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emazaheri/ios-agent

by Various

Drive an iPhone or an iOS Simulator with an AI agent. Screens arrive as a compact digest rather than raw accessibility XML, every action returns the screen it produced, and anythin

MCP

emazaheri/ios-agent

Added 8 Sept 2026

#ai-agent #anthropic #ios #ios-automation #langgraph #llm #mcp #model-context-protocol

Overview

A Python tool that lets an AI agent drive an iPhone or iOS Simulator. It converts screens into a compact digest rather than raw accessibility XML, and every action returns the resulting screen. Irreversible actions require confirmation before execution.

Best for

Best for
Developers building AI agents that control iOS devices or simulators.

Use cases

  • Automate iOS UI flows with an AI agent
  • Test app behavior across simulator states
  • Build agents that interact with iOS apps

Notes

A Python tool that lets an AI agent drive an iPhone or iOS Simulator. It converts screens into a compact digest rather than raw accessibility XML, and every action returns the resulting screen. Irreversible actions require confirmation before execution.

0 stars on GitHub. Last updated 2026-09-01. Licensed MIT.

Use cases

  • Automate iOS UI flows with an AI agent
  • Test app behavior across simulator states
  • Build agents that interact with iOS apps

Pros

  • Compact screen digest reduces context overhead
  • Action feedback loop returns the resulting screen
  • Safety confirmation for irreversible actions

Cons

  • No community adoption yet (0 stars)
  • Requires an iOS device or simulator setup
  • Python-only, not language-agnostic

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Compact screen digest reduces context overhead
  • Action feedback loop returns the resulting screen
  • Safety confirmation for irreversible actions

Cons

  • No community adoption yet (0 stars)
  • Requires an iOS device or simulator setup
  • Python-only, not language-agnostic
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