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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Highlight AIPerform a basic search. Parameters: query (string)
Perform an advanced search with additional parameters. Parameters: query (string), search_depth (string, either 'basic' or 'advanced'), include_images (boolean), max_results (integer)
Conduct a news-specific search. Parameters: query (string), topic (string, should be 'news'), max_results (integer)
Execute a search that includes raw content. Parameters: query (string), include_raw_content (boolean), max_results (integer)
