Peekaboo (macOS Screen Capture)▌
by steipete
Peekaboo empowers mac how to screen capture, mac screenshot, and window management with tools for screen snip on mac and
Enables macOS screen capture and window management with tools for taking screenshots, analyzing images, and controlling application windows
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / macOS automation and GUI testing
- / AI assistants that need screen awareness
- / Automating repetitive desktop tasks
capabilities
- / Capture pixel-accurate screenshots of windows or entire screens
- / Analyze screen content using AI vision models
- / Control applications through clicks, typing, and hotkeys
- / Navigate menus and discover UI elements
- / Manage windows and switch between applications
- / Automate multi-screen workflows
what it does
Provides high-fidelity screen capture and GUI automation tools for macOS. Enables AI assistants to see your screen, take screenshots, and control applications through natural language commands.
about
Peekaboo (macOS Screen Capture) is a community-built MCP server published by steipete that provides AI assistants with tools and capabilities via the Model Context Protocol. Peekaboo empowers mac how to screen capture, mac screenshot, and window management with tools for screen snip on mac and It is categorized under productivity, ai ml.
how to install
You can install Peekaboo (macOS Screen Capture) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Peekaboo (macOS Screen Capture) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Peekaboo 🫣 - Mac automation that sees the screen and does the clicks.

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.
Note: v3 is currently in beta (3.0.0-beta4) and has a few known issues; see the changelog for details.
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).
- Menu and menubar discovery with structured JSON; no clicks required.
- Multi-provider AI: GPT-5.1 family, Claude 4.x, Grok 4-fast (vision), Gemini 2.5, and local Ollama models.
- MCP server for Claude Desktop 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-output | jq -r '.data.snapshot_id' | read SNAPSHOT
peekaboo click --on "Reload this page" --snapshot "$SNAPSHOT"
# Run a natural-language automation
peekaboo "Open Notes and create a TODO list with three items"
# Run as an MCP server (Claude/Cursor)
npx -y @steipete/peekaboo
# Minimal Claude Desktop config snippet (Developer → Edit Config):
# {
# "mcpServers": {
# "peekaboo": {
# "command": "npx",
# "args": ["-y", "@steipete/peekaboo"],
# "env": {
# "PEEKABOO_AI_PROVIDERS": "openai/gpt-5.1,anthropic/claude-opus-4"
# }
# }
# }
# }
| Command | Key flags / subcommands | What it does |
|---|---|---|
| see | --app, --mode screen/window, --retina, --json-output | Capture and annotate UI, return snapshot + element IDs |
| click | --on <id/query>, --snapshot, --wait, coords | Click by element ID, label, or coordinates |
| type | --text, --clear, --delay-ms | Enter text with pacing options |
| press | key names, --repeat | Special keys and sequences |
| hotkey | combos like cmd,shift,t | Modifier combos (cmd/ctrl/alt/shift) |
| scroll | --on <id>, --direction up/down, --ticks | Scroll views or elements |
| swipe | --from/--to, --duration, --steps | Smooth gesture-style drags |
| drag | --from/--to, modifiers, Dock/Trash targets | Drag-and-drop between elements/coords |
| move | --to <id/coords>, --screen-index | Position the cursor without clicking |
| window | list, move, resize, focus, set-bounds | Move/resize/focus windows and Spaces |
| app | launch, quit, relaunch, switch, list | Launch, quit, relaunch, switch apps |
| space | list, switch, move-window | List or switch macOS Spaces |
| menu | list, list-all, click, click-extra | List/click app menus and extras |
| menubar | list, click | Target status-bar items by name/index |
| dock | launch, right-click, hide, show, list | Interact with Dock items |
| dialog | list, click, input, file, dismiss | Drive system dialogs (open/save/etc.) |
| image | --mode screen/window/menu, --retina, --analyze | Screenshot screen/window/menu bar (+analyze) |
| list | apps, windows, screens, menubar, permissions | Enumerate apps, windows, screens, permissions |
| tools | --verbose, --json-output, --no-sort | Inspect native Peekaboo tools |
| config | init, show, add, login, models | Manage credentials/providers/settings |
| permissions | status, grant | Check/grant required macOS permissions |
| run | .peekaboo.json, --output, --no-fail-fast | Execute .peekaboo.json automation scripts |
| sleep | --duration (ms) | Millisecond delays between steps |
| clean | --all-snapshots, --older-than, --snapshot | Prune snapshots and caches |
| agent | --model, --dry-run, --resume, --max-steps, audio | Natural-language multi-step automation |
| mcp | serve (default) | Run Peekaboo as an MCP server |
Models and providers
- OpenAI: GPT-5.1 (default) and GPT-4.1/4o vision
- Anthropic: Claude 4.x
- xAI: Grok 4-fast reasoning + vision
- Google: Gemini 2.5 (pro/flash)
- Local: Ollama (llama3.3, llava, etc.)
Set providers via PEEKABOO_AI_PROVIDERS or peekaboo config add.
Learn more
- Command reference: docs/commands/
- 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
Development basics
- Requirements: macOS 15+, Xcode 16+/Swift 6.2. Node 22+ only if you run the pnpm docs/build helper scripts (core CLI/app/MCP are Swift-only).
- Install deps:
pnpm installthenpnpm run build:cliorpnpm run test:safe. - Lint/format:
pnpm run lint && pnpm run format.
License
MIT
FAQ
- What is the Peekaboo (macOS Screen Capture) MCP server?
- Peekaboo (macOS Screen Capture) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Peekaboo (macOS Screen Capture)?
- This profile displays 25 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★25 reviews- ★★★★★Maya Gonzalez· Dec 12, 2024
Peekaboo (macOS Screen Capture) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Ava Gill· Nov 3, 2024
Peekaboo (macOS Screen Capture) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Ava Rao· Oct 22, 2024
According to our notes, Peekaboo (macOS Screen Capture) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Oshnikdeep· Sep 9, 2024
Strong directory entry: Peekaboo (macOS Screen Capture) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Noor Kim· Sep 5, 2024
Peekaboo (macOS Screen Capture) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Ganesh Mohane· Aug 28, 2024
Useful MCP listing: Peekaboo (macOS Screen Capture) is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Amelia Ghosh· Aug 24, 2024
Peekaboo (macOS Screen Capture) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Sakshi Patil· Jul 19, 2024
We evaluated Peekaboo (macOS Screen Capture) against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Meera Li· Jul 15, 2024
According to our notes, Peekaboo (macOS Screen Capture) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Yash Thakker· Jul 11, 2024
Peekaboo (macOS Screen Capture) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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