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  • A
    license
    B
    quality
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    maintenance
    Runs 20 slash-command workflows across Google Calendar, Gmail, Linear, Slack, Granola, Google Docs, GitHub, Stripe, Notion, Google Forms, Sheets and Drive to produce morning briefs, meeting prep, action items assigned to owners and weekly updates. Reads proceed without asking, while anything that creates, sends, changes or deletes is shown for approval first.
    47
    1
    Apache 2.0
  • A
    license
    Not graded
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    B
    maintenance
    Enables aggregation, filtering, transformation, and composition of tools from multiple MCP servers through a single proxy with tool views.
    5
    AGPL 3.0
  • F
    license
    A
    quality
    C
    maintenance
    A robust MCP server with tools to search, install, configure, repair, and uninstall MCP servers, automating setup and maintenance across multiple AI and developer tools.
    4
    17
    -
  • A
    license
    A
    quality
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    maintenance
    Free and open-source MCP server for managing n8n workflows, executions, and tags via n8n's API. Enables workflow creation, activation, debugging, and deletion from any MCP client.
    12
    2
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables MCP agents to run, continue, observe, check status of, and abort bounded GUI automation tasks through a shared local runtime with visual detection and deterministic input.
    Apache 2.0
  • A
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    Not graded
    quality
    B
    maintenance
    An MCP server exposing 21 tools so Claude, ChatGPT and Cursor can search 15.5M US businesses and people, enrich rows through waterfalls, manage People and Companies databases, run AI agents and workflows, and watch signals. It runs on the user's own Cloudflare account with provider keys they control.
    MIT
  • A
    license
    A
    quality
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    maintenance
    Zero-dependency macOS desktop automation for AI agents. Screenshot, mouse, keyboard, clipboard, and window control via MCP. 18 tools, macOS 13+, one command: npx mac-use-mcp.
    18
    138 npm
    7
    MIT
  • A
    license
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    quality
    C
    maintenance
    Enables coding agents to observe and control an authorized Android phone over ADB through MCP tools and a JSON CLI. It supports UI inspection, screenshots, taps, swipes, typing, key presses, app listing, and launching.
    13
    51
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    MCP server for Windows computer use, providing low-token, low-latency automation through UIA/Win32, OCR, and vision. It enables batch actions, shortcuts, isolated desktop execution, and browser control via MCP tools.
    13
    2
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables a constrained subagent to perform foreground GUI actions on Hyprland—observing, focusing windows, clicking, typing, scrolling, dragging, and managing the clipboard—under per-action approval with lease, audit log, and kill-switch gating.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to automate both web browsers and native desktop applications through a unified interface, supporting tasks like browsing, clicking, typing, and file clipboard operations via exposed MCP tools.
    1
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    An MCP server for computer automation that provides tools for screenshots, mouse actions, keyboard input, and drag-and-drop functionality. It supports cross-platform desktop interaction for both Linux (X11) and Windows environments.
    446 npm
    2
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI agents to monitor and read Android notifications in real-time via Termux. Provides access to current notifications with filtering capabilities and real-time streaming of new notifications as they arrive.
    10 npm
    1
    Functional Source , Version 1.1, MIT Future
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to see, locate UI elements, and operate any Windows desktop app through natural language, using accessibility-tree matching with optional vision-model fallback, plus an autonomous visual loop with introspection and meta-learning.
    3
    MIT