Desktop Pilot MCP

Desktop Pilot MCP

Enables high-speed native macOS automation for Claude by interacting directly with the Accessibility API, AppleScript, and UI trees instead of using screenshots. It allows users to read app states, click elements, and type text semantically across any macOS application.

Category
访问服务器

README

<p align="center"> <h1 align="center">Desktop Pilot MCP</h1> <p align="center">Native macOS automation for Claude. 30-100x faster than screenshots.</p> </p>

<p align="center"> <a href="#"><img alt="Version" src="https://img.shields.io/badge/version-1.0.0-blue.svg" /></a> <a href="LICENSE"><img alt="License: MIT" src="https://img.shields.io/badge/license-MIT-green.svg" /></a> <a href="#"><img alt="Platform" src="https://img.shields.io/badge/platform-macOS%2013%2B-lightgrey.svg" /></a> <a href="#"><img alt="Swift 6" src="https://img.shields.io/badge/swift-6.0-orange.svg" /></a> <a href="#"><img alt="Tests" src="https://img.shields.io/badge/tests-22%20passing-brightgreen.svg" /></a> <a href="#"><img alt="Binary Size" src="https://img.shields.io/badge/binary-427KB-purple.svg" /></a> <a href="#"><img alt="Dependencies" src="https://img.shields.io/badge/dependencies-0-blue.svg" /></a> </p>


Desktop Pilot is an MCP server that gives Claude direct access to any macOS application through the Accessibility API, AppleScript, and CGEvent -- no screenshots, no pixel coordinates, no vision model overhead. It reads the actual UI tree and acts on semantic element references, the same way Playwright works for browsers.

One snapshot of Telegram takes 20ms and returns structured data. The same operation with screenshot-based computer-use takes ~3 seconds and returns pixels.

pilot_snapshot { "app": "Telegram" }

[e1] Window "Saved Messages"
  [e2] MenuButton "Main menu"
  [e3] Button "All chats (111 unread chats)"
  [e7] Button "Code (4 unread chats)"
  [e18] TextField "Write a message..."
  [e20] Button "Record Voice Message"

pilot_click { "ref": "e18" }       // focus the text field
pilot_type  { "ref": "e18", "text": "Hello from Claude" }
pilot_click { "ref": "e20" }       // send

No coordinates. No screenshots. No guessing. Just refs.


Quick Start (2 minutes)

npx desktop-pilot-mcp

Step 1. Add to your Claude config and restart Claude:

For Claude Code, add to ~/.claude.json under your project's mcpServers:

{
  "desktop-pilot": {
    "command": "npx",
    "args": ["-y", "desktop-pilot-mcp"]
  }
}

For Claude Desktop, add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "desktop-pilot": {
      "command": "npx",
      "args": ["-y", "desktop-pilot-mcp"]
    }
  }
}

Step 2. Grant Accessibility permission when macOS prompts you (one-time).

If the prompt doesn't appear: System Settings > Privacy & Security > Accessibility -- add your terminal app or Claude Desktop.

Step 3. Ask Claude to interact with any app:

"Take a snapshot of Telegram and show me what's on screen"

That's it. No API keys, no accounts, no configuration files.

<details> <summary>Alternative: build from source</summary>

Requires Swift 6.0+ (included with Xcode 16+).

git clone https://github.com/VersoXBT/desktop-pilot-mcp.git
cd desktop-pilot-mcp
swift build -c release

Then use the binary path directly in your Claude config:

{
  "desktop-pilot": {
    "command": "/absolute/path/to/desktop-pilot-mcp/.build/release/desktop-pilot-mcp",
    "args": []
  }
}

</details>


Benchmarks

Real measurements from testing against Telegram, Finder, and other macOS apps:

Operation computer-use (screenshots) Desktop Pilot Speedup
Snapshot (read full UI tree) ~3000ms 20ms 150x
Snapshot (Finder, 45 elements) ~3000ms 78ms 38x
Click element ~3000ms ~50ms 60x
Read element value ~3000ms <1ms 3000x
Find buttons by role ~3000ms 4ms 750x
Type text ~4000ms ~20ms 200x
Full flow (click + type + send) ~14s ~450ms 30x

Screenshot-based approaches (computer-use, etc.) pay the cost of a full screen capture, a vision model call, and coordinate calculation on every single operation. Desktop Pilot reads and acts on the live UI tree directly.


How It Works

Desktop Pilot uses four interaction layers with a smart router that picks the fastest method for each app and action:

                         +-------------------+
                         |   Smart Router    |
                         | (per-app + per-   |
                         |  action routing)  |
                         +--------+----------+
                                  |
                  +-------+-------+-------+--------+
                  |       |               |        |
           +------+--+ +--+------+ +-----+---+ +--+--------+
           |AppleScript| |  AX   | | CGEvent | |Screenshot |
           | Layer    | | Layer  | |  Layer  | |  Layer    |
           +----------+ +--------+ +---------+ +-----------+
           Priority: 20  Pri: 0    Pri: 40     Pri: 50
           Scriptable   Universal  Raw input   Fallback
           apps only    all apps   injection   (vision)

Layer 1 -- Accessibility API (priority 0, universal) Reads the structured UI tree of any macOS app. Every button, text field, menu item, and label is exposed as a node with a semantic ref ID. This is the primary layer for reading state, clicking, and finding elements.

