MacOS-MCP listing history
By CursorTouch (3 listings) · Claude Connectors
Lightweight MCP Server for macOS desktop interaction
Claude Connectors does not publish install or usage counts, so PluginStats tracks MacOS-MCP's listing placement instead, currently position #862 in the marketplace's popularity-sorted listing.
About MacOS-MCP
MacOS-MCP is a lightweight, open-source MCP server that bridges AI agents with the macOS operating system. It enables LLM agents to perform real-world tasks such as app launching, window management, UI interaction, browser automation, desktop state capture, and shell execution using native macOS accessibility and automation APIs.
KEY FEATURES
- Native macOS Integration: Interact with applications, windows, and UI elements through the macOS Accessibility API and Quartz event system.
- Bring Your Own LLM/VLM: Works with any language model and optionally provides visual snapshots when needed.
- Rich Toolset for Desktop Automation: Pre-built tools for application control, mouse and keyboard input, scrolling, shell commands, and desktop state capture.
- Lightweight and Open Source: Minimal setup with a focused Python package and MIT license.
MINIMUM REQUIREMENTS
- Python 3.11 or higher
- macOS 12 or higher
- Accessibility permissions granted to the terminal or application running the MCP server
- UV Package Manager
This MCP server uses UV for running the package in a managed Python environment.
Installation:
curl -LsSf https://astral.sh/uv/install.sh | shFor detailed installation instructions, see the UV documentation
Description from the Claude Connectors listing.
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Ranking history
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Similar Claude Connectors plugins
All 20 MacOS-MCP alternativesData source
Anthropic does not publish install counts for connectors. PluginStats records each Anthropic and partner connector's position in the official Claude directory, which Anthropic orders by its own ranking, so movement in position over time is the signal.
Listing: https://claude.com/marketplace/connectors. First seen Oct 16, 2026; last successful collection Oct 21, 2026. See the methodology.