OScribe
Vision-based desktop automation MCP server that controls any application via screenshot and AI vision, enabling UI automation through natural language commands.
README
OScribe
Vision-based desktop automation MCP server. Control any application via screenshot + AI vision.
Supported Platforms & Applications
<div align="center">
Operating Systems
<table> <tr> <td align="center" width="150"> <img src="img/macos-logo.png" width="48" height="48" alt="macOS"/><br/> <b>macOS</b> </td> <td align="center" width="150"> <img src="img/windows-logo.png" width="48" height="48" alt="Windows"/><br/> <b>Windows</b> </td> </tr> </table>
Native Applications
<table> <tr> <td align="center" width="150"> <img src="img/finder-icon.png" width="48" height="48" alt="Finder"/><br/> <b>Finder</b><br/> <sub>File management</sub> </td> <td align="center" width="150"> <img src="img/windows-folder-icon.png" width="48" height="48" alt="Windows Explorer"/><br/> <b>Explorer</b><br/> <sub>File operations</sub> </td> <td align="center" width="150"> <img src="img/macos-settings-icon.png" width="48" height="48" alt="Settings"/><br/> <b>System Settings</b><br/> <sub>macOS & Windows</sub> </td> </tr> </table>
Web Browsers (CDP-enhanced)
<table> <tr> <td align="center" width="150"> <img src="img/chrome-logo.png" width="48" height="48" alt="Chrome"/><br/> <b>Chrome</b><br/> <sub>200-300+ elements</sub> </td> <td align="center" width="150"> <img src="img/brave-logo.png" width="48" height="48" alt="Brave"/><br/> <b>Brave</b><br/> <sub>Full CDP support</sub> </td> <td align="center" width="150"> <b>Edge, Arc, Opera</b><br/> <sub>Chromium-based</sub> </td> </tr> </table>
Note: Chrome 136+ requires automatic profile sync (~20-30s) due to CDP security changes.
</div>
Table of Contents
- Supported Platforms & Applications
- Why OScribe?
- Demo
- Features
- Quick Start
- MCP Integration
- How It Works
- Configuration
- Troubleshooting
- License
- Acknowledgements
Why OScribe?
"If you can see it, OScribe can click it."
OScribe is your fallback when traditional automation tools fail:
- Legacy apps without APIs
- Games and canvas apps without DOM
- Third-party software you can't modify
- Ad-hoc automation without infrastructure setup
Demo
Helltaker - Full Chapter 1 Automated
<div align="center"> <img src="demo/helltaker-chapter1.gif" alt="OScribe automating Helltaker Chapter 1" width="800"/> </div>
Claude plays through the entire first chapter of Helltaker using OScribe MCP tools - navigating menus, solving puzzles, and progressing through dialogue, all via screenshot + vision.
Features
- π― Vision-based - Locate UI elements by description using Claude vision
- π UI Automation - Get element coordinates via Windows accessibility tree
- π§ MCP Server - Integrates with Claude Desktop, Claude Code, Cursor, Windsurf
- β‘ Native Input - Uses robotjs for reliable mouse/keyboard control
- πΈ Multi-monitor - Supports multiple screens with DPI awareness
- πͺ Windows - Currently tested on Windows only
- βοΈ Electron Support - Full UI element detection in Electron apps (via NVDA)
Quick Start
Guided Installation (Recommended)
Run our interactive installer that checks and installs all prerequisites for you:
# macOS/Linux
curl -fsSL https://raw.githubusercontent.com/mikealkeal/oscribe/main/scripts/install.mjs | node
# Windows (PowerShell as Administrator)
irm https://raw.githubusercontent.com/mikealkeal/oscribe/main/scripts/install.mjs -OutFile install.mjs; node install.mjs
The installer will:
- β Check Node.js version (22+ required)
- β Check/install Python
- β Check/install build tools (VS Build Tools or Xcode CLI)
- β Install OScribe
Manual Installation
If you prefer manual installation or already have prerequisites:
npm install -g oscribe
Then configure your MCP client (see MCP Integration below).
