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Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 2:03:17 PM

MCP Screenshot

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for mcp-screenshot, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

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"

Code
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"

Code
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"

Code
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"

Code
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"

Code
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

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

System Requirements

Linux:

  • X11: imagemagick package (provides import command)
  • Wayland: grim package
bash
# 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):

config.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:

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

Response:

config.json
{
  "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:

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

Response:

config.json
{
  "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:

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

Response:

config.json
{
  "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:

config.json
{
  "name": "screenshot_list_displays",
  "arguments": {}
}

Response:

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
2
Stargazers on the source repository.
Last commit
5mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about MCP Screenshot

We don't have a confirmed install command for mcp-screenshot yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/Digital-Defiance/mcp-screenshot) for the current steps.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
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Last updatedMar 29, 2026
Views1
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Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
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Last commit5mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Mar 29, 2026
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity2/15
Community engagement0/10

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