Search-Server provides a unified interface for AI assistants to access multiple search engines through a standardized API. The implementation integrates with Brave Search, Metaso, and Bocha search services, handling authentication, rate limiting, and response formatting for each provider. Built with Python and modern async libraries like httpx, aiohttp, and Playwright, it abstracts away the complexity of different search APIs while maintaining provider-specific features. This server is particularly valuable for developers who need to incorporate web search capabilities into AI applications without managing multiple search engine integrations separately.
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Highlight AIExecute a web search, supporting pagination and filtering. Parameters: query (string), count (number, optional): number of results per page (max 20), offset (number, optional): pagination offset (max 9)
Search for location-related information (businesses, restaurants, etc.). Parameters: query (string), count (number, optional): number of results (max 20). Automatically switches to web search if no relevant results.
Perform an academic search specifically for academic resources. Parameters: query (string), mode (string, optional): search mode.
Execute a web search, supporting time range filtering and detailed summaries. Parameters: query (string), count (number, optional): number of results (1-10, default 10), page (number, optional): page number, freshness (string, optional): time range, summary (boolean, optional): whether to show detailed summary, default false.
