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avicuna

Screen Vision MCP Server

by avicuna

Screen Vision MCP Server

Give Claude Code the ability to see your screen

Screen Vision lets Claude capture screenshots, watch your screen in real-time with audio transcription, analyze video files, and read text via OCR. It runs locally as an MCP server — Claude sees what you see, when you ask.

Privacy & Security

All capture is local and on-demand — no background recording, no persistent process, no external transmission.

  • Screen Vision runs as a local MCP server (stdio transport). It only captures when Claude explicitly calls a tool in response to your request.

  • Captured images and transcriptions are sent only to your existing Claude Code session — the same endpoint all Claude Code traffic uses. No third-party services, no cloud storage.

  • The server does not run in the background between Claude Code sessions. It starts when Claude Code starts and stops when it stops.

  • No data is written to disk unless you explicitly ask Claude to save a file.

Related MCP server: device-controller-mcp

Quick Start

pip install screen-vision[ocr]

Then add to your Claude Code MCP config (.mcp.json):

{
  "mcpServers": {
    "screen-vision": {
      "command": "screen-vision-mcp"
    }
  }
}

System deps for OCR and video:

brew install tesseract   # Required for OCR (read_screen_text)
brew install ffmpeg      # Required for video analysis (analyze_video)

What You Can Say

"Take a screenshot of my screen"          → capture_screen
"Capture the Chrome window"               → capture_window
"Watch my screen for 1 minute"            → watch_screen (with audio transcription)
"Analyze the video at ~/Downloads/demo.mp4" → analyze_video
"Read the text on my screen"              → read_screen_text
"What window am I in?"                    → get_active_context (no screenshot)
"What's on my screen right now?"          → understand_screen (AI analysis)
"Analyze this photo I AirDropped"         → analyze_image

Tools (14)

Tool

What it does

Needs

capture_screen

Full screen capture with delay + multi-monitor

capture_region

Capture a specific rectangular area

capture_window

Capture a window by title

list_monitors

List displays with resolutions

get_active_context

Window/cursor/monitor info (no image)

read_screen_text

OCR text extraction from screen

tesseract

understand_screen

AI-powered screen analysis

Anthropic API key

analyze_image

Analyze a dropped/AirDropped image file

watch_screen

Watch screen with frame sampling + audio

ffmpeg (audio)

analyze_video

Extract keyframes from video files

ffmpeg

capture_camera

Grab latest frame from phone camera

watch_camera

Stream phone camera with scene detection + audio

show_pairing_qr

Show QR code to connect phone camera

phone_status

Check phone camera connection status

Security

Screen Vision includes security controls for corporate environments:

  • PII/PCI scanning — Detects credit card numbers, SSNs, phone numbers, email addresses in OCR text

  • App deny-list — Blocks captures of Slack, Teams, Zoom, banking apps, password managers

  • Call detection — Blocks captures during active audio calls

  • Rate limits — 200 captures/session, 2s minimum interval, 5min max watch duration

  • Audit logs — All captures logged to ~/.screen-vision/audit.log

Set SCREEN_VISION_MODE=work to enable all security controls. Default mode is personal (no restrictions).

Dependencies

Core (always installed): mcp[cli], mss, Pillow, numpy, httpx

Extras (mix and match):

Extra

Install

What you get

[ocr]

pip install screen-vision[ocr]

pytesseract — OCR via tesseract (~5MB, needs brew install tesseract)

[paddle]

pip install screen-vision[paddle]

paddleocr + opencv-python-headless — higher-accuracy OCR (~1GB, self-contained)

[audio]

pip install screen-vision[audio]

faster-whisper + sounddevice — audio transcription for watch_screen

[full]

pip install screen-vision[full]

All of the above

Python 3.11+ required.

Development

pip install -e ".[ocr,test]"
pytest tests/ -v
ruff check src/

Author

Alex Vicunagithub.com/avicuna

Contributing

Issues and PRs welcome: https://github.com/avicuna/screen-vision

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Maintenance

Maintainers
Response time
0dRelease cycle
3Releases (12mo)
Commit activity

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