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Fix links and descriptions in OS Automation section

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Updated the OS Automation section with improved descriptions and added a badge for the mcp-applemusic project.
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Suleyman
2026-08-19 14:51:37 +04:00
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@@ -108,7 +108,7 @@ Checkout [awesome-mcp-clients](https://github.com/punkpeye/awesome-mcp-clients/)
* 🎯 - [Marketing](#marketing) * 🎯 - [Marketing](#marketing)
* 📊 - [Monitoring](#monitoring) * 📊 - [Monitoring](#monitoring)
* 🎥 - [Multimedia Process](#multimedia-process) * 🎥 - [Multimedia Process](#multimedia-process)
* 🖥️ - [OS Automation](#os-automation) * 🖥️ - [OS Automation](#mation)
* 🎙️ - [Podcasts](#podcasts) * 🎙️ - [Podcasts](#podcasts)
* 📋 - [Product Management](#product-management) * 📋 - [Product Management](#product-management)
* 🏠 - [Real Estate](#real-estate) * 🏠 - [Real Estate](#real-estate)
@@ -2776,7 +2776,7 @@ Provides the ability to handle multimedia, such as audio and video editing, play
Servers for controlling the desktop operating system: screenshots, window management, mouse/keyboard input injection, and system-level automation. Servers for controlling the desktop operating system: screenshots, window management, mouse/keyboard input injection, and system-level automation.
- [mcp-applemusic](https://github.com/suleyman416/mcp-applemusic) 🍎 🎵 - A 66-tool FastMCP server for Apple Music on macOS with playback control, Spotify playlist importer, listening journal, and Apple Replay analytics. - [suleyman416/mcp-applemusic](https://github.com/suleyman416/mcp-applemusic) 🐍 🏠 🍎 - Comprehensive 66-tool FastMCP server for Apple Music on macOS with playback control, Spotify playlist importer, listening journal, and Apple Replay analytics. [![suleyman416/mcp-applemusic MCP server](https://glama.ai/mcp/servers/suleyman416/mcp-applemusic/badges/score.svg)](https://glama.ai/mcp/servers/suleyman416/mcp-applemusic)
- [sbuysse/gnome-desktop-mcp](https://github.com/sbuysse/gnome-desktop-mcp) [![gnome-desktop-mcp MCP server](https://glama.ai/mcp/servers/sbuysse/gnome-desktop-mcp/badges/score.svg)](https://glama.ai/mcp/servers/sbuysse/gnome-desktop-mcp) 🐍 🏠 🐧 - GNOME desktop automation for AI agents. 30 tools via D-Bus: screenshots, window management, mouse/keyboard injection, clipboard, workspaces, and system notifications. Works on any GNOME 45–49 Linux desktop. - [sbuysse/gnome-desktop-mcp](https://github.com/sbuysse/gnome-desktop-mcp) [![gnome-desktop-mcp MCP server](https://glama.ai/mcp/servers/sbuysse/gnome-desktop-mcp/badges/score.svg)](https://glama.ai/mcp/servers/sbuysse/gnome-desktop-mcp) 🐍 🏠 🐧 - GNOME desktop automation for AI agents. 30 tools via D-Bus: screenshots, window management, mouse/keyboard injection, clipboard, workspaces, and system notifications. Works on any GNOME 45–49 Linux desktop.
- [dimpagk92/cellar](https://github.com/dimpagk92/cellar) [![dimpagk92/cellar MCP server](https://glama.ai/mcp/servers/dimpagk92/cellar/badges/score.svg)](https://glama.ai/mcp/servers/dimpagk92/cellar) 🦀 📇 🏠 🍎 🐧 - Hybrid computer-use runtime. Fuses accessibility tree + Chrome DevTools Protocol + vision into structured context with per-element confidence. 4 MCP tools (see/act/think/perceive). Continuous awareness engine (Cortex) with freshness + side-effect detection. Works offline with Ollama + local models. - [dimpagk92/cellar](https://github.com/dimpagk92/cellar) [![dimpagk92/cellar MCP server](https://glama.ai/mcp/servers/dimpagk92/cellar/badges/score.svg)](https://glama.ai/mcp/servers/dimpagk92/cellar) 🦀 📇 🏠 🍎 🐧 - Hybrid computer-use runtime. Fuses accessibility tree + Chrome DevTools Protocol + vision into structured context with per-element confidence. 4 MCP tools (see/act/think/perceive). Continuous awareness engine (Cortex) with freshness + side-effect detection. Works offline with Ollama + local models.
- [Harusame64/desktop-touch-mcp](https://github.com/Harusame64/desktop-touch-mcp) [![desktop-touch-mcp MCP server](https://glama.ai/mcp/servers/Harusame64/desktop-touch-mcp/badges/score.svg)](https://glama.ai/mcp/servers/Harusame64/desktop-touch-mcp) 📇 🦀 🏠 🪟 - Windows desktop automation for LLM agents with entity-based actions instead of coordinate-only clicking. Uses UIA, CDP, screenshots, keyboard/mouse/clipboard, and terminal control, plus entity leases, verified delivery, causal context, and interaction memory to reduce silent UI automation failures. - [Harusame64/desktop-touch-mcp](https://github.com/Harusame64/desktop-touch-mcp) [![desktop-touch-mcp MCP server](https://glama.ai/mcp/servers/Harusame64/desktop-touch-mcp/badges/score.svg)](https://glama.ai/mcp/servers/Harusame64/desktop-touch-mcp) 📇 🦀 🏠 🪟 - Windows desktop automation for LLM agents with entity-based actions instead of coordinate-only clicking. Uses UIA, CDP, screenshots, keyboard/mouse/clipboard, and terminal control, plus entity leases, verified delivery, causal context, and interaction memory to reduce silent UI automation failures.