MCP Tavily Extract

Name: MCP Tavily Extract
Author: algonacci

@algonacci

リポジトリ

MCP Tavily Extract について

MCP server to give client the ability to extract a web page

#mcp-tavily #web-extraction #mcp-server

基本情報

カテゴリ

検索

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

algonacci

投稿者

Algonacci Dev

設定

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

ツールは検出されませんでした

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。

概要

What is MCP Tavily Extract?

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.

How to use MCP Tavily Extract?

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.

Key features of MCP Tavily Extract

Enables web page extraction via the MCP protocol
Uses Tavily’s API for reliable content scraping
Simple setup using uv and a Python script
Requires only a Tavily API key for authentication

Use cases of MCP Tavily Extract

An AI assistant extracts article content from a URL to answer user questions
Automate data collection from web pages for analysis or summarisation
Provide rich context from web pages to large language models during a conversation
Integrate web scraping directly into MCP‑based workflows

FAQ from MCP Tavily Extract

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.

How do I configure MCP Tavily Extract?

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.

What runtime does it require?

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.

Where can I get a Tavily API key?

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.

Are there any known limitations?

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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