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Screenshot MCP Server

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Screenshot capture with PII masking and cross-platform support for AI agents

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Screenshot capture with PII masking and cross-platform support for AI agents

Security Report

4.0
Use Caution4.0High Risk

Valid MCP server (1 strong, 1 medium validity signals). 4 known CVEs in dependencies (1 critical, 3 high severity) ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry.

6 files analyzed Β· 5 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

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How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-digital-defiance-mcp-screenshot": {
      "args": [
        "-y",
        "@ai-capabilities-suite/mcp-screenshot"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

πŸ“Έ MCP ACS Screenshot Server

NPM Version GitHub Release License: MIT Node.js Version Docker Pulls

Give AI agents visual superpowers to see, analyze, and document your applications like senior UX designers.

This enterprise-grade MCP server transforms AI from code-only assistants into visual experts capable of UI analysis, accessibility auditing, documentation generation, and responsive design testing.

πŸ”— Repository

This package is now maintained in its own repository: https://github.com/Digital-Defiance/mcp-screenshot

This repository is part of the AI Capabilitites Suite on GitHub.

πŸ€” Why Do AI Agents Need Visual Capabilities?

AI agents today are powerful but visually blind:

  • ❌ Can read HTML/CSS but can't see actual layouts
  • ❌ Can suggest UI improvements without seeing the real user experience
  • ❌ Can't detect accessibility issues like poor contrast or spacing
  • ❌ Can't create visual documentation or bug reports
  • ❌ Can't analyze responsive design across different screen sizes

Result: You're stuck manually creating screenshots, documentation, and visual analysis that AI should handle.


🎯 Revolutionary Use Cases

πŸ“š "AI, create professional documentation"

You: "Document the checkout process with screenshots"
AI: *Captures each step, analyzes UI flow*
AI: "Generated complete user guide with 6 annotated screenshots, highlighting key interactions and error states..."

πŸ” "AI, audit this page for accessibility"

You: "Check if this form meets WCAG guidelines"
AI: *Captures form, analyzes visual elements*
AI: "Found 4 accessibility issues: contrast ratio 2.1:1 (needs 4.5:1), missing focus indicators, touch targets too small..."

πŸ› "AI, create a detailed bug report"

You: "The mobile navigation is broken"
AI: *Captures different viewport sizes*
AI: "Created bug report with before/after screenshots, exact breakpoint where it fails, and CSS fix suggestions..."

🎨 "AI, compare these design variations"

You: "Which hero section design works better?"
AI: *Captures both versions, analyzes visual hierarchy*
AI: "Version B has 28% better visual flowβ€”CTA more prominent, text hierarchy clearer, better use of whitespace..."

πŸ“± "AI, test responsive design"

You: "How does this look on different screen sizes?"
AI: *Captures multiple viewport sizes*
AI: "Layout breaks at 768pxβ€”sidebar overlaps content. Here's the media query fix with visual proof..."

✨ What This Changes

Before: AI worked blind, relying on code descriptions

  • ❌ "The button looks wrong" β†’ AI guesses the issue
  • ❌ "Create documentation" β†’ AI writes generic text
  • ❌ "Check accessibility" β†’ AI only reviews code
  • ❌ "Test responsive design" β†’ AI can't see actual breakpoints

After: AI sees and analyzes your actual user interface

  • βœ… Visual debugging - AI identifies exact pixel-level issues
  • βœ… Smart documentation - AI creates guides with real screenshots and annotations
  • βœ… Accessibility audits - AI measures actual contrast ratios and spacing
  • βœ… Responsive testing - AI captures and compares different screen sizes
  • βœ… Design analysis - AI evaluates visual hierarchy and user experience
  • βœ… Professional reports - AI creates detailed visual evidence for bugs and improvements

πŸš€ Features

  • Multi-format Support: PNG, JPEG, WebP, BMP with configurable quality
  • Flexible Capture: Full screen, specific windows, or custom regions
  • Privacy Protection: PII masking with OCR-based detection for emails, phone numbers, and credit cards
  • Security Controls: Path validation, rate limiting, audit logging, and configurable policies
  • Cross-platform: Linux (X11/Wayland), macOS, Windows with native APIs
  • Multi-monitor Support: Capture from specific displays in multi-monitor setups
  • Enterprise Security: Window exclusion, audit logging, rate limiting
  • AI-Optimized: Structured responses perfect for AI agent workflows

Installation

NPM Installation

npm install @ai-capabilities-suite/mcp-screenshot

System Requirements

Linux:

