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Mult Fetch MCP Server

@lmcc-dev

代码仓库

基本信息

分类

浏览器自动化

许可证

MIT

传输方式

stdio

作者

lmcc-dev

提交者

lmcc

关于 Mult Fetch MCP Server

A versatile MCP-compliant web content fetching tool that supports multiple modes (browser/node), formats (HTML/JSON/Markdown/Text), and intelligent proxy detection, with bilingual interface (English/Chinese).

#fetch#browser#ai#proxy#mcp#cursor#claude

Mult Fetch MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mult-fetch-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@lmcc-dev/mult-fetch-mcp-server",
        "--client",
        "claude"
      ]
    }
  }
}

Mult Fetch MCP Server 工具

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。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is mult-fetch-mcp-server?

mult-fetch-mcp-server is an MCP (Model Context Protocol)-compliant server that enables AI assistants to fetch and process web content. It supports multiple scraping methods (HTML, JSON, Markdown, plain text), intelligent content extraction, automatic chunking of large content, and bilingual English/Chinese interface.

How to use mult-fetch-mcp-server?

Install globally via pnpm add -g @lmcc-dev/mult-fetch-mcp-server or run directly with npx @lmcc-dev/mult-fetch-mcp-server. Integrate with Claude Desktop by adding a server configuration in claude_desktop_config.json using the npx method. Then restart Claude and use tools like fetch_html, fetch_json, fetch_txt, fetch_markdown, or fetch_plaintext.

Key features of mult-fetch-mcp-server

  • Multiple web scraping methods: HTML, JSON, text, Markdown, plain text
  • Intelligent content extraction using Mozilla's Readability library
  • Automatic content size management and chunked retrieval
  • Bilingual internationalization (English and Chinese)
  • Support for Standard Input/Output (Stdio) transport
  • Browser automation enhancements: scrolling, cookie management, selector waiting

Use cases of mult-fetch-mcp-server

  • AI assistants fetching web page text for summarization or analysis
  • Retrieving JSON data from APIs within conversational workflows
  • Extracting clean Markdown from articles for further processing
  • Accessing large content that exceeds context limits via chunked retrieval

常见问题

1

What transport method does mult-fetch-mcp-server use?

It implements the Standard Input/Output (Stdio) transport method as defined by the MCP specification.

2

What are the runtime dependencies?

It requires Node.js (version indicated by Node.js badge) and is available as an npm package. For browser-based fetching, it manages a browser instance internally.

3

How can I set the language?

Set the `MCP_LANG` environment variable to `en` (English) or `zh` (Chinese). Default falls back to OS language then English.

4

How does content chunking work?

Large content is automatically split into manageable chunks. Clients can request specific chunks using parameters like `startCursor` and `contentSizeLimit`, and the demo client supports `--all-chunks` for sequential retrieval.

5

How do I enable debug logs?

Pass `"debug": true` in the tool call parameters. Debug messages are written to stderr and also to a log file when debug mode is active.

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