Layer 2 -- AppleScript / System Events (priority 20, scriptable apps) Deep scripting for apps with AppleScript dictionaries (Finder, Safari, Mail, Keynote, Music, etc.). The router detects scriptable apps via sdef and routes script-based operations here automatically.

Layer 3 -- CGEvent (priority 40, input injection) Ultra-fast keyboard and mouse input at 1-5ms latency. Used for typing text (more reliable than AXSetValue for most apps), keyboard shortcuts, mouse clicks at coordinates, and drag operations.

Layer 4 -- Screenshot (priority 50, last resort) Captures screen regions or specific element bounds as base64 PNG. Only used when Accessibility can't see the content -- game viewports, canvas elements, custom-rendered UI.

The Smart Router classifies each app (scriptable, Electron, native, unknown) and picks the optimal layer per action:

Action Scriptable apps Electron apps Native apps
Snapshot / Read / Find Accessibility Accessibility Accessibility
Click Accessibility Accessibility Accessibility
Type CGEvent Accessibility CGEvent
Script AppleScript Accessibility Accessibility
Menu Accessibility Accessibility Accessibility

Comparison

Feature Desktop Pilot computer-use (built-in) Playwright MCP adamrdrew/macos-accessibility-mcp steipete/macos-automator-mcp
Speed 20-100ms 2-5s 50-200ms ~200ms ~500ms
Native macOS apps Yes Yes No Yes Yes
Web apps / browsers Yes Yes Yes No No
Electron apps Yes Yes Yes Partial No
Accessibility API Yes No No Yes No
AppleScript integration Yes No No No Yes
CGEvent (raw input) Yes No No No No
Screenshot fallback Yes Yes (primary) Yes No No
Smart layer routing Yes No No No No
Semantic element refs Yes No Yes Basic No
Batch operations Yes No No No No
Menu bar navigation Yes No No No Via script
Zero dependencies Yes N/A Node.js Node.js Node.js
Binary size 427KB N/A ~50MB+ ~30MB+ ~30MB+

Tool Reference

Desktop Pilot exposes 10 tools through the MCP protocol. All tools use the pilot_ prefix.

pilot_snapshot

Get a structured snapshot of an app's UI element tree. This is the starting point for any interaction -- it returns every visible element with a ref ID you can pass to other tools.

{ "app": "Telegram" }
Parameter Type Required Description
app string No App name or bundle ID. Omit for frontmost app.
maxDepth integer No Maximum tree depth to traverse (default 10).

Returns a tree of elements, each with a ref (e.g. e1, e2), role, title, value, enabled/focused state, and bounding rectangle.


pilot_click

Click a UI element by its ref ID. Works with buttons, checkboxes, menu items, and any clickable element.

{ "ref": "e5" }
Parameter Type Required Description
ref string Yes Element reference ID from a snapshot.

pilot_type

Type text into a text field, search box, or any editable element. Focuses the element first, then inserts the text.

{ "ref": "e18", "text": "Hello from Claude" }
Parameter Type Required Description
ref string Yes Element reference ID from a snapshot.
text string Yes Text to type into the element.

pilot_read

Read the current value, title, role, and description of a UI element. Use to check text field contents, checkbox state, or label text.

{ "ref": "e3" }
Parameter Type Required Description
ref string Yes Element reference ID from a snapshot.

pilot_find

Search for UI elements matching criteria across an app's UI tree. Faster than a full snapshot when you know what you're looking for.

{ "role": "AXButton", "title": "Save", "app": "Finder" }
Parameter Type Required Description
role string No AX role to match (e.g. AXButton, AXTextField).
title string No Title/label substring, case-insensitive.
value string No Value substring to match.
app string No Limit search to this app. Omit for frontmost.

pilot_menu

Activate a menu bar item by path. Traverses the app's menu bar hierarchy directly.

{ "path": "File > Save As...", "app": "TextEdit" }
Parameter Type Required Description
path string Yes Menu path with > separator.
app string No App name or bundle ID. Omit for frontmost.

pilot_script

Run AppleScript or JXA (JavaScript for Automation) code targeting a specific app.

{
  "app": "Finder",
  "code": "tell application \"Finder\" to get name of every window",
  "language": "applescript"
}
Parameter Type Required Description
app string Yes Target app name.
code string Yes AppleScript or JXA code to execute.
language string No applescript (default) or jxa.

pilot_screenshot

Capture a screenshot of a specific element or the full screen. Returns base64 PNG. Use sparingly -- pilot_snapshot is usually better for understanding UI state.

{ "ref": "e1" }
Parameter Type Required Description
ref string No Element ref to screenshot. Omit for full screen.

pilot_batch

Execute multiple tool calls in sequence within a single MCP round-trip. Use to reduce latency when performing multi-step actions.

