
Model Context Protocol: The New Standard for AI Integrations? (eBook, ePUB)
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Model Context Protocol (MCP) The New Standard at the Interface Between AI and Real Data Sources.In an era where AI models are becoming increasingly powerful, one crucial component often remains missing: structured access to current, external information. This is precisely where the Model Context Protocol comes into play.This e-book provides a well-founded and comprehensible introduction to MCP the open standard from Anthropic, designed to connect AI systems securely, flexibly, and in a standardized manner with context data. It explains the fundamental concepts, applications, and architecture o...
Model Context Protocol (MCP) The New Standard at the Interface Between AI and Real Data Sources.
In an era where AI models are becoming increasingly powerful, one crucial component often remains missing: structured access to current, external information. This is precisely where the Model Context Protocol comes into play.
This e-book provides a well-founded and comprehensible introduction to MCP the open standard from Anthropic, designed to connect AI systems securely, flexibly, and in a standardized manner with context data. It explains the fundamental concepts, applications, and architecture of the protocol.
Readers will learn why MCP could play such a central role in the AI landscape, how it is technically structured, and what problems it solves compared to previous approaches.
The book is aimed at everyone looking for a compact yet in-depth overview of the topic whether developers, AI enthusiasts, or technically interested decision-makers.
In an era where AI models are becoming increasingly powerful, one crucial component often remains missing: structured access to current, external information. This is precisely where the Model Context Protocol comes into play.
This e-book provides a well-founded and comprehensible introduction to MCP the open standard from Anthropic, designed to connect AI systems securely, flexibly, and in a standardized manner with context data. It explains the fundamental concepts, applications, and architecture of the protocol.
Readers will learn why MCP could play such a central role in the AI landscape, how it is technically structured, and what problems it solves compared to previous approaches.
The book is aimed at everyone looking for a compact yet in-depth overview of the topic whether developers, AI enthusiasts, or technically interested decision-makers.
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