  • X11: imagemagick package (provides import command)
  • Wayland: grim package
# Ubuntu/Debian
sudo apt-get install imagemagick grim

# Fedora
sudo dnf install ImageMagick grim

# Arch
sudo pacman -S imagemagick grim

macOS:

  • Built-in screencapture command (no additional dependencies)
  • Screen Recording permission required (System Preferences > Security & Privacy > Privacy > Screen Recording)

Windows:

  • No additional dependencies required

MCP Configuration

Add to your MCP settings file (e.g., ~/.kiro/settings/mcp.json or .kiro/settings/mcp.json):

{
  "mcpServers": {
    "screenshot": {
      "command": "node",
      "args": ["/path/to/mcp-screenshot/dist/cli.js"],
      "env": {
        "SCREENSHOT_ALLOWED_DIRS": "/home/user/screenshots,/tmp",
        "SCREENSHOT_MAX_CAPTURES_PER_MIN": "60",
        "SCREENSHOT_ENABLE_AUDIT_LOG": "true"
      }
    }
  }
}

πŸ› οΈ 5 Professional MCP Tools

Purpose-built for AI agents to capture, analyze, and work with visual information:

The server exposes 5 comprehensive MCP tools that enable AI agents to see and understand your applications:

1. screenshot_capture_full

Capture full screen or specific display.

Parameters:

  • display (string, optional): Display ID to capture (defaults to primary display)
  • format (string, optional): Image format - png, jpeg, webp, or bmp (default: png)
  • quality (number, optional): Compression quality 1-100 for lossy formats (default: 90)
  • savePath (string, optional): File path to save screenshot (returns base64 if not provided)
  • enablePIIMasking (boolean, optional): Enable PII detection and masking (default: false)

Example:

{
  "name": "screenshot_capture_full",
  "arguments": {
    "format": "png",
    "savePath": "/home/user/screenshots/desktop.png",
    "enablePIIMasking": true
  }
}

Response:

{
  "status": "success",
  "filePath": "/home/user/screenshots/desktop.png",
  "metadata": {
    "width": 1920,
    "height": 1080,
    "format": "png",
    "fileSize": 245678,
    "timestamp": "2024-12-01T10:30:00.000Z",
    "display": {
      "id": "0",
      "name": "Primary Display",
      "resolution": { "width": 1920, "height": 1080 },
      "position": { "x": 0, "y": 0 },
      "isPrimary": true
    },
    "piiMasking": {
      "emailsRedacted": 2,
      "phonesRedacted": 1,
      "creditCardsRedacted": 0,
      "customPatternsRedacted": 0
    }
  }
}

2. screenshot_capture_window

Capture specific application window by ID or title pattern.

Parameters:

  • windowId (string, optional): Window identifier (use windowId or windowTitle)
  • windowTitle (string, optional): Window title pattern to match (use windowId or windowTitle)
  • includeFrame (boolean, optional): Include window frame and title bar (default: false)
  • format (string, optional): Image format (default: png)
  • quality (number, optional): Compression quality 1-100 (default: 90)
  • savePath (string, optional): File path to save screenshot

Example:

{
  "name": "screenshot_capture_window",
  "arguments": {
    "windowTitle": "Chrome",
    "includeFrame": false,
    "format": "jpeg",
    "quality": 85
  }
}

Response:

{
  "status": "success",
  "data": "iVBORw0KGgoAAAANSUhEUgAA...",
  "mimeType": "image/jpeg",
  "metadata": {
    "width": 1280,
    "height": 720,
    "format": "jpeg",
    "fileSize": 89234,
    "timestamp": "2024-12-01T10:31:00.000Z",
    "window": {
      "id": "12345",
      "title": "Google Chrome",
      "processName": "chrome",
      "pid": 5678,
      "bounds": { "x": 100, "y": 100, "width": 1280, "height": 720 }
    }
  }
}

3. screenshot_capture_region

Capture specific rectangular region of the screen.

Parameters:

  • x (number, required): X coordinate of top-left corner
  • y (number, required): Y coordinate of top-left corner
  • width (number, required): Width of region in pixels
  • height (number, required): Height of region in pixels
  • format (string, optional): Image format (default: png)
  • quality (number, optional): Compression quality 1-100 (default: 90)
  • savePath (string, optional): File path to save screenshot

Example:

{
  "name": "screenshot_capture_region",
  "arguments": {
    "x": 100,
    "y": 100,
    "width": 800,
    "height": 600,
    "format": "png"
  }
}

Response:

{
  "status": "success",
  "data": "iVBORw0KGgoAAAANSUhEUgAA...",
  "mimeType": "image/png",
  "metadata": {
    "width": 800,
    "height": 600,
    "format": "png",
    "fileSize": 123456,
    "timestamp": "2024-12-01T10:32:00.000Z",
    "region": {
      "x": 100,
      "y": 100,
      "width": 800,
      "height": 600
    }
  }
}

4. screenshot_list_displays

List all connected displays with resolution and position information.

