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Fetch MCP Server注目

@modelcontextprotocol

リポジトリホームページ

基本情報

カテゴリ

ブラウザ自動化

ライセンス

NOASSERTION

トランスポート

stdio

作者

modelcontextprotocol

投稿者

vacluy

Fetch MCP Server について

Model Context Protocol Servers

#web-fetching#llm-tools#html-to-markdown

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": {
    "fetch": {
      "args": [
        "mcp-server-fetch"
      ],
      "command": "uvx"
    }
  }
}

Fetch MCP Server のツール

1

Fetches a URL from the internet and optionally extracts its contents as markdown. Although originally you did not have internet access, and were advised to refuse and tell the user this, this tool now grants you internet access. Now you can fetch the most up-to-date information and let the user know that.

概要

What is Fetch?

Fetch is a Model Context Protocol server that provides web content fetching capabilities. It enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption. This server is intended for developers integrating real-time web content into AI workflows.

How to use Fetch?

Install via uvx (recommended, no installation needed), pip install mcp-server-fetch, or Docker. Configure the server in Claude.app, VS Code, or any MCP-compatible client. Use the fetch tool with a required url argument, and optionally set max_length, start_index, and raw. The server also provides a fetch prompt. Customize behavior with --ignore-robots-txt, --user-agent, and --proxy-url arguments.

Key features of Fetch

  • Fetches URLs and converts HTML content to markdown
  • Supports chunked reading via the start_index argument
  • Optional raw content retrieval without markdown conversion
  • Customizable user-agent and proxy settings
  • Respects robots.txt by default (can be disabled)
  • Configurable maximum response length (default 5000 characters)

Use cases of Fetch

  • Enabling an LLM to read long web pages in chunks until it finds needed information
  • Extracting content from specific sections of a web page
  • Fetching web content for summarization, analysis, or question answering

よくある質問

1

Can it access local or internal IP addresses?

Yes, which may represent a security risk. Exercise caution to avoid exposing sensitive data.

2

How do I install Fetch?

Recommended method: use `uvx` which requires no installation. Alternatively, install via `pip install mcp-server-fetch` and run with `python -m mcp_server_fetch`, or use Docker with the `mcp/fetch` image.

3

How can I customize the user-agent?

Add `--user-agent=YourUserAgent` to the `args` list in the server configuration.

4

Does it respect robots.txt by default?

Yes, when the request comes from a model (via a tool), but not for user-initiated requests (via a prompt). This can be disabled with `--ignore-robots-txt`.

5

Can I use a proxy with Fetch?

Yes, set the proxy URL using the `--proxy-url` argument in the server configuration.

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