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Tavily

Taivily APIを利用するMCP Serverです。Officialが提供される前に開発しました

Unclaimed MIT last commit a year ago search
54Fair

Scored 2 days ago · breakdown

About Tavily

Tavily is an MCP server published by Tomatio13 in the Analytics category: taivily APIを利用するMCP Serverです。Officialが提供される前に開発しました.

The repository has 50 stars and 9 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

Claude Code
claude mcp add tavily -- npx -y @mcptools/mcp-tavily
npx
npx -y @mcptools/mcp-tavily

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Tavily

Powered by Claude · Grounded in docs

I know everything about Tavily. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository yesterday. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

tavily-search MCP server

A MCP server project

Trust Score

Components

This server uses the Tavily API to perform searches based on specified queries.

  • Search results are returned in text format.
  • Search results include AI responses, URIs, and titles of the search results.

Tools

This server implements the following tools:

  • search: Performs searches based on specified queries
    • Required argument: "query"
    • Optional argument: "search_depth" (basic or advanced)

Installing via Smithery

To install Tavily Search for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install tavily-search --client claude

Install

  1. Download the repository.
git clone https://github.com/Tomatio13/mcp-server-tavily.git
  1. Open the Claude Desktop configuration file.
On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`
On Windows: `C:\Users\[username]\AppData\Roaming\Claude\claude_desktop_config.json`
  1. Edit the configuration file as follows:
"mcpServers": {
  "tavily-search": {
    "command": "uv",
    "args": [
      "--directory",
      "C:\\your_path\\mcp-server-tavily",
      "run",
      "tavily-search"
    ],
    "env": {
      "TAVILY_API_KEY": "YOUR_TAVILY_API_KEY",
      "PYTHONIOENCODING": "utf-8"
    }
  }
}
  1. Restart Claude Desktop.

Usage

In Claude Desktop, when you ask "Please search for something", you will receive search results.

Search example:

Please search in detail for today's events in Kamakura

Response example:

According to the search results, the following events start today, December 1st:
"Kamakura Promotion Photo Contest 2025"
Period: December 1, 2024 - January 31, 2025
A photo contest for those who love Kamakura
Applications start accepting from today
Also, as a related upcoming event:
On December 7th, an exhibition by 12 Kamakura artists will be held at the Seibu Press Inn Kamakura Ofuna Station East Exit Lounge.

Log Storage Location

Logs are stored in the following location:

For Windows:

C:\Users\[username]\AppData\Roaming\Claude\logs\mcp-server-tavily-search

Execution with Cursor

  1. Create a shell script (e.g., script.sh) as shown below:
#!/bin/bash
TARGET_DIR=/path/to/mcp-server-tavily
cd "${TARGET_DIR}"
export TAVILY_API_KEY="your-api-key"
export PYTHONIOENCODING=utf-8
uv --directory $PWD run tavily-search
  1. Configure Cursor's MCP Server settings as follows:
Name: tavily-search
Type: command
Command: /path/to/your/script.sh
  1. Save the settings.

  2. Once the settings are saved, you can ask Cursor's Composer-Agent to "search for something," and it will return the search results.

Running in Local Environment Using Docker Compose

Purpose

For operating systems other than Windows/MacOS where Claude Desktop cannot be used, this section explains how to set up and run an MCP server and client in a local environment using Docker compose.

Steps

  1. Install Docker.
  2. Download the repository.
git clone https://github.com/Tomatio13/mcp-server-tavily.git
  1. Run Docker compose.
docker compose up -d
  1. Execute the client.
docker exec mcp_server uv --directory /usr/src/app/mcp-server-tavily/src run client.py
  1. Execution Results
  2. After searching for available tools as shown below, a query will be issued to Tavily and a response will be returned:
2024-12-01 11:21:56,930 - tavily-search-server - INFO - Starting Tavily search server
2024-12-01 11:21:56,932 - tavily-search-server - INFO - Server initialized, starting main loop
2024-12-01 11:21:56,936 - mcp.server - INFO - Processing request of type ListToolsRequest
2024-12-01 11:21:56,936 - tavily-search-server - INFO - Listing available tools
利用可能なツール: nextCursor=None tools=[Tool(name='search', description='Search the web using Tavily API', inputSchema={'type': 'object', 'properties': {'query': {'type': 'string', 'description': 'Search query'}, 'search_depth': {'type': 'string', 'description': 'Search depth (basic or advanced)', 'enum': ['basic', 'advanced']}}, 'required': ['query']})]
2024-12-01 11:21:56,937 - mcp.server - INFO - Processing request of type CallToolRequest
2024-12-01 11:21:56,937 - tavily-search-server - INFO - TOOL_CALL_DEBUG: Tool called - name: search, arguments: {'query': '今日の東京タワーのイベントを教えて下さい'}
2024-12-01 11:21:56,937 - tavily-search-server - INFO - Executing search with query: '今日の東京タワーのイベントを教えて下さい'
2024-12-01 11:22:00,243 - httpx - INFO - HTTP Request: POST https://api.tavily.com/search "HTTP/1.1 200 OK"
2024-12-01 11:22:00,243 - tavily-search-server - INFO - Search successful - Answer generated
2024-12-01 11:22:00,243 - tavily-search-server - INFO - Search successful - Results available
ツール実行結果: content=[TextContent(type='text', text='AI Answer:\n今日の東京タワーのイベントは以下の通りです:\n1. Candlelight: エド・シーランとコールドプレイのヒットメドレー - 12月01日\n2. チームラボプラネッツ TOKYO - 12月01日から1月21日\n\n他にもイベントがある可能性がありますので、公式ウェブサイト等で最新情報をご確認ください。\n\n\n\nSearch Results:\n\n1. 東京タワー (東京): 現在のイベントとチケット | Fever\nURL: https://feverup.com/ja/tokyo/venue/tokyo-tower\nSummary: Summary not found\n\n\n2. 東京タワー(東京都)の施設で開催するイベント一覧|ウォーカープラス\nURL: https://www.walkerplus.com/spot/ar0313s03867/e_list.html\nSummary: Summary not found\n\n\n3. 東京タワー - Tokyo Tower\nURL: https://www.tokyotower.co.jp/event/\nSummary: Summary not found\n')] isError=False

README fetched from the repository yesterday. The original is authoritative.

Questions

About Tavily

How do I install Tavily?

Run claude mcp add tavily -- npx -y @mcptools/mcp-tavily, then add the server to your MCP client's configuration.

Is Tavily safe to use with an AI agent?

Its trust score is 54 out of 100 (fair). It passes 4 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Tavily still maintained?

The last commit was a year ago and 1 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.