineers building scalable AI applicationsAI researchers integrating LLMs with real-time scientific dataDevOps professionals managing distributed AI infrastructureOpen-source contributors working on agentic AI protocolsTechnology leaders driving ethical, sustainable AI integration at scaleKey BenefitsReal-world examples: Build MCP servers for weather forecasting, GitHub automation, and data-driven insightsComplete lifecycle coverage: From server setup to advanced orchestrationSecure by design: Learn to prevent tool poisoning, enforce access controls, and ensure complianceResearch-driven and future-ready: Position yourself at the forefront of AI ecosystem evolutionWhether you're engineering intelligent agents, contributing to MCP repositories, or researching next-gen AI systems, this guide delivers the knowledge, structure, and tools to lead with impact.
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