Tavily MCP

What is Tavily MCP about?

Tavily MCP delivers a production‑ready Model Context Protocol server that equips AI assistants with four core web‑data capabilities: real‑time search, content extraction, site‑wide mapping, and automated crawling.

How to use Tavily MCP?

1. Install the server with a single NPX command:

   npx -y tavily-mcp@latest
   

2. Set the TAVILY_API_KEY environment variable (or supply it through the client configuration).
3. Connect your MCP‑compatible client (Claude Desktop, Cursor, VS Code, Cline, OpenAI, etc.) by adding the server configuration to the client’s mcp.json or equivalent settings file.
4. Invoke the provided tools (tavily-search, tavily-extract, tavily-map, tavily-crawl) in your prompts or code.

Key features of Tavily MCP

• Real‑time web search via the tavily-search tool.
• Intelligent extraction of relevant data from any page using tavily-extract.
• Website mapping that builds a structured graph of site pages with tavily-map.
• Automated crawling to explore sites depth‑first or breadth‑first with tavily-crawl.
• Remote server option (https://mcp.tavily.com/mcp/) for zero‑install usage.
• Seamless integration with popular AI assistants (Claude Desktop, Cursor, VS Code, Cline, OpenAI).
• One‑click installation via NPX or Smithery.

Use cases of Tavily MCP

• Building knowledge‑graph assistants that need up‑to‑date web information.
• Enriching coding assistants with the latest documentation, tutorials, or API references.
• Generating site maps for SEO analysis or content planning.
• Automated data collection pipelines for market research or competitive analysis.
• Powering chat‑based agents that can browse, fetch, and summarize web content on demand.

FAQ

Q: Do I need to run the server locally? A: No. You can either run the server locally with NPX or use the hosted remote server by supplying your API key.

Q: Which environment variable holds my API key? A: TAVILY_API_KEY.

Q: Can I use Tavily MCP with OpenAI models? A: Yes. Include the MCP tool definition in the OpenAI request as shown in the README.

Q: What Node.js version is required? A: Node.js v20 or higher.

Q: How do I add the server to VS Code? A: Add a JSON block to settings.json or a workspace .vscode/mcp.json as described in the README.

The Tavily MCP server provides:

• search, extract, map, crawl tools
• Real-time web search capabilities through the tavily-search tool
• Intelligent data extraction from web pages via the tavily-extract tool
• Powerful web mapping tool that creates a structured map of website
• Web crawler that systematically explores websites

📚 Helpful Resources

• Tutorial on combining Tavily MCP with Neo4j MCP server
• Tutorial on integrating Tavily MCP with Cline in VS Code

Remote MCP Server

Connect directly to Tavily's remote MCP server instead of running it locally. This provides a seamless experience without requiring local installation or configuration.

Simply use the remote MCP server URL with your Tavily API key:

https://mcp.tavily.com/mcp/?tavilyApiKey=<your-api-key> 

Get your Tavily API key from tavily.com.

Connect to Cursor

Click the ⬆️ Add to Cursor ⬆️ button, this will do most of the work for you but you will still need to edit the configuration to add your API-KEY. You can get a Tavily API key here.

once you click the button you should be redirect to Cursor ...

Step 1

Click the install button

Step 2

You should see the MCP is now installed, if the blue slide is not already turned on, manually turn it on. You also need to edit the configuration to include your own Tavily API key.

Step 3

You will then be redirected to your mcp.json file where you have to add your-api-key.

{
  "mcpServers": {
    "tavily-remote-mcp": {
      "command": "npx -y mcp-remote https://mcp.tavily.com/mcp/?tavilyApiKey=<your-api-key>",
      "env": {}
    }
  }
}

Connect to Claude Desktop

Claude desktop now supports adding integrations which is currently in beta. An integration in this case is the Tavily Remote MCP, below I will explain how to add the MCP as an integration in Claude desktop.

Step 1

open claude desktop, click the button with the two sliders and then navigate to add integrations.

Step 2

click Add integrations

Step 3

Name the integration and insert the Tavily remote MCP url with your API key. You can get a Tavily API key here. Click Add to confirm.

Step 4

Retrun to the chat screen and you will see the Tavily Remote MCP is now connected to Claude desktop.

OpenAI

Allow models to use remote MCP servers to perform tasks.

