Tavily Search MCP Server

@enzeberg

Basic information

About Tavily Search MCP Server

A simple Tavily Search MCP Server implementation

Tavily Search MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "tavily-search": {
      "command": "node",
      "args": [
        "/path/to/tavily-search-mcp-server/dist/index.js"
      ],
      "env": {
        "TAVILY_API_KEY": "your_tavily_api_key_here"
      }
    }
  }
}

Tavily Search MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Tavily Search Mcp Server?

Tavily Search MCP Server is a simple Model Context Protocol (MCP) server that provides web search functionality using the Tavily Search API. It is built with TypeScript and the MCP SDK, intended for developers who need to add web search capabilities to MCP-compatible applications.

How to use Tavily Search Mcp Server?

Clone or extract the project, install dependencies with npm install, and run the server. The server accepts configurable search parameters such as maximum results and domain filters.

Key features of Tavily Search Mcp Server

Web search using the Tavily API.
Configurable search parameters (max results, domain filters).
Clean, formatted search results.
Built with TypeScript and MCP SDK.

Use cases of Tavily Search Mcp Server

Adding web search to MCP‑based AI assistants.
Retrieving up‑to‑date information from the web programmatically.
Filtering search results by domain for specific data sources.

Frequently asked questions

What is the Tavily Search MCP Server?

It is an MCP server that provides web search functionality via the Tavily Search API, designed for integration with Model Context Protocol applications.

What dependencies or runtime does it require?

The server is built with TypeScript and uses the MCP SDK; it requires Node.js and `npm install` to set up.

Where does the search data come from?

All search results are fetched from the Tavily Search API; the server itself does not store any data.

What configuration options are available?

You can configure maximum number of results and apply domain filters to narrow searches.

What transport does the server use?

The README does not specify the transport protocol, but as an MCP server it uses the standard MCP transport (e.g., stdio).

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