browser-automation

Browser MCP

djyde

by djyde

Discover Browser MCP on the Chrome Web Store—a powerful Chrome extension for real-time web interaction, markdown, CSS ch

Browser extension that enables real-time interaction with web pages, allowing retrieval of content as markdown, CSS styling modifications, and browser history searches.

github stars

83

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Works with your active browser sessionReal-time page modificationsBrowser extension based

best for

  • / Summarizing and analyzing web content
  • / Applying custom styling to web pages
  • / Research workflows requiring browser history searches

capabilities

  • / Extract current page content as markdown
  • / Modify page CSS styling in real-time
  • / Search browser history
  • / Interact with actively browsed web pages

what it does

Browser extension and MCP server that lets you interact with your current browser tab, extracting content as markdown and modifying page styling. Works with the browser you're actively using rather than launching a separate browser instance.

about

Browser MCP is a community-built MCP server published by djyde that provides AI assistants with tools and capabilities via the Model Context Protocol. Discover Browser MCP on the Chrome Web Store—a powerful Chrome extension for real-time web interaction, markdown, CSS ch It is categorized under browser automation.

how to install

You can install Browser MCP in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Browser MCP is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

browser-mcp

A browser extension and MCP server that allows you to interact with the browser you are using.

mcp

jkXeswNy@2x

Usage

{
  "mcpServers": {
    "playwright": {
      "command": "npx",
      "args": [
        "@djyde/mcp-browser@latest"
      ]
    }
  }
}

Tools

All available tools are listed in server/src/tools.ts.

get_current_page_markdown

Get the markdown from current browser browsing page.

example:

Summarize the current page.

append_style

Append a css style to the current browser browsing page.

example:

Change the current page to dark mode.

history_search

Search the browser history.

example:

Search the browser history for "github".

Roadmap

  • Publish the extension to extension store.
  • Write documentation.
  • Add more tools.

Build

pnpm i

Extension

cd extension

# chrome
npm run build

# edge
npm run build:edge

# firefox
npm run build:firefox

After building, the extension will be in the extension/.output directory.

Server

cd server

# dev
npm run dev

# build
npm run build

server/dist/cli.js is the MCP server entry.

Contributing

Add a new tool

  1. Add the tool schema to the tools array in server/src/tools.ts.
  2. Add a extension callable handler in extension/calls.ts.
  3. Add a tool handler in server/src/tools.ts. Use the call function to call the extension handler.

License

AGPL-3.0-or-later

FAQ

What is the Browser MCP MCP server?
Browser MCP is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Browser MCP?
This profile displays 65 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Web Research & Information Gathering

Fetch and extract information from websites automatically

Example

Research competitor pricing, scrape product reviews, monitor news mentions

Automate 5-10 hours/week of manual web research

Content Monitoring & Alerts

Track website changes, new content, price updates

Example

Monitor competitor blog for new posts, track stock availability, watch for pricing changes

Stay informed without manual checking, never miss important updates

Data Extraction & Aggregation

Extract structured data from multiple websites

Example

Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data

Build datasets 100x faster than manual copying

API-less Integration

Interact with services that don't offer APIs

Example

Check form submissions, validate website functionality, test user flows

Automate interactions with any website, even without API

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • Understanding of web scraping ethics and robots.txt
  • Rate limiting awareness to avoid overwhelming target sites
  • Knowledge of legal restrictions on data collection

Time Estimate

20-40 minutes including configuration and testing

Installation Steps

  1. 1.Install web automation MCP server via npm or pip
  2. 2.Configure allowed domains and rate limits in MCP config
  3. 3.Test with simple fetch: 'Get content from example.com'
  4. 4.Progress to extraction: 'Extract all product prices from this page'
  5. 5.Set up monitoring: 'Check this URL daily for changes'
  6. 6.Parse structured data: 'Create CSV from this table'
  7. 7.Respect robots.txt and rate limits always

Troubleshooting

  • 403 Forbidden: Website blocks bots—respect their wishes, use official API instead
  • Rate limit errors: Slow down requests, add delays between fetches
  • Stale data: Target site changed HTML structure—update selectors
  • Timeout errors: Site is slow or blocking—increase timeout, try different user agent
  • JavaScript-rendered content: Use headless browser MCP servers for dynamic sites

Best Practices

✓ Do

  • +Check robots.txt and respect crawl rules
  • +Rate limit requests: 1-2 requests/second maximum
  • +Use official APIs when available instead of scraping
  • +Identify your bot with descriptive user agent
  • +Cache results to minimize repeated requests
  • +Handle errors gracefully with retries and fallbacks
  • +Validate extracted data for accuracy

✗ Don't

  • Don't scrape sites that explicitly forbid it (robots.txt, ToS)
  • Don't overwhelm servers with rapid requests—use rate limiting
  • Don't scrape personal data without consent and legal basis
  • Don't ignore copyright on extracted content
  • Don't assume HTML structure is stable—handle changes
  • Don't use scraped data for commercial purposes without permission

💡 Pro Tips

  • Use CSS selectors or XPath for robust data extraction
  • Set up monitoring alerts for extraction failures (structure changed)
  • Implement exponential backoff for retries on failures
  • Store raw HTML for reprocessing if extraction logic changes
  • Combine with data analysis tools for insights from extracted data
  • Consider using official APIs or RSS feeds as more stable alternatives

Technical Details

Architecture

MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.

Protocols

  • HTTP/HTTPS
  • WebSocket (for real-time sites)
  • Puppeteer/Playwright (for JavaScript sites)

Compatibility

  • Static HTML sites
  • JavaScript-rendered SPAs (with headless browser)
  • REST APIs
  • GraphQL endpoints

When to Use This

✓ Use When

Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.

✗ Avoid When

Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.

Integration

  • Scheduled monitoring with change detection
  • Multi-source data aggregation pipelines
  • Fallback to web scraping when API rate limits hit
  • Headless browser for JavaScript-heavy sites

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.665 reviews
  • Chaitanya Patil· Dec 28, 2024

    Browser MCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Charlotte Garcia· Dec 28, 2024

    We wired Browser MCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Daniel Srinivasan· Dec 24, 2024

    Browser MCP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Henry Perez· Dec 24, 2024

    We evaluated Browser MCP against two servers with overlapping tools; this profile had the clearer scope statement.

  • Zara Rahman· Dec 20, 2024

    Useful MCP listing: Browser MCP is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Min Robinson· Dec 16, 2024

    We evaluated Browser MCP against two servers with overlapping tools; this profile had the clearer scope statement.

  • Piyush G· Nov 19, 2024

    We evaluated Browser MCP against two servers with overlapping tools; this profile had the clearer scope statement.

  • Soo Gill· Nov 15, 2024

    Useful MCP listing: Browser MCP is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Olivia Robinson· Nov 15, 2024

    Browser MCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Min Huang· Nov 11, 2024

    Browser MCP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

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