How can I extract content from URLs?

Use the 'extract' tool with options to specify extraction depth and whether to include images.

What configuration options are available for searches?

Options include search depth, topic category, time range, max results, inclusion of images and descriptions, domain filters, and token limits.

How are responses formatted?

Responses return an array of content items with type 'text' and text content; search results include title, content, and URL.

What environment variables are needed?

You must provide a Tavily API key via the TAVILY_API_KEY environment variable.

MCP Tavily

searchcontent-extractionapimcp

MCP server for Tavily API enabling advanced search and content extraction with configurable options.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "kshern-mcp-tavily": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

This MCP server integrates the Tavily API to provide multiple search tools including basic, context-aware, and Q&A focused searches, along with content extraction from URLs. It supports extensive configuration for search depth, filtering, and content inclusion, making it suitable for applications needing rich search results and detailed content extraction. Use it when you require structured search responses or content scraping through MCP-compatible AI agents.

Use cases

Perform basic keyword searches with customizable parameters

Execute context-aware searches for improved relevance

Run question-and-answer focused searches

Extract detailed content from specified URLs

Filter search results by topic, time range, and domains

Key features

Basic, context, and Q&A search tools

Content extraction from multiple URLs

Configurable search depth and filtering options

Supports inclusion of images and image descriptions

Returns structured content with titles, URLs, and text

Error handling with descriptive messages

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Tavily.

Extracted Tool Capabilities

Basic, context, and Q&A search tools

Content extraction from multiple URLs

Configurable search depth and filtering options

Supports inclusion of images and image descriptions

Returns structured content with titles, URLs, and text

Error handling with descriptive messages

Documentation Overview

MCP Tavily is a 🔎 Search & Data Extraction MCP server from kshern listed on AllMCPs. mcp server of tavily

Read the full README →View source on GitHub →

Related MCP Servers

View all in Search & Data Extraction View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

npm downloads

30k

Package downloads in the last 30 days.

Last commit

3mo ago

Most recent push to the default branch.

Directory activity

1 views

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Frequently Asked Questions about MCP Tavily

It provides three search tools: basic search, context-aware search, and question-and-answer focused search.

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Technical Specs & Signals

CategorySearch & Data Extraction

PricingBring your own API key (usage-based cost)

41Quality signal: Fair · 41/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools14/30

Adoption & activity7/15

Community engagement0/10

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Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 28d ago via OSV.dev · @smithery/cli (npm)

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