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frontend-review-mcp

MCP.Pizza Chef: ZukAi-MCP

frontend-review-mcp is an MCP server designed to perform visual reviews of UI edit requests by comparing screenshots taken before and after changes. It integrates with agents to automatically analyze design edits, helping developers ensure UI consistency and correctness. Installation is straightforward via package managers like npx, and it supports integration with tools like Cursor and Windsurf for seamless workflow embedding.

Use This MCP server To

Automatically compare UI screenshots before and after edits Detect visual regressions in frontend design changes Integrate visual review into automated agent workflows Validate UI updates in continuous integration pipelines Provide visual feedback on design modifications Assist in frontend quality assurance with screenshot analysis

README

frontend-review-mcp

An MCP server that performs a visual review of a UI edit request. Ask your agent to screenshot the page before and after the edit, and then call this tool to review the edit.

Usage

Cursor

  • To install in a project, add the MCP server to your .cursor/mcp.json:
{
	"mcpServers": {
		"frontend-review": {
			"command": "npx",
			"args": ["frontend-review-mcp HYPERBOLIC_API_KEY=<YOUR_API_KEY>"],

		}
	}
}
  • To install globally, add this command to your Cursor settings:
npx frontend-review-mcp HYPERBOLIC_API_KEY=<your-hyperbolic-api-key>

Windsurf

  • Add the MCP server to your ~/.codeium/windsurf/mcp_config.json file:
{
	"mcpServers": {
		"frontend-review": {
			"command": "npx",
			"args": ["frontend-review-mcp HYPERBOLIC_API_KEY=<YOUR_API_KEY>"]
		}
	}
}

Tools

Currently, the only tool is reviewEdit.

Your Agent will call this tool with the following arguments:

  • beforeScreenshotPath: The absolute path to the screenshot of the page before the edit.
  • afterScreenshotPath: The absolute path to the screenshot of the page after the edit.
  • editRequest: A detailed description of the UI edit request made by the user.

The tool will return a response with either a yes or no response, indicating whether the edit visually satisfies the edit request. If no, it will provide a detailed explanation of why the edit does not satisfy the request so you can continue to work on it.

Review Model

Currently, the review model is Qwen/Qwen2-VL-72B-Instruct from Hyperbolic. It will automatically retry the request with these models if it fails:

Fallback order:

  1. Qwen/Qwen2-VL-72B-Instruct
  2. Qwen/Qwen2-VL-7B-Instruct
  3. meta-llama/Llama-3.2-90B-Vision-Instruct
  4. mistralai/Pixtral-12B-2409

If you want to use a different model as the first model, you can add the MODEL arg to the command:

npx frontend-review-mcp HYPERBOLIC_API_KEY=<your-hyperbolic-api-key> MODEL=<your-model>

It will try the specified model first, and then try the others if it fails.

Taking Screenshots

You can use any MCP server to take screenshots.

AI Instructions

You can include the following instructions in your AI's prompt to make it take screenshots and review the edit:

When making frontend edits:

- Before making any changes, call the mcp_takeScreenshot function to save the current state of the page.
- After making your change, call the mcp_takeScreenshot function again to save the new state of the page.
- Screenshots will be saved to /screenshots folder.
- Run this command to get the absolute paths of the 2 most recent screenshots in the /screenshots folder:



find screenshots -type f -name "*.png" -exec stat -f "%m %N" {} \; | sort -nr | head -n 2 | awk '{print $2}' | xargs realpath | awk 'NR==1 {print "before path: ", $0} NR==2 {print "after path: ", $0}'


- Call the mcp_reviewEdit function to have your changes visually reviewed.
- Use the following format for the tool call:

{
  "beforeScreenshotPath": string, // Absolute path to the second-most recent screenshot
  "afterScreenshotPath": string, // Absolute path to the most recent screenshot
  "editRequest": string // Describe the edit request from the user in a couple of sentences
}

- You should summarize my edit request into a couple of sentences so that the frontend reviewer understands the changes you made.

- The tool will either return "yes" if your changes are good, or "no" with a brief explanation if the changes don't satisfy the edit request. Keep editing with the same process until the reviewer returns "yes".

frontend-review-mcp FAQ

How do I install frontend-review-mcp in my project?
Add the MCP server to your .cursor/mcp.json or ~/.codeium/windsurf/mcp_config.json with the appropriate npx command and your Hyperbolic API key.
What inputs does the reviewEdit tool require?
It requires absolute paths to screenshots taken before and after the UI edit to perform the visual comparison.
Can frontend-review-mcp be used globally?
Yes, you can install it globally using npx with your Hyperbolic API key for system-wide access.
What kind of visual changes can it detect?
It detects UI design edits by comparing screenshots, helping identify regressions or unintended changes.
Is frontend-review-mcp compatible with popular MCP hosts?
Yes, it integrates with MCP hosts like Cursor and Windsurf for streamlined usage.
Does it require any special API keys?
Yes, it requires a Hyperbolic API key to operate, which you provide during installation.
How does frontend-review-mcp improve frontend development workflows?
By automating visual review of UI changes, it reduces manual checking and speeds up quality assurance.
Can it be integrated into CI/CD pipelines?
Yes, it can be incorporated into automated pipelines to catch visual regressions before deployment.