Frontend Review
An MCP server that reviews UI edit requests by comparing before and after screenshots, providing visual feedback on whether changes satisfy the user's requirements.
What is Frontend Review?
Frontend Review is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server that reviews ui edit requests by comparing before and after screenshots, providing visual feedback on whether changes satisfy the user's requirements.
An MCP server that reviews UI edit requests by comparing before and after screenshots, providing visual feedback on whether changes satisfy the user's requirements.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- An MCP server that reviews UI edit requests by comparing bef
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx frontend-review-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Frontend Review
What is Frontend Review?
Frontend Review is a Model Context Protocol (MCP) server that mcp server that reviews ui edit requests by comparing before and after screenshots, providing visual feedback on whether changes satisfy the user's requirements. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Frontend Review?
Follow the installation instructions on the Frontend Review GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Frontend Review?
Frontend Review works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Frontend Review free to use?
Yes, Frontend Review is open source and available under the GPL 2.0 license. You can use it freely in both personal and commercial projects.
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Set Up Frontend Review in Your Editor
Choose your AI client for step-by-step setup instructions.
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Add this to your claude_desktop_config.json or .cursor/mcp.json
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