AI Agent Control for Real iPhones
Let AI coding agents operate a real iPhone from Linux without juggling multiple tools
- Problem
- Developers who want AI to operate a real iPhone have to stitch together go-ios, pymobiledevice3, WDA, and other tools — each requiring separate installation and signing, tunnels dropping constantly, and custom scripts to babysit the process. The workflow is fragmented and unreliable.
- Solution
- Provide a unified Rust-based tool exposing screenshot, tap, swipe, text input, app launch, and other actions via MCP protocol, letting AI agents read UI elements and act directly with fewer round trips, eliminating multiple standalone tools and signing steps.
- Users
- Developers doing iOS automation testing, AI agent development, and mobile RPA, plus teams needing to control real iPhones from Linux environments.
- MVP
- Unified Rust daemon exposing 15 MCP tools for basic operations; UI element reading so AI can locate targets directly; stable tunnel management to reduce disconnects; simple CLI install and usage docs.
- Revenue
- Open-source core plus commercial license (enterprise support, hosted service, advanced toolkits), or a usage-based cloud service.
- Why now
- AI coding agents and the MCP ecosystem are exploding, but the tooling for controlling real mobile devices remains fragmented — an indie developer can fill this gap with a ready-to-use solution.