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    Mac window manager AI agents can drive: see every monitor and window, apply multi-monitor layouts in one call, save and relaunch whole workspaces, snap zones, keep-awake, and annotated screenshots. Backed by a native macOS menu bar app over a local-only loopback API — no cloud, no telemetry.
    22
    16
    MIT
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    C
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    Reports the local user's current activity and idle state, including idle duration, idle threshold comparison, and timestamps, so agents can decide whether to wait for user feedback or keep working autonomously. All activity data is collected on-device through operating-system APIs and returned only to the connected MCP client.
    1
    MIT
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    Enables remote Linux operations over Streamable HTTP, allowing MCP clients to read/write files, run shell jobs, keep disk memory, and activate operator-authored TypeScript tools, with operator confirmation for every tool call.
    MIT
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    Enables MCP clients to run Google Antigravity CLI (agy) as durable, detached asynchronous jobs with a permission gate and broker-computed verdicts that do not trust agy's own exit code.
    9
    30 npm
    MIT
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    Enables an AI to see and drive any Windows application through the accessibility tree - reading real element names, states and actions and invoking the app's own controls without screenshots or moving the mouse, even for windows behind others. Also exposes 200+ native Windows tools for system health, hardware, network, privacy, files, processes, registry, media and more.
    2
    Apache 2.0
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    Enables AI agents to drive an Android TV or Google TV box end to end through named tools — discover, pair, connect, check, install, provision, link, test, screenshot, report and a gated shell — with usage instructions embedded in the tool descriptions so the agent never improvises adb. Every command passes the same safety gate that refuses destructive actions.
    Apache 2.0