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Giving an LLM Eyes and Hands on a Mobile Simulator

TL;DR AI

Key summary

2 min read
  1. Tapflow turned its existing mobile simulator relay APIs into an MCP server with 13 tools for LLM control.

  2. An MCP-compatible, vision-capable model can now inspect screenshots, tap, swipe, type, install apps, and launch apps in simulators.

  3. The system uses pixel-space screenshots for easier reasoning, normalizes touch input internally, and handles some actions asynchronously over WebSocket.

  4. The approach shows how existing APIs can power LLM-driven mobile UI testing and automation without a new control layer.

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