Tavily Search
Summary
This MCP server integrates with the Tavily search API, providing AI assistants with advanced web search capabilities. Developed by Arben Ademi, it leverages the MCP framework and Tavily's AI-powered search engine to deliver highly relevant and contextual search results. The implementation is built in Python 3.11+ and uses dependencies like httpx and python-dotenv for efficient HTTP requests and environment variable management. It's designed for developers and AI applications that require enhanced web search functionality, enabling natural language queries to retrieve up-to-date information from across the internet.
Available Actions(1)
search
Perform a search based on the provided query. Parameters: query (string), search_depth (optional string), include_images (optional boolean), max_results (optional integer), topic (optional string), include_raw_content (optional boolean)
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