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Provide agents with pixel-accurate visual inspection, OCR, and UI regression testing.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "EagleEye MCP" yet — see the docs or source repo.
Capture the current screen and measure the exact pixel distance between the login button and the right margin.
A screen capture plus exact pixel-level measurement data for the button spacing.
Run OCR on the current page, extract all visible text, and output it in top-to-bottom order.
Structured OCR results containing the visible text from the page.
Compare the current page screenshot with a baseline image and mark the regions with visual differences.
A report of differing regions to identify unintended UI changes.
Developers or testers can have an agent capture screens, measure pixels, and run visual regression to catch layout shifts or styling issues.
Designers can use it to inspect spacing, positions, and visible text to verify whether implementation matches design expectations.
When an agent needs to reason from screen content, it can use screenshots, OCR, and template matching to obtain reliable visual signals.
It is a visual toolbox MCP server for agents that supports screen capture, pixel measurement, OCR, template matching, and visual regression.
Based on the description, it is especially suited to UI inspection, visual testing, and automation tasks that depend on screen content. It emphasizes pixel accuracy and a deterministic-first approach.
The provided information does not include installation steps or prerequisites. For runtime, dependencies, and configuration details, see the source repository.
Run visual regression tests and review structured failure reports through MCP clients.
Visually test, debug, and analyze web interfaces with automated Playwright workflows.
Capture website screenshots and detect visual changes against saved baselines.
Turn screenshots and images into code, text, and diagnostic insights.
Let AI see and control a Linux desktop for visual task automation.
Let AI agents discover macOS windows and capture screenshots for UI debugging.