Installation
System Prerequisites
OScribe uses robotjs for native mouse/keyboard control, which requires compilation tools:
Windows
-
Node.js 22+ - Download
-
Python 3.x - Download (check "Add to PATH" during install)
-
Visual Studio Build Tools - Install with C++ workload:
# Option 1: Via npm (recommended) npm install -g windows-build-tools # Option 2: Manual install # Download from https://visualstudio.microsoft.com/visual-cpp-build-tools/ # Select "Desktop development with C++" workload
macOS
-
Node.js 22+ - Download or
brew install node -
Xcode Command Line Tools:
xcode-select --install -
Python 3.x - Usually pre-installed, verify with
python3 --version
Verify Prerequisites
Before installing, run the diagnostic script to check all prerequisites:
# macOS/Linux - Run directly without installation
curl -fsSL https://raw.githubusercontent.com/mikealkeal/oscribe/main/scripts/doctor.mjs | node
# Windows (PowerShell)
irm https://raw.githubusercontent.com/mikealkeal/oscribe/main/scripts/doctor.mjs -OutFile doctor.mjs; node doctor.mjs
The doctor script checks:
- Node.js version (22+)
- Python installation
- Build tools (VS Build Tools on Windows, Xcode CLI on macOS)
It provides step-by-step fix instructions for any missing prerequisites.
After OScribe is installed, you can also run:
oscribe doctor
Additional Requirements
- Claude Desktop, Claude Code, or any MCP client (provides OAuth authentication)
From npm (Recommended)
# Global installation
npm install -g oscribe
# Verify installation
oscribe --version
From Source
git clone https://github.com/mikealkeal/oscribe.git
cd oscribe
npm install
npm run build
npm link # Makes 'oscribe' command available globally
Platform Support
| Platform | Status |
|---|---|
| Windows | β Fully supported |
| macOS | β Supported |
| Linux | π§ Not tested yet |
Windows Details
- PowerShell (included)
- UI Automation via PowerShell + .NET
- NVDA support for Electron apps
macOS Details
- Native screencapture command
- UI Automation via AXUIElement API (
ax-readerbinary) - Requires: Accessibility permissions (System Settings β Privacy & Security β Accessibility)
- Add Terminal or your IDE to allowed apps
- IMPORTANT for VSCode users: You must also authorize VSCode in "App Management" (Login Items & Extensions)
- Open System Settings β General β Login Items & Extensions
- Find "Visual Studio Code"
- Toggle ON the switch
- Enter your password or use Touch ID to confirm
- This is required for OScribe MCP to control your system from Claude Code
- Native apps (Chrome, Safari, Finder) work well
- Electron apps (VS Code, etc.) have limited element detection (same as Windows without NVDA)
Usage
CLI Commands
Vision-Based Clicking (The Core of OScribe!)
oscribe click "Submit button" # Click by description - the magic!
oscribe click "File menu" # Works on any visible element
oscribe click "Export as PNG" --screen 1 # Target specific monitor
oscribe click "Close" --dry-run # Preview without clicking
Input & Automation
oscribe type "hello world" # Type text
oscribe hotkey "ctrl+c" # Press keyboard shortcut
oscribe hotkey "ctrl+shift+esc" # Multiple modifiers
Screenshots
oscribe screenshot # Capture primary screen
oscribe screenshot -o capture.png # Save to file
oscribe screenshot --screen 1 # Capture second monitor
oscribe screenshot --list # List available screens
oscribe screenshot --describe # Describe screen content with AI
Window Management
oscribe windows # List open windows
oscribe focus "Chrome" # Focus window by name
oscribe focus "Calculator" # Works with partial matches
MCP Server
oscribe serve # Start MCP server (stdio transport)
Global Options
--verbose, -v # Detailed output
--dry-run # Simulate without executing
--quiet, -q # Minimal output
--screen N # Target specific screen (default: 0)
Examples
# Take screenshot and save
oscribe screenshot -o desktop.png
# Type with delay between keystrokes
oscribe type "slow typing" --delay 100
# Use second monitor
oscribe screenshot --screen 1 --describe
# Dry run to see what would happen
oscribe type "test" --dry-run
MCP Integration
OScribe exposes tools via Model Context Protocol for AI agents. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and any MCP-compatible client.
Quick Setup
Claude Desktop
Edit your config file:
| OS | Config Path |
|---|---|
| Windows | %APPDATA%\Claude\claude_desktop_config.json |
| macOS | ~/Library/Application Support/Claude/claude_desktop_config.json |
Add OScribe to mcpServers:
{
"mcpServers": {
"oscribe": {
"command": "npx",
"args": ["-y", "oscribe", "serve"]
}
}
}
Or if installed globally (npm install -g oscribe):
{
"mcpServers": {
"oscribe": {
"command": "oscribe",
"args": ["serve"]
}
}
}
Then restart Claude Desktop. You'll see a π icon indicating MCP tools are available.
