Mult Fetch MCP Server

@lmcc-dev

リポジトリ

基本情報

カテゴリ

ブラウザ自動化

ライセンス

MIT

トランスポート

stdio

作者

lmcc-dev

投稿者

lmcc

Mult Fetch MCP Server について

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 の設定

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

Mult Fetch MCP Server のツール

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。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

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

よくある質問

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

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

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.

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.

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.

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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