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MCP Server for Developers: Building Intelligent AI Agents with Context-Aware Data Access
MCP Server for Building Intelligent AI Agents with Context-Aware Data Access
Are you ready to transform your AI projects with cutting-edge data integration? Imagine building AI agents that can access real-time information, streamline development workflows, and provide context-aware insights that make a measurable difference in performance and productivity.
"MCP Server for Building Intelligent AI Agents with Context-Aware Data Access" is a comprehensive, hands-on guide designed to help developers connect AI systems with diverse data sources seamlessly. This book covers everything from setting up your development environment and bootstrapping an MCP server project to deploying on cloud platforms and integrating with tools like GitHub, Slack, and Google Drive. It explains core concepts such as authentication, secure access, rate limiting, and performance optimization, ensuring you have the practical knowledge needed to build robust, scalable, and secure AI solutions.
What Sets This Book Apart?
Comprehensive Step-by-step instructions on every phase of MCP server development, from environment setup to advanced integrations.
Dual SDK In-depth examples and code in both TypeScript and Python allow you to choose the best fit for your projects.
Real-World Detailed use cases illustrate how to integrate with development tools, collaboration platforms, databases, and search engines, turning theoretical knowledge into practical skills.
Security and Performance Best Learn how to implement robust authentication, rate limiting, caching, and logging to ensure your AI agents operate securely and efficiently.
Scalability Gain perspective on emerging trends and community initiatives that keep your projects ahead of the curve.
Empower your AI systems with the skills to manage context-aware data access effectively. Whether you're aiming to streamline code management or enhance collaborative workflows, this book provides the tools and insights you need. Get your copy today and take the next step in building intelligent, high-performance AI agents.
Are you ready to transform your AI projects with cutting-edge data integration? Imagine building AI agents that can access real-time information, streamline development workflows, and provide context-aware insights that make a measurable difference in performance and productivity.
"MCP Server for Building Intelligent AI Agents with Context-Aware Data Access" is a comprehensive, hands-on guide designed to help developers connect AI systems with diverse data sources seamlessly. This book covers everything from setting up your development environment and bootstrapping an MCP server project to deploying on cloud platforms and integrating with tools like GitHub, Slack, and Google Drive. It explains core concepts such as authentication, secure access, rate limiting, and performance optimization, ensuring you have the practical knowledge needed to build robust, scalable, and secure AI solutions.
What Sets This Book Apart?
Comprehensive Step-by-step instructions on every phase of MCP server development, from environment setup to advanced integrations.
Dual SDK In-depth examples and code in both TypeScript and Python allow you to choose the best fit for your projects.
Real-World Detailed use cases illustrate how to integrate with development tools, collaboration platforms, databases, and search engines, turning theoretical knowledge into practical skills.
Security and Performance Best Learn how to implement robust authentication, rate limiting, caching, and logging to ensure your AI agents operate securely and efficiently.
Scalability Gain perspective on emerging trends and community initiatives that keep your projects ahead of the curve.
Empower your AI systems with the skills to manage context-aware data access effectively. Whether you're aiming to streamline code management or enhance collaborative workflows, this book provides the tools and insights you need. Get your copy today and take the next step in building intelligent, high-performance AI agents.
218 pages, Kindle Edition
Published March 25, 2025
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