Tavily Search MCP Server - Fast AI Web Search for Agents avatar

Tavily Search MCP Server - Fast AI Web Search for Agents

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from $11.99 / 1,000 searches

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Tavily Search MCP Server - Fast AI Web Search for Agents

Tavily Search MCP Server - Fast AI Web Search for Agents

Search the web through AI assistants via MCP. Tavily's AI search engine with ranked results, AI answers, images, and full page content. No API key needed. Works with Claude, ChatGPT, any MCP client.

Pricing

from $11.99 / 1,000 searches

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Developer

ClearPath

ClearPath

Maintained by Community

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1

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9

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3

Monthly active users

14 hours ago

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Ranked results. Full page content. AI answers. Research-ready output for your AI assistant.

From Clearpath, creators of Tavily Search, Brave Search and Google AI Overview. Search results, source content and AI research tools from the same team.

Why choose this actor?

  • Give your assistant the answer and its sources. Get ranked search results with relevance scores, source URLs and an optional AI-generated answer in the same response. Use scores to prioritize the pages worth reading.
  • Bring full page content into the conversation. Enable Markdown or plain text to return source content alongside search snippets. Your assistant can work with the article itself; content availability depends on the source.
  • Control where the research comes from. Include or exclude domains, set a date range, focus on news or use an exact phrase. Choose from four search depths and request up to 20 results per query.

Connect your AI assistant

Try a search with an answer and page content

Connect a compatible MCP client to:

https://clearpath--tavily-search-mcp.apify.actor/mcp

Authenticate with Authorization: Bearer YOUR_APIFY_TOKEN, using your Apify token. No Tavily account or Tavily API key is needed. Ask your assistant to research how heat pumps work, with three sources, an AI answer and full page content, or call search with:

{
"query": "How do heat pumps work?",
"search_depth": "basic",
"max_results": 3,
"include_answer": "basic",
"include_raw_content": "markdown"
}

Open the actor for connection details. This example explicitly enables the AI answer and Markdown page content. Queries are sent through MCP; the actor input form needs no search configuration.

Charges follow search units used. Advanced search uses more units than Basic; answers may add units. Check the Pricing tab for current rates and plan discounts.

Clearpath · Search & Research
 Tavily MCP
You are here
 Tavily Search
Research exports
 Brave Search
Web, news & media
 AI Overview
Answers & sources

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

clearpath/tavily-search-mcp on Apify (Standby actor). Base URL: https://clearpath--tavily-search-mcp.apify.actor. Auth: Authorization: Bearer TOKEN. Endpoints: /mcp (MCP protocol). Full API spec: GET https://api.apify.com/v2/acts/clearpath~tavily-search-mcp/builds/default (Bearer TOKEN) → readme, actorDefinition. Get token: https://console.apify.com/account/integrations

Tool

1 tool available to connected AI agents:

  • search
    • Search the web using Tavily's AI search engine. Returns ranked results with relevance scores, snippets, and optional AI-generated answers, images, and full page content.
    • Inputs:
      • query (string, required): Search query text
      • search_depth (string, optional): "ultra-fast", "fast", "basic", or "advanced" (default "basic")
      • max_results (number, optional): 1-20 (default 5)
      • topic (string, optional): "general" or "news" (default "general")
      • include_answer (string, optional): "false", "basic", or "advanced" (default "false")
      • time_range (string, optional): "day", "week", "month", or "year"
      • start_date (string, optional): Results after this date (YYYY-MM-DD)
      • end_date (string, optional): Results before this date (YYYY-MM-DD)
      • exact_match (boolean, optional): Exact phrase match only (default false)
      • include_domains (array, optional): Only search these domains
      • exclude_domains (array, optional): Exclude these domains
      • country (string, optional): Boost results from this country
      • include_raw_content (string, optional): "false", "markdown", or "text" (default "false")
      • include_images (boolean, optional): Include image results (default false)
      • include_image_descriptions (boolean, optional): AI descriptions for images (default false)
      • chunks_per_source (number, optional): 1-3, advanced depth only (default 3)
    • See the Pricing tab for current search-unit charges.

