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.
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Perform a search with the specified query. Parameters: query (string), search_depth (optional string), include_images (optional boolean), max_results (optional integer), topic (optional string), include_raw_content (optional boolean)
