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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).
This book is ideal for:
AI developers and software engineers building scalable AI applications
AI researchers integrating LLMs with real-time scientific data
DevOps professionals managing distributed AI infrastructure
Open-source contributors working on agentic AI protocols
Technology leaders driving ethical, sustainable AI integration at scale
Real-world examples: Build MCP servers for weather forecasting, GitHub automation, and data-driven insights
Complete lifecycle coverage: From server setup to advanced orchestration
Secure by design: Learn to prevent tool poisoning, enforce access controls, and ensure compliance
Research-driven and future-ready: Position yourself at the forefront of AI ecosystem evolution
Whether 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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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Building AI with MCP Servers: The Ultimate Resource for Developers and Researchers
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Paperback. Condizione: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798291713495
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Building AI with MCP Servers (Paperback)
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Paperback. Condizione: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798291713495
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