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MCP Tavily Extract

@algonacci

代码仓库

关于 MCP Tavily Extract

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

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

基本信息

分类

搜索

许可证

MIT

运行时

python

传输方式

stdio

发布者

algonacci

提交者

Algonacci Dev

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "tavily_extract": {
      "command": "uv",
      "args": [
        "--directory",
        "%USERPROFILE%/Documents/GitHub/mcp-tavily-extract",
        "run",
        "python",
        "main.py"
      ]
    }
  }
}

工具

未检测到工具

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。

概览

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.

评论

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