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This article focuses on the Model Context Protocol (MCP), which is an architectural standard for connecting AI agents to external tools and data sources, making it central to machine learning infrastructure rather than incidental coverage. By addressing how MCP unifies scattered tool definitions into a stable server architecture, the piece offers practical insights relevant to developers building scalable agent systems.
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Surse care acoperăTowards Data Science, InfoQ
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The Protocol That Cleaned Up Our Agent Architecture
Towards Data Science1 min de cititArticolul și perspectiva sunt în engleză.
A detailed look at MCP that turned my scattered tool definitions into a stable, discoverable server The post The Protocol That Cleaned Up Our Agent Architecture appeared first on Towards Data Science.
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