google-search-mcp
@modelcontextprotocol-servers
About google-search-mcp
Model Context Protocol server for google search. A Playwright-based Model Context Protocol (MCP) tool that bypasses search engine anti-bot mechanisms, performs Google searches, and extracts results, providing real-time search capabilities for AI assistants like Claude and Cursor.
Basic information
Config
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Overview
What is google-search-mcp?
A Playwright-based Model Context Protocol (MCP) server that bypasses search engine anti-bot mechanisms, performs Google searches, and extracts results. It provides real-time search capabilities for AI assistants such as Claude and Cursor.
How to use google-search-mcp?
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Key features of google-search-mcp
- Bypasses Google’s anti-bot mechanisms.
- Performs real-time Google searches.
- Extracts search results via Playwright.
- Integrates with MCP-compatible AI assistants.
- Supports assistants like Claude and Cursor.
Use cases of google-search-mcp
- Enabling an AI assistant to fetch live web search results.
- Automating Google searches without triggering bot detection.
- Providing current, real-time data for conversational AI agents.
- Extracting search result snippets for further processing.
FAQ from google-search-mcp
What does google-search-mcp do?
It is an MCP tool that performs Google searches, extracts results, and returns them to your AI assistant, bypassing common anti-bot barriers.
What technology does it use?
It is built on Playwright, a browser automation library, to interact with Google Search and extract results.
Which AI assistants can it be used with?
It is designed for MCP-compatible assistants such as Claude and Cursor.
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