iOS Simulator MCP Server

The iOS Simulator MCP Server gives AI assistants a direct, programmatic bridge to the native iOS Simulator. Instead of manually launching Xcode, navigating through menus, or writing custom automation scripts, a conversational AI can query the simulator’s state, perform UI gestures, and inspect accessibility trees—all through simple MCP calls. This eliminates the friction that traditionally separates automated testing or code‑generation workflows from the actual device environment, enabling developers to prototype, debug, and iterate faster.

At its core, the server exposes a set of intuitive tools that mirror common manual actions: opening the simulator app, retrieving the ID of the currently booted device, and performing taps, swipes, or text input at specified screen coordinates. The and tools allow the assistant to request a full accessibility snapshot or a single element at a coordinate, respectively. These descriptions are rich in metadata—labels, traits, and hierarchy information—which can be used to verify UI layouts or to generate test cases automatically. By leveraging the simulator’s accessibility layer, the server provides a reliable, platform‑agnostic view of the UI that is independent of visual rendering.

For developers working with AI assistants, this MCP server unlocks several powerful use cases. During UI testing, an assistant can orchestrate end‑to‑end scenarios: open the simulator, launch an app, tap through onboarding flows, and assert that expected elements appear. In continuous integration pipelines, the server can be invoked to run automated UI tests on a headless simulator, capturing screenshots or logs without human intervention. When building code generation tools, the assistant can query the current screen state to suggest UI components or layout adjustments that match the existing design, providing a more context‑aware coding experience. The ability to interact with multiple simulators simultaneously (by specifying UDIDs) also supports parallel testing and multi‑device scenarios.

Integration into AI workflows is straightforward: an MCP client (such as Claude or other LLM‑powered assistants) can call the server’s tools directly from a prompt, receiving structured JSON responses that describe the simulator state or confirm gesture execution. Because the server operates over HTTP and adheres to the MCP specification, it can be combined with other MCP services—like code execution or data retrieval—to create end‑to‑end development pipelines that are both declarative and interactive. The server’s design prioritizes safety (with recent fixes to command‑injection vulnerabilities) and clarity, ensuring that developers can trust the actions performed on their simulators.

Overall, the iOS Simulator MCP Server stands out by providing a low‑friction, programmatic interface to the iOS Simulator that is directly consumable by AI assistants. It transforms a traditionally GUI‑centric tool into an automated, scriptable component of modern development workflows, thereby accelerating testing, debugging, and code generation for iOS applications.