{
  "actions": [
    { "tool": "pilot_click", "params": { "ref": "e18" } },
    { "tool": "pilot_type",  "params": { "ref": "e18", "text": "Hello" } },
    { "tool": "pilot_click", "params": { "ref": "e20" } }
  ]
}
Parameter Type Required Description
actions array Yes Array of { tool, params } objects to execute in order.

pilot_list_apps

List all running macOS applications with their names, bundle IDs, PIDs, and window counts. Use to discover available apps before taking a snapshot.

{}

No parameters required.


Architecture

Sources/
  DesktopPilot/
    Core/
      AppRegistry.swift     # App discovery via NSWorkspace
      ElementStore.swift    # Actor-based ref-to-element mapping
      Router.swift          # Smart per-app, per-action routing
      Snapshot.swift        # Batch AX tree traversal
    Layers/
      LayerProtocol.swift   # InteractionLayer protocol
      AccessibilityLayer.swift  # AXUIElement tree reading + actions
      AppleScriptLayer.swift    # System Events + sdef scripting
      CGEventLayer.swift        # Raw keyboard/mouse injection
      ScreenshotLayer.swift     # Screen capture fallback
    MCP/
      Server.swift          # JSON-RPC 2.0 with Content-Length framing
      Tools.swift           # 10 tool definitions + dispatch
      Types.swift           # PilotElement, AppSnapshot, AppInfo
    Platform/
      PlatformProtocol.swift    # Cross-platform bridge interface
      macOS/
        AXBridge.swift          # Low-level AXUIElement C API wrapper
        Permissions.swift       # Accessibility permission management
        SystemEvents.swift      # AppleScript/JXA execution helper
  DesktopPilotCLI/
    main.swift              # Entry point: permission check + server start
Tests/
  DesktopPilotTests/
    DesktopPilotTests.swift # 22 tests: types, router, registry, MCP, tools

Key design decisions:

  • Zero dependencies. The entire server is built on Apple frameworks only (ApplicationServices, AppKit, CoreGraphics). No SwiftNIO, no Vapor, no third-party JSON library. This keeps the binary at 427KB.
  • Actor-based element store. Refs are ephemeral -- they reset on each snapshot. The ElementStore actor guarantees thread-safe access to the AXUIElement-to-ref mapping across concurrent tool calls.
  • Content-Length framing. The MCP server uses the standard JSON-RPC 2.0 protocol with Content-Length header framing over stdin/stdout, matching the MCP specification exactly.
  • Batch attribute reading. Instead of N individual AXUIElementCopyAttributeValue calls per element, the snapshot builder uses AXUIElementCopyMultipleAttributeValues to read 6 attributes in a single call. This is why snapshots are fast.

Supported Apps

Desktop Pilot works with any macOS application that exposes an accessibility tree (which is virtually all of them):

Category Examples Primary Layer
Apple native Finder, Safari, Mail, Notes, Calendar, Music AppleScript + Accessibility
Productivity Microsoft Office, Google Chrome, Firefox Accessibility
Electron VS Code, Discord, Slack, Spotify, Signal Accessibility
Creative Final Cut Pro, Logic Pro, Xcode AppleScript + Accessibility
Communication Telegram, iMessage, WhatsApp Accessibility
System System Settings, Activity Monitor, Terminal Accessibility

Use Cases

  • Automate any macOS workflow -- file management, app configuration, data entry across apps
  • Build AI agents that operate native desktop applications Claude can't reach through web APIs
  • Test macOS apps by driving the UI through structured element refs instead of fragile pixel coordinates
  • Cross-app orchestration -- copy data from one app, process it, paste into another, all in a single Claude session
  • Accessibility auditing -- inspect the full UI tree of any app to verify accessibility compliance

Troubleshooting

"Accessibility permission not granted" Open System Settings > Privacy & Security > Accessibility and add the binary or your terminal app. Restart the MCP server after granting.

"Failed to capture screenshot" Grant Screen Recording permission in System Settings > Privacy & Security > Screen Recording. Required only for pilot_screenshot.

Stale refs (Unknown ref 'e5') Refs reset on every pilot_snapshot call. Always take a fresh snapshot before interacting with elements. If an app's UI has changed since the last snapshot, the old refs are invalid.

Electron apps not responding to pilot_type Some Electron apps (VS Code, Discord) swallow raw key events. The router handles this by using Accessibility (AXSetValue) instead of CGEvent for Electron apps. If typing still fails, try pilot_script with a System Events keystroke.

Empty snapshots The app may not have any open windows, or it may use a non-standard UI framework (games, OpenGL/Metal renderers). Use pilot_screenshot as a fallback for custom-rendered content.


Development

# Build debug
swift build

# Build release
swift build -c release

# Run tests
swift test

# Run the server directly
swift run desktop-pilot-mcp

The project is split into a library target (DesktopPilot) and an executable target (DesktopPilotCLI) for testability. All core logic lives in the library; the CLI is a thin entry point.


License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选