Will MCP Become the REST of AI Agents? What Developers Should Watch

AI agents have an integration problem.

A useful agent needs access to files, databases, developer tools, search systems, and business applications. Until recently, every connection required a custom adapter. That works for a prototype, but it becomes expensive and fragile when one client must support dozens of tools—or one tool must support several AI platforms.

The Model Context Protocol (MCP) is gaining attention because it turns that many-to-many integration problem into a shared interface. The comparison with REST is tempting, but it is only partly correct.

What MCP actually standardizes

REST gives software services a common architectural style for exposing resources over HTTP. MCP sits at a different layer. It defines how an AI application can discover tools and resources, request context, and invoke capabilities exposed by an MCP server.