tavily search.com
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Tavily Search

Integrates with Tavily API to provide real-time web search and content extraction capabilities for research, aggregation...

Created byApr 22, 2025

Tavily MCP Server

GitHub Repo stars npm smithery badge
Compatible with [Cline](https://github.com/cline/cline), [Cursor](https://cursor.sh), [Claude Desktop](https://claude.ai/desktop), and any other MCP Clients!Tavily MCP is also compatible with any MCP client
Tavily MCP Demo
The Model Context Protocol (MCP) is an open standard that enables AI systems to interact seamlessly with various data sources and tools, facilitating secure, two-way connections.
Developed by Anthropic, the Model Context Protocol (MCP) enables AI assistants like Claude to seamlessly integrate with Tavily's advanced search and data extraction capabilities. This integration provides AI models with real-time access to web information, complete with sophisticated filtering options and domain-specific search features.
The Tavily MCP server provides:
  • Seamless interaction with the tavily-search and tavily-extract tools
  • Real-time web search capabilities through the tavily-search tool
  • Intelligent data extraction from web pages via the tavily-extract tool

Prerequisites

Before you begin, ensure you have:
  • Git installed (only needed if using Git installation method)

Tavily MCP server installation

Running with NPX

Installing via Smithery

To install Tavily MCP Server for Claude Desktop automatically via Smithery:
Although you can launch a server on its own, it's not particularly helpful in isolation. Instead, you should integrate it into an MCP client. Below is an example of how to configure the Claude Desktop app to work with the tavily-mcp server.

Configuring MCP Clients

This repository will explain how to configure both Cursor and Claude Desktop to work with the tavily-mcp server.

Configuring Cline

The easiest way to set up the Tavily MCP server in Cline is through the marketplace with a single click:
  1. Open Cline in VS Code
  1. Click on the Cline icon in the sidebar
  1. Navigate to the "MCP Servers" tab ( 4 squares )
  1. Search "Tavily" and click "install"
  1. When prompted, enter your Tavily API key
Alternatively, you can manually set up the Tavily MCP server in Cline:
  1. Open the Cline MCP settings file:
  1. Add the Tavily server configuration to the file:Replace your-api-key-here with your actual Tavily API key.
  1. Save the file and restart Cline if it's already running.
  1. When using Cline, you'll now have access to the Tavily MCP tools. You can ask Cline to use the tavily-search and tavily-extract tools directly in your conversations.

Configuring Cursor

Note: Requires Cursor version 0.45.6 or higher
To set up the Tavily MCP server in Cursor:
  1. Open Cursor Settings
  1. Navigate to Features > MCP Servers
  1. Click on the "+ Add New MCP Server" button
  1. Fill out the following information:
After adding the server, it should appear in the list of MCP servers. You may need to manually press the refresh button in the top right corner of the MCP server to populate the tool list.
The Composer Agent will automatically use the Tavily MCP tools when relevant to your queries. It is better to explicitly request to use the tools by describing what you want to do (e.g., "User tavily-search to search the web for the latest news on AI"). On mac press command + L to open the chat, select the composer option at the top of the screen, beside the submit button select agent and submit the query when ready.
Cursor Interface Example

Configuring the Claude Desktop app

For macOS:

For Windows:

Add the Tavily server configuration:

Replace your-api-key-here with your actual Tavily API key.

2. Git Installation

  1. Clone the repository:
  1. Install dependencies:
  1. Build the project:

Configuring the Claude Desktop app

Follow the configuration steps outlined in the Configuring the Claude Desktop app section above, using the below JSON configuration.
Replace your-api-key-here with your actual Tavily API key and /path/to/tavily-mcp with the actual path where you cloned the repository on your system.

Usage in Claude Desktop App

Once the installation is complete, and the Claude desktop app is configured, you must completely close and re-open the Claude desktop app to see the tavily-mcp server. You should see a hammer icon in the bottom left of the app, indicating available MCP tools, you can click on the hammer icon to see more detial on the tavily-search and tavily-extract tools.
Alt text
Now claude will have complete access to the tavily-mcp server, including the tavily-search and tavily-extract tools. If you insert the below examples into the Claude desktop app, you should see the tavily-mcp server tools in action.

Tavily Search Examples

  1. General Web Search:
  1. News Search:
  1. Domain-Specific Search:

Tavily Extract Examples

  1. Extract Article Content:

Combine Search and Extract

You can also combine the tavily-search and tavily-extract tools to perform more complex tasks.

