Supports capturing DOM element metadata and textual context directly from the Arc browser through a dedicated extension.
Enables the extraction of HTML attributes, CSS styles, and positioning data from web elements within the Brave browser.
Provides comprehensive styling context by extracting CSS classes, attributes, and computed styles from selected DOM elements with adjustable levels of detail.
Detects React components and extracts Fiber-specific metadata, including component names and source file paths, to provide framework-level context to AI agents.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Pointeranalyze the element I just selected"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
👆 MCP Pointer
Point to browser DOM elements for agentic coding tools via MCP!
MCP Pointer is a local tool combining an MCP Server with a Chrome Extension:
🖥️ MCP Server (Node.js package) - Bridges between the browser and AI tools via the Model Context Protocol
🌐 Chrome Extension - Captures DOM element selections in the browser using
Option+Click
The extension lets you visually select DOM elements in the browser, and the MCP server makes this textual context available to agentic coding tools like Claude Code, Cursor, and Windsurf through standardized MCP tools.
✨ Features
🎯
Option+Click- Simply holdOption(Alt on Windows) and click any element📋 Complete Element Data - Text content, CSS classes, HTML attributes, positioning, and styling
💡 Dynamic Context Control - Request visible-only text, suppress text entirely, or dial CSS detail from none → full computed styles per MCP call
⚛️ React Component Detection - Component names and source files via Fiber (experimental)
🔗 WebSocket Connection - Real-time communication between browser and AI tools
🤖 MCP Compatible - Works with Claude Code and other MCP-enabled AI tools
🎬 Usage example (video)
https://github.com/user-attachments/assets/98c4adf6-1f05-4c9b-be41-0416ab784e2c
See MCP Pointer in action: Option+Click any element in your browser, then ask your agentic coding tool about it (in this example, Claude Code). The AI gets complete textual context about the selected DOM element including CSS properties, url, selector, and more.
🚀 Getting Started
1. Install Chrome Extension
🎉 Now available on Chrome Web Store!
Simply click the link above to install from the Chrome Web Store.
Option A: Download from Releases
Go to GitHub Releases
Download
mcp-pointer-chrome-extension.zipfrom the latest releaseExtract the zip file to a folder on your computer
Open Chrome → Settings → Extensions → Developer mode (toggle ON)
Click "Load unpacked" and select the extracted folder
The MCP Pointer extension should appear in your extensions list
Reload web pages to activate the extension
Option B: Build from Source
Clone this repository
Follow the build instructions in CONTRIBUTING.md
Open Chrome → Settings → Extensions → Developer mode (toggle ON)
Click "Load unpacked" and select the
packages/chrome-extension/dist/folderReload web pages to activate the extension
2. Configure MCP Server
One command setup for your AI tool:
Optional: You can install globally with
npm install -g @mcp-pointer/serverto usemcp-pointerinstead ofnpx -y @mcp-pointer/server
After configuration, restart your coding tool to load the MCP connection.
🔄 Already using MCP Pointer? Run the config command again to update to auto-updating configuration:
npx -y @mcp-pointer/server config <your-tool> # Reconfigures to always use latest version
3. Start Using
Navigate to any webpage
Option+Clickany element to select itAsk your AI to analyze the targeted element!
Your AI tool will automatically start the MCP server when needed using the npx -y @mcp-pointer/server@latest start command.
Available MCP Tool:
get-pointed-element– Returns textual information about the currently pointed DOM element. Optional arguments:textDetail:0 | 1 | 2(default2) controls how much text to include (0 = none,1 = visible text only,2 = visible + hidden).cssLevel:0 | 1 | 2 | 3(default1) controls styling detail, from no CSS (0) up to full computed styles (3).
🎯 How It Works
Element Selection: Content script captures
Option+ClickeventsData Extraction: Analyzes element structure, CSS, and framework info
WebSocket Transport: Sends data to MCP server on port 7007
MCP Protocol: Makes data available to AI tools via MCP tools
AI Analysis: Your assistant can now see and analyze the element!
🎨 Element Data Extracted
Basic Info: Tag name, ID, classes, text content
CSS Properties: Display, position, colors, dimensions
Component Info: React component names and source files (experimental)
Attributes: All HTML attributes
Position: Exact coordinates and dimensions
Source Hints: File paths and component origins
🔍 Framework Support
⚛️ React - Component names and source files via Fiber (experimental)
📦 Generic HTML/CSS/JS - Full support for any web content
🔮 Planned - Vue component detection (PRs appreciated)
🌐 Browser Support
✅ Chrome - Full support (tested)
🟡 Chromium-based browsers - Should work (Edge, Brave, Arc - load built extension manually)
🐛 Troubleshooting
Extension Not Connecting
Make sure MCP server is running:
npx -y @mcp-pointer/server@latest startCheck browser console for WebSocket errors
Verify port 7007 is not blocked by firewall
MCP Tools Not Available
Restart your AI assistant after installing
Check MCP configuration:
mcp-pointer config <your-tool>Verify server is running:
npx -y @mcp-pointer/server@latest start
Elements Not Highlighting
Some pages block content scripts (chrome://, etc.)
Try refreshing the page
Check if targeting is enabled (click extension icon)
🚀 Roadmap
1. Dynamic Context Control
Full raw context transferred to server
LLM-configurable detail levels (visible text only, all text, CSS levels)
Progressive refinement options / token-conscious data fetching
2. Visual Content Support (for multimodal LLMs)
Base64 encoding for images (img tags)
Screenshot capture of selected elements
Separate MCP tool for direct visual content retrieval
3. Enhanced Framework Support
Vue.js component detection
Better React support (React 19 removed
_debugSource, affecting source mapping in dev builds)
4. Multi Select
Having the ability to select multiple DOM elements
https://github.com/etsd-tech/mcp-pointer/pull/9
📝 License
MIT License - see LICENSE file for details
🤝 Contributing
We welcome contributions! Please see our CONTRIBUTING.md guide for development setup and guidelines.
Inspired by tools like
Made with ❤️ for AI-powered web development
Now your AI can analyze any element you point at with