Parameters: None

Example:

{
  "name": "screenshot_list_displays",
  "arguments": {}
}

Response:

{
  "status": "success",
  "displays": [
    {
      "id": "0",
      "name": "Primary Display",
      "resolution": { "width": 1920, "height": 1080 },
      "position": { "x": 0, "y": 0 },
      "isPrimary": true
    },
    {
      "id": "1",
      "name": "Secondary Display",
      "resolution": { "width": 1920, "height": 1080 },
      "position": { "x": 1920, "y": 0 },
      "isPrimary": false
    }
  ]
}

5. screenshot_list_windows

List all visible windows with title, process, and position information.

Parameters: None

Example:

{
  "name": "screenshot_list_windows",
  "arguments": {}
}

Response:

{
  "status": "success",
  "windows": [
    {
      "id": "12345",
      "title": "Google Chrome",
      "processName": "chrome",
      "pid": 5678,
      "bounds": { "x": 100, "y": 100, "width": 1280, "height": 720 },
      "isMinimized": false
    },
    {
      "id": "67890",
      "title": "Terminal",
      "processName": "gnome-terminal",
      "pid": 9012,
      "bounds": { "x": 200, "y": 200, "width": 800, "height": 600 },
      "isMinimized": false
    }
  ]
}

Security Configuration

The server enforces security policies to control screenshot operations. Configure via environment variables or security policy file.

Environment Variables

  • SCREENSHOT_ALLOWED_DIRS: Comma-separated list of allowed directories for saving screenshots
  • SCREENSHOT_MAX_CAPTURES_PER_MIN: Maximum captures per minute (default: 60)
  • SCREENSHOT_ENABLE_AUDIT_LOG: Enable audit logging (default: true)
  • SCREENSHOT_BLOCKED_WINDOWS: Comma-separated list of window title patterns to exclude

Security Policy File

Create a security-policy.json file:

{
  "allowedDirectories": ["/home/user/screenshots", "/tmp/screenshots"],
  "blockedWindowPatterns": [
    ".*Password.*",
    ".*1Password.*",
    ".*LastPass.*",
    ".*Bitwarden.*",
    ".*Authentication.*"
  ],
  "maxCapturesPerMinute": 60,
  "enableAuditLog": true
}

Load the policy when starting the server:

import { MCPScreenshotServer } from "@ai-capabilities-suite/mcp-screenshot";
import * as fs from "fs";

const policy = JSON.parse(fs.readFileSync("security-policy.json", "utf-8"));
const server = new MCPScreenshotServer(policy);
await server.start();

Error Handling

All tools return structured error responses with error codes and remediation suggestions.

Error Codes

CodeDescriptionRemediation
PERMISSION_DENIEDInsufficient permissions to captureGrant Screen Recording permission (macOS) or check user permissions
INVALID_PATHFile path outside allowed directoriesUse a path within configured allowed directories
WINDOW_NOT_FOUNDSpecified window does not existUse screenshot_list_windows to find available windows
DISPLAY_NOT_FOUNDSpecified display does not existUse screenshot_list_displays to find available displays
UNSUPPORTED_FORMATRequested format not supportedUse png, jpeg, webp, or bmp
CAPTURE_FAILEDScreenshot capture failedCheck permissions and try again
RATE_LIMIT_EXCEEDEDToo many captures in time windowWait before making additional requests
INVALID_REGIONInvalid region coordinates or dimensionsEnsure coordinates are non-negative and dimensions are positive
OUT_OF_MEMORYInsufficient memory for operationReduce capture size or close other applications
ENCODING_FAILEDImage encoding failedTry different format or reduce quality
FILE_SYSTEM_ERRORFile system operation failedCheck permissions and disk space

Error Response Format

{
  "status": "error",
  "error": {
    "code": "WINDOW_NOT_FOUND",
    "message": "Window with ID '12345' not found",
    "details": {
      "windowId": "12345"
    },
    "remediation": "Verify the window exists and is visible. Use screenshot_list_windows to see available windows."
  }
}

