Tavily Search
Summary
This Tavily Search MCP server, developed by Alexandros Pappas, integrates the Tavily Search API into the Model Context Protocol framework. Built with TypeScript and leveraging Express.js, it provides a streamlined interface for AI models to perform web searches using Tavily's advanced search capabilities. The implementation supports both stdio and Server-Sent Events (SSE) communication methods, making it versatile for different deployment scenarios. It's particularly useful for enhancing AI-driven applications with real-time, high-quality web search results, enabling use cases like fact-checking, research assistance, or content generation that requires up-to-date information from the internet.
Available Actions(1)
tavily_search
Execute web searches using the Tavily Search API. Inputs: query (string, required), search_depth (string, optional): 'basic' or 'advanced' (default: 'basic'), topic (string, optional): 'general' or 'news' (default: 'general'), days (number, optional): Number of days back for news search (default: 3), time_range (string, optional): Time range filter ('day', 'week', 'month', 'year' or 'd', 'w', 'm', 'y'), max_results (number, optional): Maximum number of results (default: 5), include_images (boolean, optional): Include related images (default: false), include_image_descriptions (boolean, optional): Include descriptions for images (default: false), include_answer (boolean, optional): Include a short LLM-generated answer (default: false), include_raw_content (boolean, optional): Include raw HTML content (default: false), include_domains (string[], optional): Domains to include, exclude_domains (string[], optional): Domains to exclude.
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