Tavily
live AI/MLDeveloperAI/LLM-optimized web search built for RAG: returns a synthesized natural-language answer plus a ranked list of sourced results (title, url, content snippet, relevance score).
Tools
search AI/LLM-optimized web search built for RAG: returns a synthesized natural-language answer plus a ranked list of sourced results (title, url, content snippet, relevance score). Prefer this over scraping
No parameters required.
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tavily_news Recent NEWS coverage with FULL ARTICLE TEXT — "latest news about <company/person/topic>", "news coverage of X this week", "what are people reporting about X", "recent headlines on X". Returns a synthe
No parameters required.
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extract Extract clean article text from one or more URLs via Tavily: strips boilerplate/navigation and returns up to 20,000 chars of readable content per page. Accepts a single URL string or an array. Ideal f
No parameters required.
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Test with curl
The gateway speaks JSON-RPC 2.0 over HTTP POST. You can test any pack directly from the terminal.
curl -X POST https://gateway.pipeworx.io/tavily/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' curl -X POST https://gateway.pipeworx.io/tavily/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"search","arguments":{}}}' Use with the SDK
Install @pipeworx/sdk to call tools from any TypeScript/Node project.
import { Pipeworx } from '@pipeworx/sdk';
const px = new Pipeworx();
const result = await px.call("search", {}); // Or ask in plain English:
const answer = await px.ask("ai/llm-optimized web search built for rag: returns a synthesized natural-language answer plus a ranked list of sourced results (title, url, content snippet, relevance score)");