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open-computer-use

Open Computer Use is a local MCP server for AI agents to inspect and operate desktop apps through accessibility interfaces.

Place
#11 of 24
Score
6.1
open-computer-use's website

What open-computer-use is

Open Computer Use is a local MCP server for AI agents to inspect and operate desktop apps through accessibility interfaces. Its nine core tools cover finding apps, capturing accessibility trees and screenshots, clicking, scrolling, dragging, typing, pressing keys, performing secondary actions, and setting control values. The project documents setup for Codex CLI and App, Claude Code, Gemini CLI, and opencode, with manual configuration for other MCP clients. It also includes a ZCode plugin that installs the skill and connects an MCP server. The project says it runs on the user's machine and uses accessibility interfaces for core app actions without taking over the real mouse and keyboard. Password managers are refused; app launching, focus changes, and global input injection require explicit environment-variable gates. It supports macOS, Windows, and Linux. macOS 14 or later requires Accessibility and Screen Recording permissions; Linux requires AT-SPI2. Additional window-level tools are currently available on Windows, with macOS and Linux support in progress. The software is free, MIT-licensed, and intended for authorized machines.

Good

  • Runs locally on macOS, Windows, and Linux.
  • Core tools cover screenshots, accessibility trees, and desktop actions.
  • Documents setup for several MCP clients.
  • MIT-licensed and free to use.

Watch out

  • macOS 14 or later requires Accessibility and Screen Recording permissions.
  • Linux requires AT-SPI2.
  • Window-level tools are currently available only on Windows.
  • App launching and global input injection require explicit gates.

Who it suits

It suits people building AI-agent workflows that need local desktop app interaction through accessibility interfaces. Users should be comfortable with platform permissions and the project's security controls.

Verdict

Open Computer Use provides a focused set of local desktop controls for AI agents, with setup guidance for several clients. Check the platform requirements and authorization safeguards before using it on a signed-in desktop.

Plans and prices

From open-computer-use's own pricing page, checked 9 Oct 2001.

All about pricing
PlanPriceWhat it gives you
Open sourceFreeMIT-licensed · runs locally · macOS, Windows, Linux

The facts

Each one read from open-computer-use's own pages, with the date it was checked.

What it does

Desktop actions
Its nine core tools support app discovery, accessibility-tree and screenshot capture, clicking, scrolling, dragging, typing, key presses, secondary actions, and setting control values.checked 9 Oct 2001
Integrations
The project documents setup commands for Codex CLI and App, Claude Code, Gemini CLI, and opencode, and supports manual configuration for other MCP clients.checked 9 Oct 2001
License
The repository is distributed under the MIT license.checked 9 Oct 2001
Local operation
The project says it runs entirely on the user's machine and uses the accessibility layer without taking over the real mouse and keyboard for its core app actions.checked 9 Oct 2001
Permissions
On macOS 14 or later, the project requires Accessibility and Screen Recording permissions; Windows and Linux work in a signed-in desktop session, with Linux requiring AT-SPI2.checked 9 Oct 2001
Purpose
Open Computer Use is a local MCP server that lets AI agents inspect and operate desktop apps through accessibility interfaces.checked 9 Oct 2001
Safety controls
Password managers are refused, while app launching, focus changes, and global input injection require explicit environment-variable gates.checked 9 Oct 2001
Security policy
The security policy says fixes are provided for the latest npm release and asks users to report suspected vulnerabilities through GitHub's private vulnerability reporting channel.checked 9 Oct 2001
Security scope
The policy notes that the tool performs high-privilege accessibility and input automation in the local signed-in desktop session and should only be used on authorized machines.checked 9 Oct 2001
Support and audience
The project provides installation and troubleshooting references and invites contributions; its security policy says fixes are delivered through the regular release process.checked 9 Oct 2001
ZCode plugin
The repository includes a ZCode plugin that installs the skill and connects an MCP server.checked 9 Oct 2001

Where it runs

Platform limitation
The additional window-level tools are currently available on Windows, with macOS and Linux support in progress.checked 9 Oct 2001
Platforms
The runtime supports macOS, Windows, and Linux, with nine core tools available across all three.checked 9 Oct 2001

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