Tavily Mcp

io.github.tavily-ai由 GitHub 帳號 tavily-ai 發布v0.2.15更新於 Oct 24, 2026

MCP server for advanced web search using Tavily

概覽

AI 產生的概覽

Tavily MCP 讓助理進行即時網路搜尋,並提供網頁內容擷取、網站結構對應與網站爬取工具。

可以做什麼
透過 tavily-search 搜尋即時網路,取得排序結果,可選擇包含圖片,並能設定搜尋深度與結果數量,預設值可用 DEFAULT_PARAMETERS 指定。透過 tavily-extract 從指定網頁擷取可讀內容。透過對應工具產生網站頁面的結構化概覽。透過爬蟲工具有系統地探索並收集網站頁面。
適用情境
適合助理需要最新網路資訊、從特定連結取得頁面內容,或在深入研究與爬取前先了解網站結構時使用。適用於調查研究、內容收集與網站探索類工作流程。
執行需求
需要 Tavily API 金鑰:本機 npm 套件透過 TAVILY_API_KEY 環境變數提供(需 Node.js v20 或以上版本,以 npx 執行),遠端端點則放在 URL 或 Authorization 標頭中。需要連線至 Tavily 的網路存取。DEFAULT_PARAMETERS 為選用項目。
安裝前請注意
Tavily API 金鑰是計費憑證,不要寫入共用設定,優先使用 Authorization 標頭或 OAuth,避免把金鑰放在 URL 中。爬取與對應工具會將目標網站 URL 傳送給 Tavily。選用的 TAVILY_HUMAN_ID 會以 X-Human-Id 標頭轉送,用於依使用者統計,建議使用不透明的識別碼而非個人資料。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Tavily Mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Tavily MCP Server

[GitHub Repo stars] [npm] [smithery badge]

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.

Alternatively, you can pass your API key through an Authorization header if the MCP client supports this:

Authorization: Bearer <your-api-key>

Note: When using the remote MCP, you can specify default parameters for all requests by including a DEFAULT_PARAMETERS header containing a JSON object with your desired defaults. Example:

json
{"include_images":true, "search_depth": "basic", "max_results": 10}

Connect to Claude Code

Claude Code is Anthropic's official CLI tool for Claude. You can add the Tavily MCP server using the claude mcp add command. There are two ways to authenticate:

Option 1: API Key in URL

Pass your API key directly in the URL. Replace <your-api-key> with your actual Tavily API key:

bash
claude mcp add --transport http tavily https://mcp.tavily.com/mcp/?tavilyApiKey=<your-api-key>
Option 2: OAuth Authentication Flow

Add the server without an API key in the URL:

bash
claude mcp add --transport http tavily https://mcp.tavily.com/mcp

After adding, you'll need to complete the authentication flow:

  1. Run claude to start Claude Code
  2. Type /mcp to open the MCP server management
  3. Select the Tavily server and complete the authentication process

Tip: Add --scope user to either command to make the Tavily MCP server available globally across all your projects:

bash
claude mcp add --transport http --scope user tavily https://mcp.tavily.com/mcp/?tavilyApiKey=<your-api-key>

Once configured, you'll have access to the Tavily search, extract, map, and crawl tools.

Connect to Cursor

[Install MCP Server]

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

[圖片]

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. [圖片]

Step 3

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

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

Remote MCP Server OAuth Flow

The Tavily Remote MCP server supports secure OAuth authentication, allowing you to connect and authorize seamlessly with compatible clients.

How to Set Up OAuth Authentication

A. Using MCP Inspector:

  • Open the MCP Inspector and click "Open Auth Settings".
  • Select the OAuth flow and complete these steps:
    1. Metadata discovery
    2. Client registration
    3. Preparing authorization
    4. Request authorization and obtain the authorization code
    5. Token request
    6. Authentication complete

Once finished, you will receive an access token that lets you securely make authenticated requests to the Tavily Remote MCP server.

B. Using other MCP Clients (Example: Cursor):

You can configure your MCP client to use OAuth without including your Tavily API key in the URL. For example, in your mcp.json:

json
{  "mcpServers": {    "tavily-remote-mcp": {      "command": "npx mcp-remote https://mcp.tavily.com/mcp",      "env": {}    }  }}

If you need to clear stored OAuth credentials and reauthenticate, run:

bash
rm -rf ~/.mcp-auth

Note:

  • OAuth authentication is optional. You can still use API key authentication at any time by including your Tavily API key in the URL query parameter (?tavilyApiKey=...) or by setting it in the Authorization header, as described above.
Selecting Which API Key Is Used for OAuth

After successful OAuth authentication, you can control which API key is used by naming it mcp_auth_default:

  • If you set a key named mcp_auth_default in your personal account, that key will be used for the auth flow.
  • If you are part of a team that has a key named mcp_auth_default, that key will be used for the auth flow.
  • If you have both a personal key and a team key named mcp_auth_default, the personal key will be prioritized.
  • If no mcp_auth_default key is set, the default key in your personal account will be used. If no default key is set, the first available key will be used.

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

Running with NPX

bash
npx -y tavily-mcp@latest 

Default Parameters Configuration ⚙️

You can set default parameter values for the tavily-search tool using the DEFAULT_PARAMETERS environment variable. This allows you to configure default search behavior without specifying these parameters in every request.

Example Configuration

bash
export DEFAULT_PARAMETERS='{"include_images": true}'

Example usage from Client

json
{  "mcpServers": {    "tavily-mcp": {      "command": "npx",      "args": ["-y", "tavily-mcp@latest"],      "env": {        "TAVILY_API_KEY": "your-api-key-here",        "DEFAULT_PARAMETERS": "{\"include_images\": true, \"max_results\": 15, \"search_depth\": \"advanced\"}"      }    }  }}

Identifying the End User (Optional)

You can optionally identify the end user on whose behalf requests are being made by setting the TAVILY_HUMAN_ID environment variable. When set, Tavily MCP forwards it as the X-Human-Id header on every API call, enabling per-user analytics.

This is entirely optional — leave it unset and behavior is unchanged.

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

Privacy note: Tavily hashes human_id server-side (SHA-256) before storage, so the raw value is never persisted. Even so, prefer opaque identifiers (e.g. an internal user ID) over raw PII like emails when possible.

Acknowledgments ✨

來源:README.md,提交 1c1d54c

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版本歷史

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  1. v0.2.15最新Sep 16, 2026

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