TavilyTavily

An MCP server for Tavily's search API providing AI-powered web search capabilities.

Tools

tavily_web_search

Performs a comprehensive web search using Tavily's AI-powered search engine. Excels at extracting and summarizing relevant content from web pages, making it ideal for research, fact-finding, and gathering detailed information. Can run in either 'basic' mode for faster, simpler searches or 'advanced' mode for more thorough analysis. Basic is cheaper and good for most use cases. Supports filtering results by including or excluding specific domains. Use include_domains/exclude_domains parameters to filter by specific websites. Returns multiple search results with AI-extracted relevant content.

tavily_answer_search

Performs a web search using Tavily's AI search engine and generates a direct answer to the query, along with supporting search results. Best used for questions that need concrete answers backed by current web sources. Uses advanced search depth by default for comprehensive analysis. Features powerful source control through domain filtering: - For academic research: exclude_domains=["wikipedia.org"] for more scholarly sources - For financial analysis: include_domains=["wsj.com", "bloomberg.com", "ft.com"] - For technical documentation: include_domains=["docs.python.org", "developer.mozilla.org"] - For scientific papers: include_domains=["nature.com", "sciencedirect.com"] - Can combine includes and excludes to fine-tune your sources Particularly effective for factual queries, technical questions, and queries requiring synthesis of multiple sources.

tavily_news_search

Searches recent news articles using Tavily's specialized news search functionality. Ideal for current events, recent developments, and trending topics. Can filter results by recency (number of days back to search) and by including or excluding specific news domains. Powerful domain filtering for news sources: - For mainstream news: include_domains=["reuters.com", "apnews.com", "bbc.com"] - For financial news: include_domains=["bloomberg.com", "wsj.com", "ft.com"] - For tech news: include_domains=["techcrunch.com", "theverge.com"] - To exclude paywalled content: exclude_domains=["wsj.com", "ft.com"] - To focus on specific regions: include_domains=["bbc.co.uk"] for UK news Returns news articles with publication dates and relevant excerpts.

Installation

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Configuration

Monthly Tool Calls

3,632

License

MIT

Local

No

Published

12/19/2024