Tavily Search

Integrates the Tavily search API to provide customizable web searches with options for depth, result count, time range, and AI-generated answers, enabling up-to-date information retrieval for research, content creation, and data aggregation tasks.

This MCP server implementation integrates the Tavily search API to provide advanced web search capabilities. Developed by Eric Julianto, it offers tools for performing customizable searches with options for depth, result count, time range, and AI-generated answers. The server is built using the FastMCP framework and includes features like progress reporting and resource handling. It's designed for use cases requiring up-to-date web information, such as research, content creation, or data aggregation tasks.