Model Context Protocol: The New Standard for AI Integrations?
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- FormatePub
- ISBN8230803171
- EAN9798230803171
- Date de parution05/04/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurIndependently Published
Résumé
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.
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.
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.
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.
