This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
MCP server that gives AI coding agents live computer vision. Capture your screen, read text via OCR, watch for visual changes, and get AI-powered scene descriptions — all as tools your agent can call.
The counterpart to earshot. Earshot gave agents ears; eyes gives them sight.
capture_screen — Screenshot the full screen or a specific region
capture_camera — Grab a frame from your webcam
watch_screen — Wait for visual changes (motion-triggered capture)
read_text — Extract text from the screen via OCR
describe_scene — Send a screenshot to Claude for semantic understanding
Related MCP server: Vision MCP Server
# Install
pip install -e .
# Or with all optional dependencies
pip install -e ".[all]"Add to your MCP config (~/.claude/settings.json):
{
"mcpServers": {
"eyes": {
"command": "python",
"args": ["-m", "eyes.server"]
}
}
}# Run the MCP server
eyes
# Or
python -m eyes.serverTake a screenshot of the current screen.
Parameter | Type | Default | Description |
x | int | — | Left edge of capture region |
y | int | — | Top edge of capture region |
width | int | — | Width of capture region |
height | int | — | Height of capture region |
max_dimension | int | 1920 | Max width/height in pixels |
Capture a frame from the webcam. Requires opencv-python.
Parameter | Type | Default | Description |
device_index | int | 0 | Camera device index |
Monitor the screen and return a capture only when significant change is detected.
Parameter | Type | Default | Description |
threshold | float | 0.05 | Change sensitivity (0.0–1.0) |
timeout | int | 30 | Max seconds to wait |
interval | float | 1.0 | Seconds between checks |
Extract text from the screen using OCR. Requires pytesseract and Tesseract installed on your system.
Parameter | Type | Default | Description |
x | int | — | Left edge of region |
y | int | — | Top edge of region |
width | int | — | Width of region |
height | int | — | Height of region |
Take a screenshot and send it to Claude (via AWS Bedrock) for a detailed description.
Parameter | Type | Default | Description |
prompt | string | "Describe what you see" | Custom vision prompt |
x | int | — | Left edge of region |
y | int | — | Top edge of region |
width | int | — | Width of region |
height | int | — | Height of region |
Environment Variable | Default | Description |
|
| Bedrock model for |
|
| AWS region for Bedrock |
| — | AWS credentials profile |
macOS or Linux (screen capture uses native tools)
Python 3.10+
For camera: pip install eyes-mcp[camera]
For OCR: pip install eyes-mcp[ocr] + Tesseract
For describe_scene: AWS credentials with Bedrock access
MIT
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Generate images, GIFs, videos, and PDFs from HTML, URLs, or templates — from your AI agent.
Control a real browser from AI agents: navigate, click, type, screenshot, read the page.
Give agents eyes on any web page: structured context, and changes explained in plain language.
Hosted browser for agents: open pages, search the web, extract data, read PDFs and take screenshots.
