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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 5:46:14 PM

Computer Use Turbo

UnverifiedWe have not yet confirmed this server installs or runs. User RatingsBe the first to rate and review this MCP server!
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).
desktop-automationcomputer-usemcpcross-platformdeveloper-tools

Operate desktop applications through accessibility-aware MCP tools on macOS, Windows, and Linux.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for Computer Use Turbo, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Tool Schemas (18) Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Overview

Computer Use Turbo MCP server lets MCP-capable agents inspect and control desktop applications on macOS, Windows, and Linux. It combines numbered accessibility-tree observations with screenshots, then sends validated clicks, text input, keyboard commands, menu actions, and other UI operations through a platform helper. The server runs over local stdio while the helper handles OS permissions and input. Reach for it when an agent needs to work with real desktop applications, system panels, or background workflows rather than web APIs.

Use cases

β€’Open and edit documents in desktop applications
β€’Fill fields and submit workflows in native apps
β€’Run application menu commands by path
β€’Automate multi-step desktop tasks with checked actions
β€’Inspect and operate system panels

Key features

β€’Accessibility-tree observations with screenshots
β€’Background desktop interaction
β€’Cross-platform macOS, Windows, and Linux support
β€’Menu command search and execution
β€’Checked multi-action workflows
β€’Permission and password safety controls

Capabilities & Tool Schemas (18) ~303 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Computer Use Turbo.

find_apps

Lists the apps the agent can target, running apps first, then system panels

observe_app

Returns the app's interface as numbered lines plus a screenshot; later calls report only changes

click_at

Clicks an element by number, or a point on the screenshot

write_text

Types text, through accessibility where possible

send_keys

Presses a key or key combination (`cmd+s`, `Return`, `ctrl+shift+Tab`)

fill_value

Replaces a field's value directly

How Computer Use Turbo works

What Computer Use Turbo MCP server does

Computer Use Turbo MCP server connects an MCP client to desktop applications on macOS, Windows, and Linux. It can discover available applications, inspect a window, interact with controls, enter or paste content, use keyboard shortcuts, operate menus, and wait for visible or structural changes.

The agent receives an app representation as numbered accessibility-tree lines together with a screenshot. This lets it target a reported element or coordinate instead of relying only on image interpretation. The server can also expose system panels such as Control Center, Notification Center, and Spotlight through available menu-bar status items.

How it works

The Node.js MCP server communicates with the agent over standard input and output. It validates tool arguments, identifies the connected agent, starts the helper when needed, and converts screenshots into MCP image content. A platform-specific helper performs the actual application access, screen capture, input synthesis, and safety enforcement.

On macOS, the helper uses Accessibility APIs, ScreenCaptureKit, and CGEvent. Windows uses UI Automation, PrintWindow, and SendInput. Linux uses AT-SPI, with XTest on X11 and desktop portals, PipeWire, and libei on Wayland.

Applications can remain behind other windows during most operations, and the agent does not move the user's mouse. A live preview can show the activity. Certain operations, including some menu-bar interactions, file drags, and applications with custom-rendered interfaces, may briefly bring an app forward while the user is idle.

Setup and configuration

Installation requires Node.js 20 or newer and Git. Clone the repository, build and install the helper for the host operating system, then add server/src/server.mjs as an MCP server using the name turbo.

macOS requires version 14 or later plus Xcode or the Command Line Tools. Accessibility and Screen & System Audio Recording permissions must be granted in System Settings. Windows requires Rust with the MSVC toolchain and does not require permission grants. Linux requires Rust, an accessibility-enabled desktop session, and development packages for PipeWire, xkbcommon, and clang. Wayland also requires a desktop portal with RemoteDesktop and ScreenCast support.

Claude Code and Codex provide documented commands for registering the server. Other MCP clients can use the generated configuration from scripts/mcp-config.sh or its PowerShell equivalent on Windows.

Tools and capabilities

Computer Use Turbo MCP server exposes tools for the full interaction loop:

  • Discover applications and inspect their current interface with find_apps and observe_app.
  • Click controls, type or replace values, select field text, scroll, drag, and paste plain text, Markdown, or HTML.
  • Send key chords, invoke named accessibility actions, and search or run application menu commands.
  • Wait for text, element changes, windows, or application settling before continuing.
  • Batch checked actions with run_steps, display or hide the preview, inspect permissions, and end a session with finish.

Later observations report changes rather than repeating the entire state where possible. run_command can execute a menu command without opening the menu, while wait_for responds to application events instead of requiring polling.

Limitations and notes

Password fields are not typed into automatically. Password-manager use requires confirmation, and system authentication remains protected. The user's agent permissions remain in control, and the helper is the only component that directly touches applications.

A signing certificate is recommended for macOS because rebuilding without one can require permissions to be granted again. Linux Wayland setup depends on a compatible desktop portal. Applications that do not expose usable accessibility information or that draw their own interface may require foreground handling and may provide less reliable targeting.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
2
Stargazers on the source repository.
Last commit
4d ago
Most recent push to the default branch.
Tools exposed
18
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Computer Use Turbo

Computer Use Turbo is an MCP server that connects AI agents to desktop applications on macOS, Windows, and Linux. Its main tools discover apps, observe accessibility-aware interfaces with screenshots, click and type, send keys, run menu commands, wait for changes, and execute checked multi-step workflows.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
ClientsClaude Code, OpenAI Codex CLI, Claude Desktop, Cursor, Cline / VS Code, Windsurf, VS Code (GitHub Copilot), Zed, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit4d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 10, 2026
47Quality signal: Fair Β· 47/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools20/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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