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Frontend Review

Createdzueai

Visually reviews UI edit requests by comparing before and after screenshots.

NPM Package Github Repo

About

Frontend Review is an MCP server designed to visually assess UI edit requests. It takes 'before' and 'after' screenshots of a webpage and compares them against a user's edit request description, then provides a 'yes' or 'no' response indicating whether the edit satisfies the request. If the edit fails to meet requirements, the tool offers a detailed explanation to guide further refinement. It supports integration with AI agents like Cursor and Windsurf, and it uses a series of Large Vision Models from Hyperbolic to perform the visual review, with automatic fallback to alternative models if the primary one fails.

Key Features

  • Leverages multiple Large Vision Models for robust review processing.
  • Supports configuration with various Large Vision Models
  • Performs visual reviews of UI edits using screenshots.
  • Provides detailed feedback on why edits may not satisfy requests.
  • Integrates with AI agents via MCP.

Use Cases

  • Automated visual validation of frontend changes.
  • Ensuring UI edits accurately reflect user requests.
  • Integrating visual review into AI-driven development workflows.