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    Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.
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    MIT
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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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    Inspect, manage, and kill local dev servers via MCP. Stop guessing what's on :3000. Five tools: list servers with framework detection, inspect ports, find zombies, diagnose conflicts, safe-kill with dry-run default. Local, no cloud, no telemetry.
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    Control TraeCN desktop automation through explicit, profile-scoped MCP tools. Supports task delegation, model control, dialog handling, code review, and unattended workflows.
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    Enables Claude to read and search through iMessage, SMS, and RCS conversations, including mixed-protocol group chats with Android users. It decodes binary message data from the macOS Messages database to provide a comprehensive view of message history.
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    MIT
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    Enables programmatic control of the WezTerm terminal emulator through the Model Context Protocol. It allows users to manage panes, tabs, and windows while reading terminal content or sending commands directly to the terminal environment.
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    Enables AI assistants to find and launch Windows applications by name using multi-strategy discovery via registry, Start Menu, PATH, and common directories.
    MIT
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    A Model Context Protocol server that provides desktop automation capabilities using RobotJS and screenshot capabilities, enabling LLMs to control mouse movements, keyboard inputs, and capture screenshots of the desktop environment.
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    Enables automation of WeChat on macOS through the Accessibility API, allowing LLMs to fetch recent messages from contacts and send replies based on conversation history.
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    MIT
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    Manages the lifecycle of MCP services with health monitoring, auto-restart capabilities, and process tracking. Enables users to start, stop, restart, and monitor MCP services through natural language commands.
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    A Python server that enables remote control of Bittle robots via Bluetooth using the Model Context Protocol (MCP), allowing users to programmatically send movement and pose commands.
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    Enables remote management and monitoring of the Rickbot-3000 robotic system through AI assistants. Provides real-time status monitoring, command execution, system diagnostics, and deployment management capabilities.