What does MCP Tavily Extract do?
It enables an MCP client to extract the textual content of a web page, presumably by calling the Tavily Extract API through the server.
@algonacci
基本情報
MCP server to give client the ability to extract a web page
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": {
"tavily_extract": {
"command": "uv",
"args": [
"--directory",
"%USERPROFILE%/Documents/GitHub/mcp-tavily-extract",
"run",
"python",
"main.py"
]
}
}
}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。
MCP Tavily Extract is an MCP server that gives an AI client the ability to extract a web page. It relies on a Tavily API key and is intended for developers building MCP‑powered tools that need to fetch and parse web content.
Add the server configuration to your MCP config file, pointing to the local directory containing main.py and using uv as the command. Provide your TAVILY_API_KEY in a .env file. The server then exposes extraction functionality to any MCP client.
uv and a Python scriptIt enables an MCP client to extract the textual content of a web page, presumably by calling the Tavily Extract API through the server.
Add the JSON block shown in the README to your MCP config file, replacing the path with your local clone. Then create a `.env` file with `TAVILY_API_KEY=your_key` in the same directory as `main.py`.
Python and `uv` (the Python package and project manager) must be installed on your system. The server runs as a Python script started by `uv`.
You need to sign up for a Tavily account at tavily.com. The key must be placed in the `.env` file; the server does not distribute or provide a key.
The README does not mention any limits on page size, request frequency, or supported content types. For details, consult the Tavily API documentation.
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