Peekaboo MCP Server

Peekaboo brings high-fidelity screen capture, AI analysis, and complete GUI automation to macOS. Version 3 adds native agent flows and multi-screen automation across the CLI and MCP server.

What you get

• Pixel-accurate captures (windows, screens, menu bar) with optional Retina 2x scaling.
• Natural-language agent that chains Peekaboo tools (see, click, type, scroll, hotkey, menu, window, app, dock, space).
• Action-first UI automation for routine clicks/scrolls, with synthetic input fallback for apps that need it.
• Direct accessibility tools for settable values and named actions (set-value, perform-action).
• Menu and menubar discovery with structured JSON; no clicks required.
• Multi-provider AI through Tachikoma, including hosted, local, and OpenAI-/Anthropic-compatible providers.
• MCP server for Codex, Claude Code, and Cursor plus a native CLI; the same tools in both.
• Configurable, testable workflows with reproducible sessions and strict typing.
• Requires macOS Screen Recording + Accessibility permissions (see docs/permissions.md).

Install

• macOS app + CLI (Homebrew):

  brew install steipete/tap/peekaboo
  

• MCP server (Node 22+, no global install needed):

  npx -y @steipete/peekaboo
  

Quick start

# Capture full screen at Retina scale and save to Desktop
peekaboo image --mode screen --retina --path ~/Desktop/screen.png

# Click a button by label (captures, resolves, and clicks in one go)
peekaboo see --app Safari --json | jq -r '.data.snapshot_id' | read SNAPSHOT
peekaboo click --on "Reload this page" --snapshot "$SNAPSHOT"

# Directly set a text field value when the accessibility value is settable
peekaboo set-value --on T1 --value "hello" --snapshot "$SNAPSHOT"

# Invoke a named accessibility action on an element
peekaboo perform-action --on B1 --action AXPress --snapshot "$SNAPSHOT"

# Run a natural-language automation
peekaboo agent "Open Notes and create a TODO list with three items"

# Run as an MCP server (Codex, Claude Code, Cursor)
npx -y @steipete/peekaboo

# Minimal MCP client config snippet:
# {
#   "mcpServers": {
#     "peekaboo": {
#       "command": "npx",
#       "args": ["-y", "@steipete/peekaboo"],
#       "env": {
#         "PEEKABOO_AI_PROVIDERS": "openai/gpt-5.5,anthropic/claude-opus-4-7"
#       }
#     }
#   }
# }

Shell completions

Peekaboo can generate shell-native completions directly from the same Commander metadata that powers CLI help and docs:

# Current shell (recommended)
eval "$(peekaboo completions $SHELL)"

# Explicit shells
eval "$(peekaboo completions zsh)"
eval "$(peekaboo completions bash)"
peekaboo completions fish | source

For persistent setup and troubleshooting, see docs/commands/completions.md.

Models and providers

Peekaboo's provider list changes with Tachikoma and the tested model catalog. See docs/providers.md for the current provider reference, including OpenAI, Anthropic, xAI/Grok, Google Gemini, MiniMax, Ollama, LM Studio, and compatible custom endpoints.

Set providers via PEEKABOO_AI_PROVIDERS or peekaboo config add.

Learn more

• Command reference: docs/commands/
• Platform support: docs/platform-support.md
• Architecture: docs/ARCHITECTURE.md
• Building from source: docs/building.md
• Testing guide: docs/testing/tools.md
• MCP setup: docs/commands/mcp.md
• Permissions: docs/permissions.md
• Ollama/local models: docs/ollama.md
• Agent chat loop: docs/agent-chat.md
• Service API reference: docs/service-api-reference.md

Community

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

Development basics

• Requirements: see docs/platform-support.md. Node 22+ is only needed for the npm MCP wrapper and pnpm helper scripts.
• Install deps: pnpm install then pnpm run build:cli or pnpm run test:safe.
• Lint/format: pnpm run lint && pnpm run format.

License

MIT