Web to MCP
Web to MCP is a browser extension that enables seamless transfer of website components directly to AI coding assistants like Cursor and Claude Code, eliminating the need for screenshots or manual descriptions.
https://web-to-mcp.com/?ref=producthunt
Product Information
Updated:Sep 9, 2025
What is Web to MCP
Web to MCP is an innovative tool that bridges the gap between web design and code implementation by providing a direct channel to send pixel-perfect website components to AI coding assistants. It functions as a Chrome extension that integrates with the Model Context Protocol (MCP), allowing developers to capture and transfer any web element with its complete styling context to their development environment. This tool addresses the common frustration of trying to explain or recreate UI components to AI assistants through screenshots or verbal descriptions.
Key Features of Web to MCP
Web to MCP is a tool that bridges the gap between web design and code implementation by allowing developers to capture and send website components directly to AI coding assistants like Cursor and Claude Code. It eliminates the need for screenshots or verbal descriptions by providing a secure MCP channel that transmits the complete component data, including styling and context, enabling AI assistants to generate more accurate code implementations.
Live Component Capture: Allows users to select and capture any web element with its full styling context and properties directly from any website
Direct MCP Integration: Seamlessly connects with AI coding assistants through Model Context Protocol, enabling direct component handoffs without intermediate steps
Framework-Agnostic Support: Works with any technology stack including React, Vue, Angular, or vanilla HTML/CSS, making it versatile for different development environments
Secure Component Transfer: Provides a secure channel for transmitting component data with user authentication and unique MCP URLs
Use Cases of Web to MCP
UI Development Acceleration: Developers can quickly replicate existing UI components by capturing them directly from reference websites and having AI generate matching code
Design System Implementation: Teams can efficiently translate design system components into code by capturing existing implementations and using AI to generate consistent code
Rapid Prototyping: Designers and developers can quickly prototype new features by capturing inspiration from existing websites and generating implementation code
Pros
Significantly reduces time spent explaining components to AI assistants
Provides higher accuracy in code generation through exact component data
Simple setup process with Chrome extension and MCP integration
Cons
Limited to Chrome browser only
Requires paid subscription for unlimited component captures
Depends on external AI coding assistants like Cursor or Claude Code
How to Use Web to MCP
Install Chrome Extension: Go to Chrome Web Store and install the Web to MCP browser extension by clicking 'Add to Chrome'
Sign in with Google Account: Authenticate using your Google account to get your unique MCP URL
Configure MCP in Cursor IDE: Open Cursor settings with Ctrl+Shift+J (Cmd+Shift+J on Mac) and navigate to Features → Model Context Protocol
Create MCP Configuration File: Create .cursor/mcp.json in your project root and add your unique MCP URL in the configuration
Navigate to Website: Go to any website from which you want to capture components
Activate Component Selection: Click the Web to MCP extension icon in your browser to activate component selection mode
Select Component: Click on any UI element you want to capture and copy its reference ID
Use in Cursor: Reference the captured component inside Cursor chat using the reference ID to generate matching code
Web to MCP FAQs
Web to MCP is a tool that allows you to send website components directly to AI coding assistants like Cursor or Claude Code through Model Context Protocol (MCP), eliminating the need for screenshots or descriptions.
Web to MCP Video
Popular Articles
Google Gemini AI Photo Editing Prompts 2025: Top 5 Trending AI Image Generation Prompts You Need to Try
Sep 22, 2025
How to Fix Gemini Nano Banana Aspect Ratio Problems When Creating Images in 2025
Sep 17, 2025
Google Gemini Nano Banana AI Saree Trend 2025: Create Your Own Gemini AI Saree Portrait on Instagram
Sep 16, 2025
Pixverse Promo Codes Free in September 2025 and How to Redeem
Sep 10, 2025
Latest AI Tools Similar to Web to MCP
Gait
Gait is a collaboration tool that integrates AI-assisted code generation with version control, enabling teams to track, understand, and share AI-generated code context efficiently.
invoices.dev
invoices.dev is an automated invoicing platform that generates invoices directly from developers' Git commits, with integration capabilities for GitHub, Slack, Linear, and Google services.
EasyRFP
EasyRFP is an AI-powered edge computing toolkit that streamlines RFP (Request for Proposal) responses and enables real-time field phenotyping through deep learning technology.
Cart.ai
Cart.ai is an AI-powered service platform that provides comprehensive business automation solutions including coding, customer relations management, video editing, e-commerce setup, and custom AI development with 24/7 support.
Popular AI Tools Like Web to MCP
GitHub Copilot Chat
GitHub Copilot Chat is an AI-powered coding assistant that provides natural language interactions, real-time code suggestions, and contextual support directly within supported IDEs and GitHub.com.
CopilotForXcode
CopilotForXcode is an Xcode Source Editor Extension that integrates GitHub Copilot, Codeium, and ChatGPT to provide AI-powered code suggestions, chat assistance, and prompt-to-code functionality within Xcode.
BrowserAI
BrowserAI is an open-source library that enables running local Large Language Models (LLMs) directly in web browsers with WebGPU acceleration, offering privacy-focused AI capabilities without requiring server infrastructure.
OpenAI Codex CLI
OpenAI Codex CLI is a lightweight, open-source coding agent that runs in your terminal, enabling developers to translate natural language into code execution while providing ChatGPT-level reasoning with the ability to run code, manipulate files, and iterate under version control.