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portada Model Context Protocol Server Development for AI Systems. Building MCP Infrastructure, Tool Integration Frameworks, and Context-Driven Automation
Type
Physical Book
Publisher
Author
Year
2026
Language
English
Pages
234
Format
Paperback
Dimensions
25.4x17.8x1.2 cm
ISBN13
9798251247350

Model Context Protocol Server Development for AI Systems. Building MCP Infrastructure, Tool Integration Frameworks, and Context-Driven Automation

Marcus Linford (Author) · Independently published · Paperback

Model Context Protocol Server Development for AI Systems. Building MCP Infrastructure, Tool Integration Frameworks, and Context-Driven Automation - Marcus LinFord

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Synopsis "Model Context Protocol Server Development for AI Systems. Building MCP Infrastructure, Tool Integration Frameworks, and Context-Driven Automation"

As artificial intelligence applications become more integrated with external tools, services, and data environments, developers require standardized mechanisms that allow AI models to interact with software infrastructure in a controlled and scalable way.
Model Context Protocol Server Development for AI Systems provides a detailed exploration of the technologies and architectural concepts that enable structured communication between AI models and external resources.
The Model Context Protocol (MCP) introduces a framework that allows language models to securely access tools, retrieve contextual data, and execute structured operations through dedicated server environments. This approach supports the development of AI systems that operate within larger application ecosystems rather than isolated prompt-response interfaces.
In this book, readers will learn about:The architectural foundations of the Model Context ProtocolDesigning MCP servers for structured AI tool accessContext management strategies for AI-driven applicationsImplementing tool interfaces and service integrationsSecurity, authentication, and controlled resource accessScaling MCP environments for production-level AI systemsThis volume is designed for developers who want to understand how emerging AI infrastructure standards support the next generation of intelligent software platforms.

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