iPhone Automation
MCP server implementation by Lakr233 that provides AI assistants with iPhone automation capabilities through Appium and XCUITest, enabling device control, app launching, UI interaction, and screenshot capture via streamable HTTP. The implementation combines pymobiledevice3 for device information and app listing with Appium WebDriver for touch operations, swipe gestures, text input, and visual interface analysis, featuring optimized XML filtering to minimize token usage and JPEG compression to keep screenshots under 500KB. Built for developers and teams who need programmatic iPhone automation for testing, UI interaction workflows, or app demonstration scenarios, supporting both Cherry Studio and other MCP clients through a FastMCP-based HTTP interface with comprehensive error handling and configurable Appium integration.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- api-integration
- Source
- PulseMCP
- Repository
- github.com/lakr233/iphone-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve iPhone Automation from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.