What are the prerequisites for MCP2Tavily?
Python 3.11 or higher, the UV package manager, and a valid Tavily API key are required.
@mcp2everything
基本信息
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp2tavily": {
"command": "uv",
"args": [
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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