发现为 Apple 构建的 111 个 MCP。
Create and manage high-performance macOS and Linux virtual machines on Apple Silicon, with built-in support for AI agents.
Facilitates AI coding agent interaction and direct terminal control for iOS and macOS project development.
Enables AI agents to interact with and automate Xcode projects through the Model Context Protocol.
Automate and control various Apple applications and services through the Model Context Protocol.
Enables interaction with native Apple apps like Messages, Notes, and Reminders through the Model Context Protocol.
Connects your macOS digital life with AI, providing access to Messages, Contacts, Calendar, Location, Reminders, and Weather.
Crawls, indexes, and serves Apple's developer documentation to AI agents via the Model Context Protocol.
Provides seamless access to Apple Developer Documentation directly within AI coding assistants, featuring smart search and wildcard support.
Enables AI agents to fully control remote macOS systems without requiring additional software installation.
Execute AppleScript code from a server to control macOS applications and data.
Provides a source code indexing library for efficient symbol lookup and analysis.
Enables LLM applications to interact with macOS through AppleScript.
Enables AI assistants like Claude to search and reference Apple Notes during conversations using Model Context Protocol.
Provides a Model Context Protocol (MCP) server for interacting with the App Store Connect API.
Enables AI assistants to control and automate tasks on macOS using Apple Shortcuts.
Enables natural language interaction with the MacOS Calendar for event management and scheduling.
Exposes macOS Siri Shortcuts to Large Language Models (LLMs) via the Model Context Protocol (MCP).
Integrates Apple Reminders with Model Context Protocol (MCP) to enable interaction with reminders through a standardized interface.
Automates and optimizes iOS development tasks within Claude Code through modular, context-aware plugin servers.
Empowers AI agents with instant, up-to-date access to official Apple developer documentation and video content via a RAG system.
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