• You first need to export your OPENAI_API_KEY
• You must also add your Tavily API-key to <your-api-key>, you can get a Tavily API key here

from openai import OpenAI

client = OpenAI()

resp = client.responses.create(
    model="gpt-4.1",
    tools=[
        {
            "type": "mcp",
            "server_label": "tavily",
            "server_url": "https://mcp.tavily.com/mcp/?tavilyApiKey=<your-api-key>",
            "require_approval": "never",
        },
    ],
    input="Do you have access to the tavily mcp server?",
)

print(resp.output_text)

Clients that don't support remote MCPs

mcp-remote is a lightweight bridge that lets MCP clients that can only talk to local (stdio) servers securely connect to remote MCP servers over HTTP + SSE with OAuth-based auth, so you can host and update your server in the cloud while existing clients keep working. It serves as an experimental stop-gap until popular MCP clients natively support remote, authorized servers.

{
    "tavily-remote": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.tavily.com/mcp/?tavilyApiKey=<your-api-key>"
      ]
    }
}

Local MCP

Prerequisites 🔧

Before you begin, ensure you have:

• Tavily API key
  • If you don't have a Tavily API key, you can sign up for a free account here
• Claude Desktop or Cursor
• Node.js (v20 or higher)
  • You can verify your Node.js installation by running:
    • node --version
• Git installed (only needed if using Git installation method)
  • On macOS: brew install git
  • On Linux:
    • Debian/Ubuntu: sudo apt install git
    • RedHat/CentOS: sudo yum install git
  • On Windows: Download Git for Windows

Tavily MCP server installation ⚡

Running with NPX

npx -y tavily-mcp@latest 

Installing via Smithery

To install Tavily MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @tavily-ai/tavily-mcp --client claude

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 VS Code, Cursor and Claude Desktop to work with the tavily-mcp server.

Configuring VS Code 💻

For one-click installation, click one of the install buttons below:

Manual Installation

First check if there are install buttons at the top of this section that match your needs. If you prefer manual installation, follow these steps:

Add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P (or Cmd + Shift + P on macOS) and typing Preferences: Open User Settings (JSON).

{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "tavily_api_key",
        "description": "Tavily API Key",
        "password": true
      }
    ],
    "servers": {
      "tavily": {
        "command": "npx",
        "args": ["-y", "tavily-mcp@latest"],
        "env": {
          "TAVILY_API_KEY": "${input:tavily_api_key}"
        }
      }
    }
  }
}

Optionally, you can add it to a file called .vscode/mcp.json in your workspace:

{
  "inputs": [
    {
      "type": "promptString",
      "id": "tavily_api_key",
      "description": "Tavily API Key",
      "password": true
    }
  ],
  "servers": {
    "tavily": {
      "command": "npx",
      "args": ["-y", "tavily-mcp@latest"],
      "env": {
        "TAVILY_API_KEY": "${input:tavily_api_key}"
      }
    }
  }
}

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
2. Click on the Cline icon in the sidebar
3. Navigate to the "MCP Servers" tab ( 4 squares )
4. Search "Tavily" and click "install"
5. 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:

   For macOS:

   # Using Visual Studio Code
   code ~/Library/Application\ Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
   
   # Or using TextEdit
   open -e ~/Library/Application\ Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
   

   For Windows:

   code %APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json
   

2. Add the Tavily server configuration to the file:

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

   {
     "mcpServers": {
       "tavily-mcp": {
         "command": "npx",
         "args": ["-y", "tavily-mcp@latest"],
         "env": {
           "TAVILY_API_KEY": "your-api-key-here"
         },
         "disabled": false,
         "autoApprove": []
       }
     }
   }
   

3. Save the file and restart Cline if it's already running.

4. 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 the Claude Desktop app 🖥️

For macOS:

# Create the config file if it doesn't exist
touch "$HOME/Library/Application Support/Claude/claude_desktop_config.json"

# Opens the config file in TextEdit 
open -e "$HOME/Library/Application Support/Claude/claude_desktop_config.json"

# Alternative method using Visual Studio Code (requires VS Code to be installed)
code "$HOME/Library/Application Support/Claude/claude_desktop_config.json"

For Windows:

code %APPDATA%\Claude\claude_desktop_config.json

Add the Tavily server configuration:

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

{
  "mcpServers": {
    "tavily-mcp": {
      "command": "npx",
      "args": ["-y", "tavily-mcp@latest"],
      "env": {
        "TAVILY_API_KEY": "your-api-key-here"
      }
    }
  }
}

2. Git Installation

1. Clone the repository:

git clone https://github.com/tavily-ai/tavily-mcp.git
cd tavily-mcp

2. Install dependencies:

npm install

3. Build the project:

npm run build

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.

{
  "mcpServers": {
    "tavily": {
      "command": "npx",
      "args": ["/path/to/tavily-mcp/build/index.js"],
      "env": {
        "TAVILY_API_KEY": "your-api-key-here"
      }
    }
  }
}

Acknowledgments ✨

• Model Context Protocol for the MCP specification
• Anthropic for Claude Desktop