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Tavily MCP server

Search engine tailored for AI agents.

Tavily is not a separate install. One Activepieces MCP server exposes it alongside 760+ other apps, behind a single URL.

Start building See the Tavily integration
Tools
3
Works with
Any MCP client
Auth
API key
License
MIT, open source
Updated
September 2026

About the Tavily MCP server

Connect Tavily once in Activepieces and every action it ships becomes a tool your assistant can call, behind the same server URL as the rest of your apps. Your agent reaches Tavily and 760+ other apps over a single connection, on our cloud or a self-hosted install.

Tools

Tavily tools your AI can run

Once connected, your assistant can call any of these Tavily actions by asking in plain language.

  • Search

    Search for data based on a query.

    12 fields

  • Extract Content

    Retrieve raw web content from specified URLs.

    2 fields

  • Custom API Call

    Make a custom API call to a specific endpoint

    10 fields

Give your assistant Tavily

Connect Tavily once and every tool above is callable from Claude, Cursor or any MCP client, behind the same server URL as 760+ other apps. Free to start.

Get your server URLTalk to sales

Tavily MCP, answered.

No. That is the point of it. One Activepieces server exposes Tavily alongside every other piece you connect, so your client keeps a single connection.

Yes. Activepieces is open source and free to start, and the MCP server is included on every plan, from the free cloud tier to any self-hosted deployment.

Connect Tavily in Activepieces, enable the server under Settings → MCP Server, then paste your server URL into your client config. It authenticates over OAuth on first use.

It can call 3 tools, including Search, Extract Content, Custom API Call, and chain them with steps in other apps inside the same run.

Connections use OAuth2 with limited scopes and are stored under 256-bit encryption, with no API to read them back, so an agent gets scoped access rather than your keys.

Guides using Tavily

Building a Reliable Harness for Multi-Agent AI Systems An agentic harness provides the structural framework necessary to manage communication, error handling, and state persistence between autonomous models.Tavily automation Read our quick guide on Tavily automation. Discover how it works, explore common use cases, and learn how Activepieces can help.

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