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Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.

5,107 stars SwiftOthers Updated Sep 4, 2026
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Documentation

Peekaboo ๐Ÿซฃ โ€” Mac automation that sees the screen and does the clicks.

CI
npm
GitHub release
macOS 15+
Swift 6.2
Node
License
Homebrew
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Peekaboo is a macOS CLI and menu-bar app for screen capture, accessibility inspection, and native UI automation. Use it directly, let its agent plan multi-step work, or expose the same toolset to MCP clients.

Peekaboo banner

Install

The released CLI and app require macOS 15 or later.

CLI with Homebrew

sh
brew install steipete/tap/peekaboo

MCP package with npm

The npm package requires Node.js 22 or later and includes the CLI plus its MCP launcher.

sh
npx -y @steipete/peekaboo --version

See MCP setup to connect it to Codex, Claude Code, Cursor, or another MCP client.

Mac app

Download the signed DMG from the latest GitHub release. The menu-bar app provides permission onboarding, visual feedback, and agent sessions; install the CLI separately when you also need `peekaboo` on `PATH`.

For source builds and alternative install details, see the installation guide.

Quick start

Check the permissions available to Peekaboo, then take a screenshot:

sh
peekaboo permissions status
peekaboo see --no-elements --mode screen --path /tmp/peekaboo-screen.png

Screen capture requires Screen Recording permission. Accessibility permission enables UI inspection and control; the permissions guide covers setup and the additional permission used for synthetic input.

Inspect a running app to get a structured UI map with opaque element IDs:

sh
peekaboo see --app Finder --json

That is the core loop: observe the current screen, choose an element from the result, and act on it.

What's new in 4.3.0

Peekaboo 4.3.0 adds exact-window pixel-focus typing, explicit foreground modifier-clicks, and stronger signed Bridge receipts for background automation. Window inventory explains whether combined Accessibility capture, screenshot-only recovery, or refreshed evidence is available, while isolated browser sessions keep targets and permissions bound to their caller. Secure credential input and shared app/CLI credential storage avoid process-list leaks and Keychain prompts. Faster caller-local startup, concurrent automatic capture, and modern protocol negotiation with signed OpenClaw hosts make everyday automation more predictable.

Automate an app

List Safari's windows, copy the intended `window_id` (`12345` below), then keep the entire interaction pinned to

that exact window:

sh
peekaboo window list --app Safari --json
peekaboo click "Address and search bar" --app Safari --window-id 12345
peekaboo type "github.com/openclaw/Peekaboo" --app Safari --window-id 12345
peekaboo press Return --app Safari --window-id 12345

Targeted semantic and typed CLI input uses background delivery when Peekaboo can resolve the process, so the app does

not have to become frontmost. Raw CLI `press` chords can also stay background with an exact window selector. The CLI

also accepts a fresh exact non-dialog snapshot; that snapshot is required by background-only Agent/MCP policy.

App/PID-only and targetless chords require explicit foreground consent, as do window-selector-only Agent/MCP chords.

Prefer a semantic action such as `menu click` when one exists. See the

automation guide for element IDs, coordinates, snapshots, waits, and input behavior.

Agent and MCP

The agent combines the same observation and action tools into a natural-language run:

sh
peekaboo agent "Open Safari, go to github.com, and search for Peekaboo" --allow-foreground

Agent runs need a configured model provider. See agent setup for providers and sessions, or MCP setup to expose Peekaboo's tools to another client.

Command map

GoalCommandsGuide
Observe the desktop`see`, `screen list`, `window list`Capture and inspection
Interact with UI`click`, `type`, `press`, `scroll`, `drag`, `set-value`, `action`Automation
Control macOS`app`, `window`, `menu`, `menubar`, `dock`, `dialog`, `space`Command reference
Run workflows`agent`, `capture`Agent ยท Capture
Integrate with clients`mcp`, `browser`, `tools`MCP

Run `peekaboo help ` for live CLI help. The complete command index links to flags, examples, and troubleshooting for every command.

Configuration

Peekaboo stores provider credentials and settings under `~/.peekaboo`. Use `peekaboo config` to inspect or change them, and consult the configuration guide for profiles, environment variables, and custom providers. The provider reference covers hosted, compatible, and local model backends.

Shell completions for zsh, bash, and fish come from `peekaboo completions`; see the completion guide for persistent setup.

Learn more

Community

  • PeekabooWin โ€” Windows-first rewrite of the Peekaboo automation loop (JavaScript + PowerShell) by @FelixKruger
  • PeekabooX โ€” Linux-first rewrite of the Peekaboo automation loop (Rust + Python) by @nordbyte

Development

Source builds require macOS 15 or later, Swift 6.2 or later, Node.js 22 or later, and the repository's submodules.

sh
pnpm install --frozen-lockfile
pnpm run build:cli
pnpm run lint:docs
pnpm run test:safe

More build, signing, and test details live in docs/building.md.

License

MIT. See LICENSE.

Frequently asked questions

What is Peekaboo?

Peekaboo is Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.

How do I install Peekaboo?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is Peekaboo open source?

Yes โ€” it is hosted on GitHub at https://github.com/openclaw/Peekaboo and has 5,107 stars.

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