📸 MCP ACS Screenshot Server

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.

🔗 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.

🤔 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

📚 "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..."

🔍 "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..."

🐛 "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 flow—CTA more prominent, text hierarchy clearer, better use of whitespace..."

📱 "AI, test responsive design"

You: "How does this look on different screen sizes?"
AI: *Captures multiple viewport sizes*
AI: "Layout breaks at 768px—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" → AI guesses the issue
• ❌ "Create documentation" → AI writes generic text
• ❌ "Check accessibility" → AI only reviews code
• ❌ "Test responsive design" → AI can't see actual breakpoints

After: AI sees and analyzes your actual user interface

• ✅ Visual debugging - AI identifies exact pixel-level issues
• ✅ Smart documentation - AI creates guides with real screenshots and annotations
• ✅ Accessibility audits - AI measures actual contrast ratios and spacing
• ✅ Responsive testing - AI captures and compares different screen sizes
• ✅ Design analysis - AI evaluates visual hierarchy and user experience
• ✅ **Professiona

... View full README on GitHub