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{ "item_title" : "Building AI with MCP Servers", "item_author" : [" Ronan Keel "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/829/171/9798291713495_b.jpg", "price_data" : { "retail_price" : "19.50", "online_price" : "19.50", "our_price" : "19.50", "club_price" : "19.50", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Building AI with MCP Servers|Ronan Keel

Building AI with MCP Servers : The Ultimate Resource for Developers and Researchers

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Overview

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 Learn

Gain 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 For

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

Key Benefits
  • 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.

This item is Non-Returnable

Details

  • ISBN-13: 9798291713495
  • ISBN-10: 9798291713495
  • Publisher: Independently Published
  • Publish Date: July 2025
  • Dimensions: 10 x 7 x 0.77 inches
  • Shipping Weight: 1.42 pounds
  • Page Count: 372

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