The “USB-C for AI” analogy emphasizes standardization and interoperability . Just as USB-C defines a common interface through which many devices can connect to different peripherals, MCP defines a standardized protocol through which AI applications can connect to external tools, services, and contextual data sources.

The OpenAI Agents SDK's official MCP documentation summarizes MCP as an open protocol that standardizes how applications provide tools and context to language models and explicitly uses the USB-C analogy to explain the common connectivity layer. The key architectural advantage is reduction of bespoke integrations. A compatible host or agent can discover and interact with capabilities exposed by MCP servers without requiring a completely different proprietary integration model for every service.

The analogy has nothing to do with processor performance, physical installation, or specialized hardware. MCP is a software interoperability protocol. Its abstractions—hosts, clients, servers, tools, resources, prompts, and standardized messaging—are intended to make integration consistent across heterogeneous systems.

Therefore, the concept being tested is a standardized interface , making C correct. This matches the uploaded source.

Study Guide reference/topic: Model Context Protocol (MCP) Fundamentals — MCP standardization, interoperability, and the “USB-C for AI” concept.

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