Mechanism for Realizing Multi-Keyword Parallel Search in G-Search-MCP
The core innovation of G-Search-MCP, an open source tool based on Model Context Protocol (MCP) server architecture, is the realization of parallel search function for multiple keywords. The tool intelligently creates multiple tabs in a single browser instance to synchronize the execution of search requests for different keywords through Playwright browser automation technology. Compared to traditional single-threaded search methods, this approach can improve search efficiency by at least 2-3 times.
In terms of technical implementation, the tool uses Node.js 18+ runtime environment to ensure that the search threads do not interfere with each other through an optimized asynchronous processing mechanism. In the test environment, simultaneous search for 3-5 keywords consumes only about 30% more time than a single keyword search, while the time required for regular serial search will grow exponentially. The search results are returned in a standardized JSON format, containing structured data such as titles, links and summaries, which facilitates subsequent data analysis and processing.
This answer comes from the articleG-Search-MCP: MCP Server for Free Google SearchThe
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