Troubleshooting

Common Issues

  1. Server Not Found
  1. NPX related issues
  • If you encounter errors related to npx, you may need to use the full path to the npx executable instead.
  • You can find this path by running which npx in your terminal, then replace the "command": "npx" line with "command": "/full/path/to/npx" in your configuration.
  1. API Key Issues

Acknowledgments

Tavily MCP Server

GitHub Repo stars npm smithery badge
Compatible with [Cline](https://github.com/cline/cline), [Cursor](https://cursor.sh), [Claude Desktop](https://claude.ai/desktop), and any other MCP Clients!Tavily MCP is also compatible with any MCP client
Tavily MCP Demo
The Model Context Protocol (MCP) is an open standard that enables AI systems to interact seamlessly with various data sources and tools, facilitating secure, two-way connections.
Developed by Anthropic, the Model Context Protocol (MCP) enables AI assistants like Claude to seamlessly integrate with Tavily's advanced search and data extraction capabilities. This integration provides AI models with real-time access to web information, complete with sophisticated filtering options and domain-specific search features.
The Tavily MCP server provides:
  • Seamless interaction with the tavily-search and tavily-extract tools
  • Real-time web search capabilities through the tavily-search tool
  • Intelligent data extraction from web pages via the tavily-extract tool

Prerequisites

Before you begin, ensure you have:
  • Git installed (only needed if using Git installation method)

Tavily MCP server installation

Running with NPX

Installing via Smithery

To install Tavily MCP Server for Claude Desktop automatically via Smithery:
Although you can launch a server on its own, it's not particularly helpful in isolation. Instead, you should integrate it into an MCP client. Below is an example of how to configure the Claude Desktop app to work with the tavily-mcp server.

Configuring MCP Clients

This repository will explain how to configure both Cursor and Claude Desktop to work with the tavily-mcp server.

Configuring Cline

The easiest way to set up the Tavily MCP server in Cline is through the marketplace with a single click:
  1. Open Cline in VS Code
  1. Click on the Cline icon in the sidebar
  1. Navigate to the "MCP Servers" tab ( 4 squares )
  1. Search "Tavily" and click "install"
  1. When prompted, enter your Tavily API key
Alternatively, you can manually set up the Tavily MCP server in Cline:
  1. Open the Cline MCP settings file:
  1. Add the Tavily server configuration to the file:Replace your-api-key-here with your actual Tavily API key.
  1. Save the file and restart Cline if it's already running.
  1. When using Cline, you'll now have access to the Tavily MCP tools. You can ask Cline to use the tavily-search and tavily-extract tools directly in your conversations.

Configuring Cursor

Note: Requires Cursor version 0.45.6 or higher
To set up the Tavily MCP server in Cursor:
  1. Open Cursor Settings
  1. Navigate to Features > MCP Servers
  1. Click on the "+ Add New MCP Server" button
  1. Fill out the following information:
After adding the server, it should appear in the list of MCP servers. You may need to manually press the refresh button in the top right corner of the MCP server to populate the tool list.
The Composer Agent will automatically use the Tavily MCP tools when relevant to your queries. It is better to explicitly request to use the tools by describing what you want to do (e.g., "User tavily-search to search the web for the latest news on AI"). On mac press command + L to open the chat, select the composer option at the top of the screen, beside the submit button select agent and submit the query when ready.
Cursor Interface Example

Configuring the Claude Desktop app

For macOS:

For Windows:

Add the Tavily server configuration:

Replace your-api-key-here with your actual Tavily API key.

2. Git Installation

  1. Clone the repository:
  1. Install dependencies:
  1. Build the project:

Configuring the Claude Desktop app

Follow the configuration steps outlined in the Configuring the Claude Desktop app section above, using the below JSON configuration.
Replace your-api-key-here with your actual Tavily API key and /path/to/tavily-mcp with the actual path where you cloned the repository on your system.

Usage in Claude Desktop App

Once the installation is complete, and the Claude desktop app is configured, you must completely close and re-open the Claude desktop app to see the tavily-mcp server. You should see a hammer icon in the bottom left of the app, indicating available MCP tools, you can click on the hammer icon to see more detial on the tavily-search and tavily-extract tools.
Alt text
Now claude will have complete access to the tavily-mcp server, including the tavily-search and tavily-extract tools. If you insert the below examples into the Claude desktop app, you should see the tavily-mcp server tools in action.

Tavily Search Examples

  1. General Web Search:
  1. News Search:
  1. Domain-Specific Search:

Tavily Extract Examples

  1. Extract Article Content:

Combine Search and Extract

You can also combine the tavily-search and tavily-extract tools to perform more complex tasks.

Troubleshooting

Common Issues

  1. Server Not Found
  1. NPX related issues
  • If you encounter errors related to npx, you may need to use the full path to the npx executable instead.
  • You can find this path by running which npx in your terminal, then replace the "command": "npx" line with "command": "/full/path/to/npx" in your configuration.
  1. API Key Issues

Acknowledgments

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