Claude Code / Cursor / Windsurf
Add a .mcp.json file in your project root:
{
"mcpServers": {
"oscribe": {
"command": "npx",
"args": ["-y", "oscribe", "serve"]
}
}
}
Or if installed globally:
{
"mcpServers": {
"oscribe": {
"command": "oscribe",
"args": ["serve"]
}
}
}
Available MCP Tools
| Tool | Description | Parameters |
|---|---|---|
os_screenshot |
πΈ Capture screenshot + cursor position | screen? (default: 0) |
os_inspect |
π Get UI elements via Windows UI Automation | window? |
os_inspect_at |
π― Get element info at coordinates | x, y |
os_move |
Move mouse cursor | x, y |
os_click |
Click at current cursor position | window?, button? |
os_click_at |
Move + click in one action | x, y, window?, button? |
os_type |
Type text | text |
os_hotkey |
Press keyboard shortcut | keys (e.g., "ctrl+c") |
os_scroll |
Scroll in direction | direction, amount? |
os_windows |
List open windows + screens | - |
os_focus |
Focus window by name | window |
os_wait |
Wait for duration (UI loading) | ms (max 30000) |
os_nvda_status |
Check NVDA screen reader status (Electron support) | - |
os_nvda_install |
Download NVDA portable for Electron apps | - |
os_nvda_start |
Start NVDA in silent mode | - |
os_nvda_stop |
Stop NVDA screen reader | - |
MCP Usage Example
Once configured, Claude can automate your desktop:
"Take a screenshot and describe what you see"
"Inspect the UI elements and click the Submit button"
"List all windows and focus on Chrome"
"Type 'hello world' and press Ctrl+Enter"
Workflow: Claude uses os_screenshot to see the screen, os_inspect to get element coordinates, then os_move + os_click for precise interaction.
Configuration
Config directory: ~/.oscribe/
Files
config.json- Application settings
config.json
{
"defaultScreen": 0,
"dryRun": false,
"logLevel": "info",
"cursorSize": 128
}
Configuration Options
| Option | Type | Default | Description |
|---|---|---|---|
defaultScreen |
number | 0 |
Default monitor to capture |
dryRun |
boolean | false |
Simulate actions without executing |
logLevel |
string | "info" |
Log level: debug, info, warn, error |
cursorSize |
number | 128 |
Cursor size in screenshots (32-256) |
nvda.autoDownload |
boolean | false |
Auto-download NVDA when needed |
nvda.autoStart |
boolean | true |
Auto-start NVDA for Electron apps |
nvda.customPath |
string | - | Custom NVDA installation path |
How It Works
OScribe uses a multi-layer approach for desktop automation (Windows):
-
Screenshot Layer - Captures screen using PowerShell + .NET System.Drawing
-
UI Automation Layer - Gets element coordinates via Windows accessibility tree:
- Uses Windows UI Automation API via PowerShell
- Returns interactive elements with screen coordinates
- Works like a DOM for desktop apps
-
Input Layer - Uses robotjs for:
- Mouse movement and clicks
- Keyboard input and hotkeys
- Adapts to Windows mouse button swap settings
Best strategy: Use os_screenshot which returns UI elements with coordinates, then os_move + os_click for precise interaction.
Development
Setup
git clone https://github.com/mikealkeal/oscribe.git
cd oscribe
npm install
Scripts
npm run build # Build TypeScript
npm run dev # Development mode (watch)
npm run typecheck # Type check only
npm run lint # Run ESLint
npm run lint:fix # Fix linting issues
npm run format # Format with Prettier
npm run clean # Remove dist folder
Project Structure
oscribe/
βββ bin/
β βββ oscribe.ts # CLI entry point
βββ src/
β βββ core/
β β βββ screenshot.ts # Multi-platform screen capture
β β βββ input.ts # Mouse/keyboard control (robotjs)
β β βββ windows.ts # Window management
β β βββ uiautomation.ts # Windows UI Automation (accessibility)
β βββ cli/
β β βββ commands/ # CLI command implementations
β β βββ index.ts # Command registration
β βββ mcp/
β β βββ server.ts # MCP server (12 tools)
β βββ config/
β β βββ index.ts # Config management with Zod
β βββ index.ts # Main exports
βββ package.json
βββ tsconfig.json
βββ .env.example
βββ LICENSE
Tech Stack
- Runtime: Node.js 22+ (ESM)
- Language: TypeScript 5.7+ (strict mode)
- Validation: Zod
- CLI: Commander + Chalk + Ora
- Vision: Anthropic SDK (Claude Sonnet 4)
- Input: robotjs (native automation)
- Screenshot: screenshot-desktop + platform-specific tools
- MCP: @modelcontextprotocol/sdk
Troubleshooting
Installation Issues
npm install fails with node-gyp errors:
First, run the diagnostic script (no installation required):
# macOS/Linux
curl -fsSL https://raw.githubusercontent.com/mikealkeal/oscribe/main/scripts/doctor.mjs | node
# Windows (PowerShell)
irm https://raw.githubusercontent.com/mikealkeal/oscribe/main/scripts/doctor.mjs -OutFile doctor.mjs; node doctor.mjs
This is usually due to missing build tools. robotjs requires native compilation.
