tavily-search-mcp-server

tavily-search-mcp-server

3.3

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Tavily Search MCP Server integrates the Tavily Search API to provide optimized search capabilities for LLMs.

The Tavily Search MCP Server is a robust implementation designed to enhance search capabilities for large language models (LLMs) by integrating the Tavily Search API. This server allows users to perform web searches with advanced control over search parameters such as depth, topic, and time range. It also features content extraction to ensure the most relevant information is retrieved, optimizing for both quality and size. Users can customize their search experience by including optional features like images, image descriptions, and short LLM-generated answers. Additionally, domain filtering is available to include or exclude specific domains from search results. The server is designed to be easily integrated with platforms like Claude Desktop, offering flexibility in deployment through npm or Docker.

Features

  • Web Search: Perform web searches optimized for LLMs, with control over search depth, topic, and time range.
  • Content Extraction: Extracts the most relevant content from search results, optimizing for quality and size.
  • Optional Features: Include images, image descriptions, short LLM-generated answers, and raw HTML content.
  • Domain Filtering: Include or exclude specific domains in search results.

Tools

  1. tavily_search

    Perform web search using the Tavily Search API