The Protocol That Cleaned Up Our Agent Architecture
Towards Data Science
This article explores how the Model Context Protocol (MCP) helped organize and stabilize a messy agent architecture by centralizing tool definitions into a discoverable server. It highlights the practical benefits of using MCP for cleaner, more maintainable AI agent systems.
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