Tavily MCP
Production ready MCP server with real-time search, extract, map & crawl.
Tavily MCP is an open-source mcp server by tavily-ai, written mainly in TypeScript, with 2,469 GitHub stars and the MIT license. Its code was last updated Oct 29, 2026.
Scan summary: scanned Nov 5, 2026 at commit ff166aa. No capabilities flagged by our checks. Scan policy
ff166aa · Nov 5, 2026Findings (3)
- lowLow. Minor, or common in normal tools. Shown for information.@hono/node-server@2.0.12: 1 known vulnerabilityGHSA-rmxm-3fg6-px4f
package-lock.json - lowLow. Minor, or common in normal tools. Shown for information.package.json has a prepare scriptnpm run build
package.json - lowLow. Minor, or common in normal tools. Shown for information.No manifest declaring network access and environment variables (agent.json)
Network activity
Tools exposed (6)
tavily_searchSearch the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff, and before answering any question about specific facts, figures or recent events. Returns snippets and source URLs. Results are short excerpts; read a page with tavily_extract to confirm w
tavily_extractExtract content from URLs. Returns raw page content in markdown or text format. Use it to read a page in full or to confirm a fact found in search results. Pages that could not be read are listed in failed_results; retry a timeout once, then try another source.
tavily_crawlCrawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
tavily_mapMap a website's structure. Returns a list of URLs found starting from the base URL.
tavily_researchPerform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings. Rate limit: 20 requests per minute.
tavily_feedbackSubmit feedback for a search request or session via POST /feedback. Maximize useful signal whenever you call this tool: 1) Scope: set request_id from the search response (and/or session_id). 2) Per-result urls_scores first — MANDATORY when scoring a search: include an entry for EVERY result in the s
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