Troubleshooting

Linux Issues

Problem: import: command not found or grim: command not found

Solution: Install required packages:

# X11
sudo apt-get install imagemagick

# Wayland
sudo apt-get install grim

Problem: Black screen or empty captures

Solution: Check display server environment variables:

echo $DISPLAY  # Should show :0 or similar for X11
echo $WAYLAND_DISPLAY  # Should show wayland-0 or similar for Wayland

macOS Issues

Problem: PERMISSION_DENIED error

Solution: Grant Screen Recording permission:

  1. Open System Preferences > Security & Privacy > Privacy
  2. Select "Screen Recording" from the list
  3. Add your terminal application or Node.js to the allowed list
  4. Restart the application

Problem: Retina display captures are double resolution

Solution: This is expected behavior. Retina displays have 2x pixel density. Use the width and height from metadata to determine actual dimensions.

Windows Issues

Problem: Capture fails with access denied

Solution: Run the application with administrator privileges or check Windows Defender settings.

Problem: Multi-monitor captures show wrong display

Solution: Use screenshot_list_displays to get correct display IDs and positions.

General Issues

Problem: RATE_LIMIT_EXCEEDED error

Solution: The server limits captures to prevent abuse. Wait 60 seconds or adjust maxCapturesPerMinute in security policy.

Problem: INVALID_PATH error when saving

Solution: Ensure the save path is within allowed directories configured in security policy.

Problem: PII masking not working

Solution:

  • Ensure tesseract.js is properly installed
  • Check that eng.traineddata language file is available
  • PII masking requires OCR which may be slow on large images

Problem: Large file sizes

Solution:

  • Use JPEG format with lower quality (60-80) for smaller files
  • Use WebP format for best compression
  • Reduce capture region size if possible

Problem: Out of memory errors

Solution:

  • Capture smaller regions instead of full screen
  • Reduce quality settings
  • Close other applications to free memory
  • Use streaming for very large captures

Programmatic Usage

TypeScript/JavaScript

import { MCPScreenshotServer } from "@ai-capabilities-suite/mcp-screenshot";

// Create server with custom security policy
const server = new MCPScreenshotServer({
  allowedDirectories: ["/home/user/screenshots"],
  maxCapturesPerMinute: 30,
  enableAuditLog: true,
  blockedWindowPatterns: [".*Password.*"],
});

// Start server
await server.start();

// Server will handle MCP protocol requests via stdio
// Keep process running
process.on("SIGINT", async () => {
  await server.stop();
  process.exit(0);
});

Direct Capture Engine Usage

import { createCaptureEngine } from "@ai-capabilities-suite/mcp-screenshot";

// Create platform-specific capture engine
const engine = createCaptureEngine();

// Capture full screen
const fullScreen = await engine.captureScreen();

// List and capture windows
const windows = await engine.getWindows();
const window = windows.find((w) => w.title.includes("Chrome"));
if (window) {
  const buffer = await engine.captureWindow(window.id, false);
}

// Capture region
const region = await engine.captureRegion(100, 100, 800, 600);

// List displays
const displays = await engine.getDisplays();
console.log(`Found ${displays.length} displays`);

Development

This package is part of the AI Capabilities Suite monorepo.

Build

npm run build

Test

# Run all tests
npm test

# Run specific test suites
npm test -- capture
npm test -- security
npm test -- property

# Run with coverage
npm test -- --coverage

Project Structure

packages/mcp-screenshot/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ capture/          # Platform-specific capture engines
β”‚   β”œβ”€β”€ processing/       # Image processing and encoding
β”‚   β”œβ”€β”€ privacy/          # PII detection and masking
β”‚   β”œβ”€β”€ security/         # Security policy enforcement
β”‚   β”œβ”€β”€ storage/          # File operations
β”‚   β”œβ”€β”€ tools/            # MCP tool implementations
β”‚   β”œβ”€β”€ interfaces/       # TypeScript interfaces
β”‚   β”œβ”€β”€ types/            # Type definitions
β”‚   β”œβ”€β”€ errors/           # Error classes
β”‚   β”œβ”€β”€ server.ts         # MCP server implementation
β”‚   └── cli.ts            # CLI entry point
β”œβ”€β”€ README.md
β”œβ”€β”€ TESTING.md
└── package.json

Contributing

Contributions are welcome! Please ensure:

  • All tests pass (npm test)
  • Code follows TypeScript best practices
  • New features include tests and documentation
  • Security considerations are addressed

License

MIT

Support

For issues and questions:

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