An MCP (Model Context Protocol) server based on Cloudflare Workers, providing Google search and webpage content extraction functionality with
Google Search Engine MCP becomes available to MCP clients through the google search engine mcp mcp server. An MCP (Model Context Protocol) server based on Cloudflare Workers, providing Google search and webpage content extraction functionality with integrated OAuth login.
An MCP (Model Context Protocol) server based on Cloudflare Workers, providing Google search and webpage content extraction functionality with integrated OAuth login.
The server is distributed via npm as @modelcontextprotocol/inspector, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Before the server will start you need to supply 2 environment variables: GOOGLE_API_KEY, GOOGLE_SEARCH_ENGINE_ID. Keep credentials in your client's env block or a secrets manager rather than committing them.
Search and scraping servers exist to fix the single most common failure of any assistant: answering from stale training data instead of what is on the web today. Google Search Engine MCP sits in that group. Worth comparing against the other search web scraping servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
{
"mcpServers": {
"google-search-engine": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/inspector"],
"env": {
"GOOGLE_API_KEY": "your-value",
"GOOGLE_SEARCH_ENGINE_ID": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| GOOGLE_API_KEY | Credential the server authenticates with. | Yes |
| GOOGLE_SEARCH_ENGINE_ID | Configuration value read at startup. | Optional |
The simplest web tool that matters — fetch any URL and get model-ready markdown back.
Industrial-strength web extraction — render, scrape, crawl and search entire sites into clean markdown.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Put 6,000+ pre-built scrapers at your assistant's fingertips through one MCP endpoint.