Tavily

# Tavily Docs > Tavily is the web layer for AI agents: real-time web search, content extraction, site crawling, site mapping, and cited research — returned as clean, LLM-ready content instead of raw HTML. This index helps agents and developers find the right Tavily doc fast. ## Start Here For Agents If you are an AI agent — or building one — start with the canonical setup guide: - [Agents: Tavily setup & tool-choice guide](https://docs.tavily.com/agents.md): Choose how to connect (SDK/API, MCP, or CLI + Skills), choose the right capability (Search, Extract, Map, Crawl, Research), and apply recommended defaults. Then use this file ([llms.txt](https://docs.tavily.com/llms.txt)) to find a specific page, [llms-full.txt](https://docs.tavily.com/llms-full.txt) for the full text of all docs, or append `.md` to any docs URL to fetch that single page as Markdown. ## Quick Start: CLI (fastest way to get started) Install the Tavily CLI and log in — two commands: ``` pip install tavily-cli tvly login ``` `tvly login` opens a browser for authentication. Then search, extract, crawl, and research from the terminal: ``` tvly search "latest AI news" tvly extract "https://example.com" tvly crawl "https://docs.example.com" --depth 2 tvly research "compare React vs Svelte for production apps" ``` Installing the CLI also installs Agent Skills for coding agents like Claude Code, Cursor, and Codex — they remind the agent to use Tavily for search, extract, crawl, and research. Get a free API key at https://app.tavily.com (1,000 credits/month, no credit card required). ## Alternative: Remote MCP Server Connect any MCP client to Tavily's remote server — no local install required: ``` https://mcp.tavily.com/mcp/?tavilyApiKey=<your-api-key> ``` OAuth 2.0 is supported, so no API key needs to be hardcoded. For example, in Claude Code: ``` claude mcp add tavily-remote-mcp --transport http https://mcp.tavily.com/mcp/ ``` ## Choose How To Connect Choose based on what T