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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

MCP server for visual monitoring: take screenshots of URLs and detect visual changes against stored baselines.

README.md

eyeballs

Visual monitoring for AI agents and humans. Take screenshots, detect visual changes, track what matters.

Ships as both a CLI tool and an MCP server in one package.

Install

npm install -g eyeballs-cli

This installs Chromium automatically (~400MB on first install).

CLI Usage

# Take a screenshot
eyeballs screenshot https://example.com
eyeballs screenshot https://example.com --viewport 1440x900 -o homepage.png

# Check for visual changes (captures baseline on first run)
eyeballs check https://example.com
eyeballs check https://example.com --threshold 10 --region 0,100,1280,500

# Re-check (diffs against baseline)
eyeballs check https://example.com

# Accept current state as new baseline
eyeballs check https://example.com --reset

# List watched URLs
eyeballs list

# Remove a watch
eyeballs remove <id>

MCP Server

eyeballs works as an MCP server for AI agents (Claude Desktop, Claude Code, Cursor, etc.).

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "eyeballs": {
      "command": "eyeballs-mcp"
    }
  }
}

Claude Code

claude mcp add eyeballs eyeballs-mcp

Tools

| Tool | Description | |------|-------------| | screenshot | Take a screenshot of a URL. Returns the image directly. | | check_url | Check a URL for visual changes against a stored baseline. | | list_watches | List all monitored URLs and their status. | | remove_watch | Remove a watch and its screenshots. |

Example: screenshot

screenshot({ url: "https://example.com", viewport: { width: 1440, height: 900 } })

Returns the screenshot as an image the agent can see, plus metadata (dimensions, load time).

Example: check_url

check_url({ url: "https://example.com", threshold: 5, region: { x: 0, y: 100, width: 1280, height: 500 } })

First call captures a baseline. Subsequent calls diff against it and report the percentage of pixels that changed. Use reset_baseline: true to accept the current state.

Overlay Handling

eyeballs automatically dismisses cookie consent banners, chat widgets, and other overlays before taking screenshots. Three layers:

  1. CSS injection hides common banners (OneTrust, Cookiebot, Intercom, Drift, Zendesk, etc.) before the page loads
  2. autoconsent (via DuckDuckGo's database) clicks through 100+ known consent platforms
  3. Brute-force dismiss finds and clicks remaining "Agree"/"Accept" buttons and removes overlay elements

No configuration needed. Works on most sites out of the box.

How It Works

  • Screenshots via Playwright (headless Chromium)
  • Diffing via pixelmatch (deterministic pixel comparison, no AI needed)
  • Overlay removal via CSS injection + autoconsent + button clicking
  • Storage at ~/.eyeballs/ (baselines + screenshots as PNG files)
  • Threshold default 5%, configurable per watch to reduce noise from dynamic content
  • Region crop to monitor just the part of the page you care about

Requirements

  • Node.js 18+
  • ~400MB disk for Chromium (installed automatically)

License

MIT

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