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kevinswint/xcode-studio-mcp

by Various

Unified MCP server for AI-assisted iOS development — build, deploy, screenshot, and interact with iOS Simulator from Claude Code, Cursor, or any MCP client

K

MCP

kevinswint/xcode-studio-mcp

Added 1 June 2026

#ai-coding #claude-code #cursor #ios-development #ios-simulator #mcp #mcp-server #model-context-protocol

Overview

This MCP server provides a unified interface for AI-assisted iOS development. It lets users build, deploy, and interact with the iOS Simulator from any MCP client including Claude Code and Cursor. The tool automates tasks like taking screenshots and simulating user interactions.

Best for

Best for
iOS developers who use AI coding assistants and want to automate simulator tasks

Use cases

  • Automating iOS builds and deployments via AI assistants
  • Taking screenshots of iOS Simulator for testing and documentation
  • Scripting simulator interactions from chat interfaces

Notes

This MCP server provides a unified interface for AI-assisted iOS development. It lets users build, deploy, and interact with the iOS Simulator from any MCP client including Claude Code and Cursor. The tool automates tasks like taking screenshots and simulating user interactions.

7 stars on GitHub. Last updated 2026-04-04. Licensed MIT.

Use cases

  • Automating iOS builds and deployments via AI assistants
  • Taking screenshots of iOS Simulator for testing and documentation
  • Scripting simulator interactions from chat interfaces

Pros

  • Works with multiple MCP clients, offering flexibility
  • Automates repetitive iOS development tasks
  • Leverages the existing MCP ecosystem for easy integration

Cons

  • Low community adoption with only 7 stars on GitHub
  • Requires running an MCP client and may lack full Xcode scripting capabilities
  • Limited track record could mean fewer tested edge cases

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

Pros

  • Works with multiple MCP clients, offering flexibility
  • Automates repetitive iOS development tasks
  • Leverages the existing MCP ecosystem for easy integration

Cons

  • Low community adoption with only 7 stars on GitHub
  • Requires running an MCP client and may lack full Xcode scripting capabilities
  • Limited track record could mean fewer tested edge cases