Description
Web-to-MCP lets you capture any real UI component from a live website and pull its exact details into your AI coding assistant. Click the Chrome extension, select an element, and you’ll get a reference ID. Paste that ID in Cursor or Claude, and your MCP server returns the component’s HTML, CSS, typography, colors, spacing, and layout context. What this really means is you stop guessing from screenshots and start from the source of truth.
How it works
Open the extension and pick any element on a page.
Receive a reference ID for that capture.
In your IDE chat, call the MCP tool with the ID to fetch the spec and code.
What you get
Exact DOM structure plus consolidated CSS.
Computed styles for sizing, spacing, fonts, and colors.
Small preview image for quick visual check.
Clean output you can use in React, Vue, Angular, or plain HTML/CSS.
Why it’s useful
Designers grab examples fast. Developers get accurate code. The handoff shrinks from trial-and-error to minutes, so teams ship UI that matches what they saw on the web.
How it works
Open the extension and pick any element on a page.
Receive a reference ID for that capture.
In your IDE chat, call the MCP tool with the ID to fetch the spec and code.
What you get
Exact DOM structure plus consolidated CSS.
Computed styles for sizing, spacing, fonts, and colors.
Small preview image for quick visual check.
Clean output you can use in React, Vue, Angular, or plain HTML/CSS.
Why it’s useful
Designers grab examples fast. Developers get accurate code. The handoff shrinks from trial-and-error to minutes, so teams ship UI that matches what they saw on the web.
Video Demo
Tool Information
Created by
Gaurav Singh Bisen
Similar Tools in MCP Servers
View All
mcp-zenml
A MLOps framework for machine learning pipelines that run anywhere - AWS Sagemaker, GCP Vertex AI, Kubeflow Pipelines with MLflow and more!
MCP Servers
mcp-swagger-server
A Model Context Protocol (MCP) server for Swagger/OpenAPI documentation that transforms OpenAPI specifications into MCP format, enabling AI assistants to interact with REST APIs through standardized protocol. - zaizaizhao/mcp-swagger-server
MCP Servers
mcp-typescribe
An MCP server implementation enabling LLMs to work with new APIs and frameworks - yWorks/mcp-typescribe
MCP Servers
