Search · MODEL CONTEXT PROTOCOL
jae jae g search mcp
A powerful MCP server for Google search that enables parallel searching with multiple keywords simultaneously.
WHAT IT CONNECTS
What jae jae g search mcp gives an AI Agent
- `search` - Execute Google searches with multiple keywords and return results
- Uses Playwright browser to perform searches
- Supports the following parameters:
- `queries`: Array of search queries to execute (required parameter)
- `limit`: Maximum number of results to return per query, default is 10
- `timeout`: Page loading timeout in milliseconds, default is 60000 (60 seconds)
- `noSaveState`: Whether to avoid saving browser state, default is false
- `locale`: Locale setting for search results, default is en-US
- `debug`: Whether to enable debug mode (showing browser window), overrides the --debug flag in command line
- **Search Result Quantity**: For more search results:
- **Increase Timeout Duration**: For slow loading situations:
- **Change Search Region**: Specify a different locale setting:
- **Dynamic Debug Activation**: To display the browser window during a specific search operation:
- Node.js 18 or higher
- NPM or Yarn
- Clone the repository:
- Install dependencies:
- Install Playwright browser:
- Build the server:
- [fetcher-mcp](https://github.com/jae-jae/fetcher-mcp): A powerful MCP server for fetching web page content using Playwright headless browser. Features intelligent content extraction, parallel processing, resource optimization, and more, making it an ideal tool for web content scraping.
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.