# Error examples:
# - "gyp ERR! find Python"
# - "gyp ERR! find VS"
# - "node-pre-gyp ERR! build error"
Windows fix:
# 1. Install Python (if missing)
# Download from https://www.python.org/downloads/
# IMPORTANT: Check "Add Python to PATH" during installation
# 2. Install Visual Studio Build Tools
npm install -g windows-build-tools
# Or manually: download from https://visualstudio.microsoft.com/visual-cpp-build-tools/
# Select "Desktop development with C++" workload
# 3. Retry installation
npm install -g oscribe
macOS fix:
# 1. Install Xcode Command Line Tools
xcode-select --install
# 2. Retry installation
npm install -g oscribe
Still failing? Try clearing npm cache:
npm cache clean --force
npm install -g oscribe
MCP Server Issues
Server not starting:
- Check Node.js version:
node --version(requires 22+) - Rebuild if needed:
npm run build - Check path in your MCP config file
Tools not appearing in Claude Desktop:
- Restart Claude Desktop after config changes
- Check
claude_desktop_config.jsonsyntax (valid JSON) - Look for π icon in Claude Desktop interface
Windows Issues
Clicks not working:
- OScribe auto-detects swapped mouse buttons
- No manual configuration needed
UI elements not detected:
- Some apps don't expose UI Automation elements
- Use
os_screenshotto see what's visible - Coordinates are returned in the screenshot response
Electron apps showing few UI elements:
Electron/Chromium apps require NVDA screen reader to expose their full accessibility tree:
# Install NVDA portable (one-time)
oscribe nvda install
# Start NVDA silently (no audio)
oscribe nvda start
Or via MCP tools: os_nvda_install β os_nvda_start
NVDA runs in silent mode (no speech, no sounds). The agent will prompt to install NVDA when needed.
Manual NVDA installation:
If you prefer to install NVDA yourself, download from nvaccess.org and set the path in config:
{
"nvda": {
"customPath": "C:/Program Files/NVDA"
}
}
License
BSL 1.1 (Business Source License 1.1)
- β Free for personal use
- β Free for open-source projects
- β οΈ Commercial use requires a paid license (until 2029)
- π Converts to MIT on 2029-01-30 (then free for everyone)
See LICENSE for full terms.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Guidelines
- Follow the existing code style (ESLint + Prettier configured)
- Add tests for new features
- Update documentation as needed
- Ensure
npm run buildsucceeds - Check types with
npm run typecheck
Areas for Contribution
- [ ] Additional platform support (BSD, other Unix variants)
- [ ] More sophisticated element location strategies
- [ ] Performance optimizations
- [ ] Additional MCP tools
- [ ] Better error messages
- [ ] Documentation improvements
Support
- π Bug reports: GitHub Issues
- π¬ Questions: GitHub Discussions
- π Documentation: This README + inline code comments
Roadmap
- [x] npm package distribution
- [ ] Web interface for remote control
- [ ] Recording and playback of automation sequences
- [ ] Multi-provider vision support (GPT-4V, Gemini)
- [ ] Plugin system for custom tools
- [ ] Docker container distribution
Acknowledgements
OScribe is built on top of these great open-source projects:
- robotjs - Native mouse/keyboard control
- screenshot-desktop - Cross-platform screen capture
- @anthropic-ai/sdk - Claude API client
- @modelcontextprotocol/sdk - MCP server framework
- ffmpeg - GIF generation (optional, external)
Maintained by MickaΓ«l Bellun
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.