What are the prerequisites for MCP2Tavily?
Python 3.11 or higher, the UV package manager, and a valid Tavily API key are required.
@mcp2everything
基本情報
一个MCP服务器,让你的Claude Cline以及Langchain实现网络搜索功能。An MCP server that allows your Claude Cline and Langchain to implement network search functions.
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": {
"mcp2tavily": {
"command": "uv",
"args": [
"venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
MCP2Tavily is an MCP protocol server that enables web search functionality through the Tavily API. It is designed for developers using AI assistants like Claude who need to perform web searches via the Model Context Protocol.
Clone the repository, create a .env file with your Tavily API key, set up a virtual environment with UV, and install dependencies via uv sync. Then install as a Claude extension with fastmcp install mcp2tavily.py or test using MCP Inspector with fastmcp dev mcp2tavily.py. A manual JSON configuration is also provided for integration with Cline, Continue, and Claude.
search_web and search_web_infosearch_web_info includes Chinese-language descriptionsPython 3.11 or higher, the UV package manager, and a valid Tavily API key are required.
You must sign up for a Tavily account and generate an API key. The key is stored in the `TAVILY_API_KEY` environment variable.
No. MCP2Tavily itself does not store data; search queries are sent to the Tavily API and results are returned directly.
The README does not specify a transport protocol, but it uses the MCP standard and is invoked via FastMCP, which typically uses stdio or HTTP.
Yes. The README provides a JSON configuration example for integrating MCP2Tavily with Cline, Continue, and Claude by specifying the `uv` command and required arguments.

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