Screen Vision Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Screen Vision Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A Model Context Protocol (MCP) server that provides comprehensive screen capture, OCR, and visual understanding capabilities for macOS.
npm install -g screen-vision-mcp git clone https://github.com/TIMBOTGPT/screen-vision-mcp.git
cd screen-vision-mcp npm install npm startAdd this server to your Claude Desktop MCP configuration (claude_desktop_config.json):
{
"mcpServers": {
"screen-vision": {
"command": "npx",
"args": ["-y", "screen-vision-mcp"],
"description": "Screen capture and vision analysis"
}
}
}Or if installed locally:
{
"mcpServers": {
"screen-vision": {
"command": "node",
"args": ["/path/to/screen-vision-mcp/index.js"],
"description": "Screen capture and vision analysis"
}
}
}Capture the entire screen.
Parameters:
save_path (optional): Custom save path for the screenshotExample:
{
"name": "capture_fullscreen",
"arguments": {
"save_path": "/path/to/save/screenshot.png"
}
}Capture a specific application window.
Parameters:
app_name (required): Name of the application (e.g., "Safari", "Terminal")save_path (optional): Custom save pathExample:
{
"name": "capture_window",
"arguments": {
"app_name": "Safari",
"save_path": "/path/to/save/window.png"
}
}Capture a specific region of the screen.
Parameters:
x (required): X coordinatey (required): Y coordinatewidth (required): Width of regionheight (required): Height of regionsave_path (optional): Custom save pathCapture screen and extract text using OCR.
Parameters:
region (optional): Specific region to capturex, y, width, height: Region coordinatesFind text on screen and return its location.
Parameters:
text (required): Text to search forcase_sensitive (optional): Whether search should be case sensitive (default: false)Get list of all open windows with their positions.
Get information about available screens/displays.
Click at a specific screen position.
Parameters:
x (required): X coordinatey (required): Y coordinatebutton (optional): Mouse button ('left', 'right', 'middle', default: 'left')double_click (optional): Whether to double-click (default: false)Monitor a screen region for changes over time.
Parameters:
x, y, width, height (required): Region to monitorduration_seconds (optional): How long to monitor (max 30 seconds, default: 5)interval_ms (optional): Check interval in milliseconds (default: 1000)screencapture command)On first use, macOS may request permissions for:
Grant these permissions in System Preferences > Security & Privacy.
Screenshots are automatically saved to a screenshots/ directory within the server folder. You can:
# Install dependencies
npm install
# Start development server
npm run dev
# Run tests
npm testThe server includes hooks for macOS Vision framework integration for advanced OCR capabilities. Full OCR requires additional setup with native macOS Vision APIs.
The clicking and monitoring features enable automation workflows when combined with other MCP servers.
MIT License - see LICENSE file for details
For issues and questions, please use the GitHub Issues page.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.