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    Your sysadmin co-pilot — an AI that administers Linux through typed, approval-gated, Ed25519-audited actions instead of shell strings. Reference implementation of the LACS standard.
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    MIT
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    GenieACS-MCP is a Go-based MCP server that bridges any GenieACS (TR-069 ACS) instance, exposing device data, firmware management, and CPE actions (reboot, parameter refresh, firmware download) over JSON-RPC
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    GPL 3.0
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    MCP server for controlling Android devices via semantic actions with verification, enabling any MCP client to interact with phones through natural language and structured tools.
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    MIT
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    Enables Claude Code to interact with Linux X11 desktops by performing mouse actions, keyboard input, and capturing screenshots. It provides a suite of tools for automation tasks such as clicking, typing, and zooming on specific screen regions.
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    Enables voice-controlled hardware to execute approved Mac actions (like opening apps and querying system status) through a secure MCP bridge.
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    MIT
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    Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.
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    MIT
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    Enables AI assistants to control and interact with BetterTouchTool on macOS, allowing users to query configurations, execute triggers and actions, manage variables and widgets, control presets, and access clipboard contents through natural language.
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    MIT
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    Enables AI assistants to identify processes listening on specific network ports by returning process names and PIDs. It provides infrastructure introspection capabilities through the Linux ss command to help users monitor and debug local services.
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    An MCP server that allows AI agents to drive real Android devices via adb, capturing screenshots, reading the live UI tree, and performing actions like tap, swipe, and type.
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    Apache 2.0
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    Provides a local MCP bridge for AI assistants to control a Mac by observing screen state and performing actions like mouse movement, clicking, typing, and opening URLs.
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    MIT
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    Token-efficient MCP server for Linux system diagnostics and desktop/hardware control, providing compact JSON output with hard size limits and a safety model that requires explicit flags for mutating actions.
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    An open-source MCP server for macOS and Windows that provides native desktop control via Accessibility APIs, OCR, and Chrome CDP. It enables AI agents to interact with applications, manage browser sessions, and automate workflows with high-speed native UI actions.
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    AGPL 3.0
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    An MCP server for macOS that enables AI agents to control the desktop GUI through keyboard input, mouse actions, and screen captures. It provides stable low-level primitives for UI automation and agent-driven desktop workflows.
    MIT