I’m Building an MCP Toolbox for Swift, Xcode and iOS Simulator

AI coding agents are getting surprisingly good at writing Swift. But generating Swift code is only a small part of actually building an iOS app. A real iOS development workflow involves much more. Can an AI agent understand the structure of an existing Swift project? Can it review SwiftUI architecture? Can it catch Swift concurrency problems? Can it build the project with Xcode? Can it boot an iOS Simulator? Can it install and launch the app? Can it capture screenshots, inspect logs, understand a failure, make a fix and test everything again? That is the problem I’m exploring with ios-agent-mcp . What is ios-agent-mcp? ios-agent-mcp is an open source MCP server built specifically for iOS development and AI coding agents. Instead of only giving an agent access to source code, the idea is to expose more of the actual iOS development environment. The project currently covers or is expanding toward: • Swift project analysis • SwiftUI review • Swift concurrency review • architecture analysis • API availability checks • App Store readiness auditing • Xcode project inspection • xcodebuild • xcrun • simctl • iOS Simulator discovery • Simulator boot and shutdown • app installation • app launching • screenshot capture • Simulator and application logs • device discovery • build workflows • test workflows • debugging workflows • MCP integration with coding agents Why build this? Most AI coding workflows still look something like this: prompt → generate code → developer runs it → error → copy error back to AI → generate another fix I want to reduce that manual loop. A coding agent should eventually be able to work more like this: project inspection → code analysis → Xcode build → Simulator → launch → observe → logs → debug → fix → test again The important part is the feedback loop. Writing code should not be where the agent stops. Swift and SwiftUI understanding An iOS specific agent should understand more than syntax. It should be able to inspect how a project is structured and