This project implements a Model Context Protocol (MCP) server that uses the local [gemini-cli](https://github.com/google-gemini/gemini-cli) to
MCP Gemini Web Search becomes available to MCP clients through the mcp gemini web search mcp server. This project implements a Model Context Protocol (MCP) server that uses the local gemini-cli to perform Web Search Tool.
This project implements a Model Context Protocol (MCP) server that uses the local gemini-cli to perform Web Search Tool.
Setup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
gemini-cli.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. MCP Gemini Web Search 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": {
"gemini-web-search": {
"command": "node",
"args": [
"/path/to/mcp-gemini-web-search/index.js"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
gemini-cli.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.