What environment variable is required?
You must set `TAVILY_API_KEY` to your Tavily API key. Optionally set `PYTHONIOENCODING` to `utf-8`.
@Tomatio13
基本情報
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
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-server-tavily": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"tavily-search",
"--client",
"claude"
]
}
}
}Performs searches based on specified queries
tavily-search is an MCP server that integrates the Tavily API, enabling AI assistants such as Claude Desktop and Cursor to perform web searches. It returns search results as text, including AI-generated answers, URIs, and titles of the results.
Install by cloning the repository, configuring your MCP client (e.g., Claude Desktop) with your TAVILY_API_KEY in the environment variables, and restarting the client. The server exposes a single tool named search, which requires a query argument and accepts an optional search_depth (basic or advanced). You can also install via Smithery or run in a local Docker Compose environment.
You must set `TAVILY_API_KEY` to your Tavily API key. Optionally set `PYTHONIOENCODING` to `utf-8`.
On Windows, logs are stored in `C:\Users\[username]\AppData\Roaming\Claude\logs\mcp-server-tavily-search`. The location for other operating systems is not specified in the README.
Yes, you can run it using Docker Compose. The README provides instructions for setting up a local client in a Docker container.
The `search` tool requires a `query` (string) and accepts an optional `search_depth` (string with values `basic` or `advanced`).
Yes, you can create a shell script that sets the environment variables and runs the server via `uv`, then configure Cursor’s MCP server settings to execute that script.

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