mcp-computer-use
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- AlicenseNot gradedqualityCmaintenanceEnables MCP clients to control a Linux/X11 desktop like a human: see the screen, move the mouse, click UI elements via the accessibility tree, type text, and manage windows.MIT
- AlicenseNot gradedqualityCmaintenanceA framework-agnostic computer-use MCP server that exposes core desktop operations (screen capture, mouse, keyboard, and file access) as standard MCP tools, enabling any MCP-compatible agent to drive a computer.362 npmMIT
- AlicenseAqualityBmaintenanceAllows AI clients to see and control Windows 10/11 desktops via MCP, with screenshots, UI Automation, Chrome CDP, keyboard/mouse, and terminal using semantic element targeting.30209 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI clients on Windows to control the local mouse, keyboard, and screen understanding via MCP stdio, allowing automated workflows like viewing the screen, locating elements, clicking, typing, and verifying results.1Apache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables MCP-compatible AI platforms to see the screen and operate any desktop software through real mouse clicks, text input, key presses, and scripted scenario execution.MIT
- AlicenseBqualityDmaintenanceExposes Anthropic's computer-use action surface (screenshot, click, move, keyboard, clipboard, batch) against a persistent desktop display via MCP stdio protocol. Enables AI agents to control a virtual desktop environment through natural language instructions.24MIT
TDQS
Scored across 1 tool
With only one tool there is no possibility of mistaking it for another tool. The tool internally distinguishes capture, click, type, scroll, and drag through its action parameter, so the surface is unambiguous.
The single tool name 'computer_use' is clear and descriptive, though it does not follow a verb_noun pattern. There is no inconsistent naming across the set because only one name exists.
One tool is borderline for such a broad domain, but it deliberately consolidates all computer-use actions behind a single action parameter. This keeps the count minimal, though splitting actions into separate tools could improve discoverability.
The tool covers the core GUI automation lifecycle: capture, click, type, scroll, drag, and verification via re-capture. Minor operations like explicit right-click or file upload are not named, but the overall workflow is practical and mostly complete.