This Tavily MCP server, developed by the Tavily MCP Server Contributors, integrates Tavily's AI-powered search capabilities into MCP-compatible workflows. Built with TypeScript and leveraging the @modelcontextprotocol/sdk, it provides a streamlined interface for performing web searches through Claude Desktop and other MCP clients. The implementation offers both basic and advanced search depths, result caching, and persistent storage of search history. It stands out by providing AI-generated summaries alongside traditional search results. This server is particularly useful for AI assistants and developers looking to incorporate up-to-date web information into their applications, enabling natural language-driven research and information retrieval.
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Execute a search query. Required Parameters: query (string) - The search query to execute. Optional Parameters: search_depth (string) - Either 'basic' (faster) or 'advanced' (more comprehensive).
