mcpField
T
Tavily

Tavily

Remote
pipeworx.ioSearch0Updated 5w ago

About Tavily

Tavily is an MCP server for AI agents that need sourced web context. It combines synthesized search answers, recent news with article text, and clean extraction from URLs.

Key features

  1. 01RAG-oriented web search with ranked sources
  2. 02Recent news search with full article text
  3. 03Clean text extraction from URLs

Use cases

  1. 01Find sourced context for an LLM response
  2. 02Review recent coverage of a topic
  3. 03Extract readable text from article pages

MCP support

Exposes Tavily search, news, and URL extraction tools to MCP clients. It can run as a local stdio server or through the Pipeworx gateway.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://gateway.pipeworx.io/tavily/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

mcp-tavily

Tavily MCP — wraps the Tavily API (tavily.com)

Part of Pipeworx — an MCP gateway connecting AI agents to 1683+ live data sources.

Tools

ToolDescription
searchAI/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 a generic search engine when you need grounded, citable web context. Example: search({ query: "latest SpaceX Starship test result" })
tavily_newsRecent 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 synthesized answer plus ranked articles each carrying title, url, publication content, and a relevance score — the full text, not just a headline, so the calling agent can quote and cite. Freshness-windowed via days (default 7). This is the premium news path (Tavily, funded key, no per-IP throttle, no shared free-tier quota); prefer it when the question asks what is being REPORTED about a specific entity or topic.
extractExtract 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 for feeding source pages into an LLM.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "tavily": {
      "url": "https://gateway.pipeworx.io/tavily/mcp"
    }
  }
}
What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/tavily/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1683+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

Our tavily key is reserved for paid accounts, so an anonymous call to POST https://gateway.pipeworx.io/v1/tools/tavily_search needs your own key passed as _apiKey alongside the arguments. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/tavily_search. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "tavily": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-tavily"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-tavily

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Tavily data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.