"Learning about MCP for iOS and macOS development" matching MCP servers:

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Enables AI agents to drive an iPhone or iOS Simulator through 30 tools and 4 resources, using an observe/act/verify loop with built-in safety approvals.

MCP server for iOS reverse engineering, enabling static analysis of IPA/Mach-O binaries and dynamic instrumentation via Frida for tasks like IAP interception and FairPlay decryption.

An MCP server that enforces a pedagogical workflow to teach topics step by step, using research, decomposition, and spaced retrieval practice.

Enables AI assistants to diagnose and fix iOS app issues that cause App Store rejections, such as missing privacy manifests, permission strings, and test credentials, before submission.

Enables an AI agent to safely observe and operate a Mac, starting read-only with optional read-write and admin tools for files, processes, apps, shell, AppleScript, and GUI control behind explicit permissions and human approval.

A Model Context Protocol (MCP) server that provides access to iOS emoji images with URLs for both 160x160px and 320x320px versions.

An MCP server that lets an AI agent drive the iOS Simulator in a loop, enabling tapping, typing, swiping, reading the screen via the accessibility tree, and verifying app state.

Enables AI coding agents to review Swift code, scaffold new iOS apps, and build, test, and preview them in the Xcode Simulator using local Apple guides and source references.

Enables interaction with iOS simulators by providing tools to inspect UI elements, control UI interactions, and manage simulators through natural language commands.

Enables natural language profiling of iOS apps using xctrace (Instruments) for performance analysis like launch time, memory leaks, CPU usage, and network requests.

Enables Claude to inspect and drive native macOS app UIs during development via an in-process view tree and screenshot renderer, without requiring screen recording permission.

Enables interaction with macOS system features including file dialogs, clipboard management, Finder integration, and system notifications. It also provides tools for taking screenshots, processing images, managing PDFs, and interacting with the Apple Notes app.

Enables AI assistants to discover, retrieve, and compare official international development indicators from sources such as the World Bank, FAOSTAT, WHO, UNICEF, and IMF, while preserving source identifiers, units, and citations.

Enables developers to record feature-based development processes and turn Git changes, AI conversations, token usage, technical decisions, and debugging attempts into structured Obsidian learning reviews.

MCP server for capturing iOS device screenshots using Appium, compatible with AI clients like Trae.

MCP server for iOS Frida exploration enabling app control, UI interaction, and media import via spawn sessions on jailbroken devices.

Local MCP server for macOS native apps: Mail, Calendar, Reminders, Notes, Messages, and Contacts. Enables reading and organizing your Mac life through a single stdio process using AppleScript/JXA.

Lets MCP clients discover and run AppleScript or JavaScript for Automation (JXA) to control macOS applications, inspect the system, or reuse scripts from a bundled knowledge base.