Output Example

Output Example

{
"query": "best AI frameworks 2026",
"answer": "The most widely adopted AI frameworks in 2026 span deep-learning libraries, traditional machine-learning toolkits, and specialized agent-orchestration platforms: PyTorch and TensorFlow (with its high-level Keras API) remain the backbone for building and scaling neural-network models, while Scikit-learn...",
"follow_up_questions": null,
"images": [
{
"url": "https://scalevista.com/wp-content/uploads/2025/12/Best-AI-Frameworks-for-Developers.webp",
"description": "A list of the top 10 AI frameworks for developers in January 2026, featuring tools like TensorFlow, PyTorch, Keras, and others."
}
// ... 4 more images
],
"results": [
{
"url": "https://www.kellton.com/kellton-tech-blog/ai-tech-stack-2026",
"title": "AI Tech Stack 2026: Frameworks, MLOps & IDEs Guide - Kellton",
"content": "Integrated Development Environments specialized for AI development accelerate coding, debugging, and experimentation. Top IDEs for AI development in 2026...",
"score": 0.9486564,
"raw_content": "# AI Tech Stack 2026: Frameworks, MLOps, and IDEs reshaping AI Development\n\n[AI/ML](https://www.kellton.com/ai-ml)\n\nJanuary 15, 2026...",
"favicon": "https://www.kellton.com/themes/custom/kellton_theme/favicon.ico"
}
// ... 4 more results
]
}

Quick Start

"Search for the best restaurants in Berlin"
"Search for latest AI news from the past week"

Deep search with AI answer

"Search for Python async best practices with an advanced AI answer"
"Search reddit.com and github.com for FastAPI authentication examples"

How It Works

  1. Agent connects to the MCP server endpoint
  2. Searches using the search tool with any combination of parameters
  3. Gets results structured for easy consumption by the AI agent

No Tavily API key needed. The server handles everything.


Pricing

See the Pricing tab for current search-unit charges and plan discounts.

Basic, Fast and Ultra-fast searches normally use one search unit. Advanced uses two. AI-generated answers may use additional units; billing follows the units used by the request.


Configuration

No configuration required. The server works out of the box.

Replace YOUR_APIFY_TOKEN in all examples below with your Apify API token.

Usage with ChatGPT

ChatGPT supports MCP servers natively (Plus, Pro, Team, Enterprise plans).

  1. Open Settings > Connectors > Add connector
  2. Set Name to Tavily Search
  3. Set MCP Server URL to:
https://clearpath--tavily-search-mcp.apify.actor/mcp
  1. Set Authentication to API Key and set the header:
    • Header name: Authorization
    • Value: Bearer YOUR_APIFY_TOKEN
  2. Click Save
  3. Start a new chat, click + near the composer, select More, choose Tavily Search

Usage with Claude Desktop

Add to your claude_desktop_config.json:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"tavily-search": {
"type": "http",
"url": "https://clearpath--tavily-search-mcp.apify.actor/mcp",
"headers": {
"Authorization": "Bearer YOUR_APIFY_TOKEN"
}
}
}
}

Restart Claude Desktop after saving.

Usage with Claude Code

claude mcp add --transport http --scope user tavily-search \
--header "Authorization: Bearer YOUR_APIFY_TOKEN" \
https://clearpath--tavily-search-mcp.apify.actor/mcp

Or add to your project's .mcp.json:

{
"mcpServers": {
"tavily-search": {
"type": "http",
"url": "https://clearpath--tavily-search-mcp.apify.actor/mcp",
"headers": {
"Authorization": "Bearer ${APIFY_TOKEN}"
}
}
}
}

Usage with OpenClaw

Add to ~/.openclaw/openclaw.json:

{
"provider": {
"mcpServers": {
"tavily-search": {
"url": "https://clearpath--tavily-search-mcp.apify.actor/mcp",
"headers": {
"Authorization": "Bearer YOUR_APIFY_TOKEN"
}
}
}
}
}

Then message your OpenClaw bot on Telegram, WhatsApp, or Discord:

"Search for the latest news about AI regulation"

"Find me recent articles about climate change from the past month"

Other MCP Clients

Any client supporting the Streamable HTTP transport works. Use the MCP endpoint URL with your Apify API token as a Bearer auth header.


FAQ

Do I need a Tavily API key? No. No Tavily API key or Tavily account required. The server handles everything.

What's the difference between search depths? Ultra-fast and fast prioritize speed. Basic balances speed and relevance. Advanced provides the best relevance with multi-source content chunks.

What countries are supported? 195 countries. The country parameter boosts results from the specified country (general topic only).

Can I get full page content? Yes. Set include_raw_content to "markdown" or "text" to get the full parsed content of each result page.

How is this different from the Tavily Search API actor? The API actor runs as a batch job and stores results in a dataset. This MCP server provides real-time search as tool calls for AI agents.

Can I use this without an AI assistant? Yes. Any MCP client works. You can also call tools programmatically via any MCP SDK.


Support


Search the web through AI agents. Get ranked results, AI answers, and full page content powered by Tavily.