Screen Vision MCP Server
Enables Claude to capture screenshots, watch your screen in real-time, read text via OCR, and analyze video files, all running locally as an MCP server.
README
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.
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 Vicuna — github.com/avicuna
Contributing
Issues and PRs welcome: https://github.com/avicuna/screen-vision
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。