Evaluates two primary architectural frameworks for creating agent-driven user interfaces in enterprise systems: MCP Apps and Google’s A2UI. MCP Apps prioritizes flexibility by allowing servers to deliver complete, sandboxed web applications, though this can obscure visibility for security audits.

In contrast, A2UI uses a declarative, data-centric approach that ensures high security and visual consistency by utilizing the host's native components.

The sources suggest that a hybrid model is the most effective strategy, employing A2UI for regulated, high-stakes core functions while reserving MCP Apps for complex third-party tools.

This dual-lane system is managed by a centralized governance gateway to maintain strict compliance and transactional integrity.

Ultimately, the analysis helps architects navigate the trade-offs between developer expressiveness and corporate liability in generative AI environments.

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