Integrate Google search with automated Chrome browsing for data extraction from web pages, perfect for web data scraping
by cmann50Fetch 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
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
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
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
OpenAI o3 Search
Leverage OpenAI o3 Search for advanced web results, outperforming Bing AI and other engines with unrivaled AI search cap
Google Search (Gemini)
Access Google Search via Gemini's native API for reliable info and automatic MLA citations. Ideal for developers and ref
Brave Search
Enhance your AI assistant with Brave Search and an MCP server for powerful web & local business queries—an alternative t
Chinese Trends Hub
Chinese Trends Hub gives you real-time trending topics from major Chinese platforms like Weibo, Zhihu, Douyin, and more,
OpenAI WebSearch
OpenAI WebSearch enables real-time AI search using Bing AI by Microsoft for up-to-date web info and configurable search
Google Search (via Chrome) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Google Search (via Chrome) is the kind of server we cite when onboarding engineers to host + tool permissions.
Google Search (via Chrome) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Google Search (via Chrome) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Strong directory entry: Google Search (via Chrome) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Google Search (via Chrome) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Google Search (via Chrome) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Useful MCP listing: Google Search (via Chrome) is the kind of server we cite when onboarding engineers to host + tool permissions.
Google Search (via Chrome) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We wired Google Search (via Chrome) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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Select a client to integrate this server.
Claude Desktop configuration
{
"mcpServers": {
"mcp-chrome-google-search": {
"command": "npx",
"args": [
"-y",
"@cmann50/mcp-chrome-google-search"
]
}
}
}Performs Google searches and extracts webpage content by automating your Chrome browser. Uses Chrome's interface to avoid search blocking and access authenticated content.
Google Search (via Chrome) is a community-built MCP server published by cmann50 that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Google search with automated Chrome browsing for data extraction from web pages, perfect for web data scraping It is categorized under search web. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
You can install Google Search (via Chrome) 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.
MCP tool for Google search and webpage content extraction using Chrome browser. Works with Claude to enable Google search and content fetching capabilities.
Configure Claude Desktop
{
"mcpServers": {
"mcp-chrome-google-search": {
"command": "npx",
"args": [
"-y",
"@cmann50/mcp-chrome-google-search"
]
}
}
}
First Time Setup
Grant Accessibility Permissions
Enable Chrome JavaScript from Apple Events
Once configured, Claude will be able to perform Google searches and extract webpage content through Chrome when you make requests.
npx mcp-chrome-google-search
npm run build{
"google-tools": {
"command": "node",
"args": [
"/your/checkout/path/mcp/mcp-chrome-google-search/dist/index.js"
]
}
}
To test changes locally bump package.json version and run to put it in edit mode:
npm install -g .
Then just do npm run build and the files will go in dist where claude is monitoring
Then press ctrl-R in claude desktop, no need to restart it
# Follow logs in real-time
tail -n 20 -F ~/Library/Logs/Claude/mcp*.log
echo '{"allowDevTools": true}' > ~/Library/Application\ Support/Claude/developer_settings.json
If you see:
execution error: Google Chrome got an error: Executing JavaScript through AppleScript
is turned off. For more information: https://support.google.com/chrome/?p=applescript (12)
Solution:
If Chrome control fails:
MIT License - see LICENSE file for details
Time estimate: 20-40 minutes including configuration and testing
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ 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.