MCP-Driven Accessibility Tree Standardization for AI-Powered Screen Reader Agents
Large language model (LLM) agents that interact with graphical user interfaces increasingly rely on either raw screenshots or platform-specific accessibility application programming interfaces (APIs) to perceive interface state. Both approaches have limitations for assistive applications: screenshot-based perception lacks the semantic roles and relationships required by screen readers, while platform-specific APIs such as Windows UI Automation, macOS Accessibility, Android AccessibilityService, and web ARIA require separate integrations for each platform. This paper proposes an architecture that uses the Model Context Protocol (MCP) as a unified transport and schema layer between heteroge...
| Authors | Vishnu Ramineni, Nitin Saksena, Akash Kumar Agarwal et al. |
|---|---|
| Primary category | cs.HC |
| Published | 13 July 2026 |
| Last updated at source | 13 July 2026 |
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