MCP vs. API Explained

This blog post provides a deep dive into Model Context Protocol (MCP), likened to a USB-C port for AI agents, offering a standardized way for AI applications to interact with tools and data sources, contrasting it with traditional APIs and detailing its architecture, use cases, and benefits.

• MCP standardizes how apps provide context to Large Language Models.
• MCP is akin to USB-C for AI system connections.
• MCP supports real-time, two-way communication.
• Traditional APIs require separate integrations per service.
• MCP can dynamically discover and utilize external tools.