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Web Fetcher

作者:vojtisprime11版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.vojtisprime11/web-fetcher

安装

概览

作者提供的说明(英文原文)

Turns any web page into clean Markdown, page metadata and classified links for LLMs.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 网页与浏览器

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: WEB_FETCHER_TIMEOUT_MS, WEB_FETCHER_MAX_BYTES, WEB_FETCHER_USER_AGENT, WEB_FETCHER_ALLOW_PRIVATE_HOSTS, WEB_FETCHER_RESPECT_ROBOTS

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "web-fetcher": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-web-fetcher"
      ],
      "env": {
        "WEB_FETCHER_TIMEOUT_MS": "your-value",
        "WEB_FETCHER_MAX_BYTES": "your-value",
        "WEB_FETCHER_USER_AGENT": "your-value",
        "WEB_FETCHER_ALLOW_PRIVATE_HOSTS": "your-value",
        "WEB_FETCHER_RESPECT_ROBOTS": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add web-fetcher --env WEB_FETCHER_TIMEOUT_MS=your-value --env WEB_FETCHER_MAX_BYTES=your-value --env WEB_FETCHER_USER_AGENT=your-value --env WEB_FETCHER_ALLOW_PRIVATE_HOSTS=your-value --env WEB_FETCHER_RESPECT_ROBOTS=your-value -- npx -y mcp-server-web-fetcher

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "web-fetcher": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-web-fetcher"
      ],
      "env": {
        "WEB_FETCHER_TIMEOUT_MS": "your-value",
        "WEB_FETCHER_MAX_BYTES": "your-value",
        "WEB_FETCHER_USER_AGENT": "your-value",
        "WEB_FETCHER_ALLOW_PRIVATE_HOSTS": "your-value",
        "WEB_FETCHER_RESPECT_ROBOTS": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "web-fetcher": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-web-fetcher"
      ],
      "env": {
        "WEB_FETCHER_TIMEOUT_MS": "your-value",
        "WEB_FETCHER_MAX_BYTES": "your-value",
        "WEB_FETCHER_USER_AGENT": "your-value",
        "WEB_FETCHER_ALLOW_PRIVATE_HOSTS": "your-value",
        "WEB_FETCHER_RESPECT_ROBOTS": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • WEB_FETCHER_TIMEOUT_MS env
    Request timeout in milliseconds (1000-120000). Defaults to 15000.
  • WEB_FETCHER_MAX_BYTES env
    Maximum bytes downloaded per response. Defaults to 5000000.
  • WEB_FETCHER_USER_AGENT env
    User-Agent header sent with every request.
  • WEB_FETCHER_ALLOW_PRIVATE_HOSTS env
    Set to true to allow fetching loopback and private network addresses. Disables the SSRF guard.
  • WEB_FETCHER_RESPECT_ROBOTS env
    Set to true to enforce robots.txt before fetching.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 vojtisprime11 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“网页与浏览器”中的其他服务器比较i

  • 星标数多于此分类中其他 1399 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1399 个服务器的 20% 更新
  • 基础检查结果等于或优于此分类中其他 1399 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Web Fetcher 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于3个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Browser Use, Chrome DevTools MCP, MCP Server Browser

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Browser Use

Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.

作者:browser-use广泛使用↓ 155.2万/周★ 12万19天前更新

电脑或云端✓ browser-use.com

Chrome DevTools MCP

MCP server for Chrome DevTools

作者:ChromeDevTools广泛使用↓ 188.4万/周★ 5.5万18天前更新

在你的电脑上运行

MCP Server Browser

MCP server for browser use access

作者:bytedance广泛使用↓ 792/周★ 4万14个月前更新

在你的电脑上运行

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

mcp-server-web-fetcher

A fast, dependency-light Model Context Protocol server that turns any web page into something a language model can actually read: clean Markdown, structured metadata, and a classified list of links.

Web pages are 90% chrome. Scripts, cookie banners, navigation, sidebars and tracking pixels burn context and derail reasoning. This server strips all of that on the way in, so the model sees the article and nothing else.

┌────────────┐   stdio/JSON-RPC   ┌──────────────────────┐   HTTPS   ┌──────────┐

│ MCP client │ ─────────────────► │ mcp-server-web- │ ────────► │ web page │ │ (Claude, │ ◄───────────────── │ fetcher │ ◄──────── │ │ │ Kiro, …) │ Markdown + JSON │ fetch → clean → md │ └──────────┘ └────────────┘ └──────────────────────┘

Features

  • Clean Markdown output. Readability-style main-content detection, GFM tables, language-tagged code fences, absolute links. No leftover HTML, even for gnarly nested tables.
  • Context-window aware. Long pages are paginated with startIndex / nextStartIndex instead of being silently cut in half.
  • Structured metadata. Title, description, canonical, lang, author, publish/modify dates, Open Graph, Twitter cards, JSON-LD, hreflang alternates, RSS/Atom feeds, h1–h6 outline and raw HTTP headers.
  • Link intelligence. Absolute URLs, anchor text, rel, nofollow, internal vs external classification, scope filters, de-duplication.
  • SSRF hardening. Loopback, private, link-local and cloud-metadata addresses are blocked on _every_ redirect hop, not just the first request. Credentials in URLs are stripped.
  • Predictable failures. Every error carries a stable machine-readable code (TIMEOUT, HTTP_ERROR, BLOCKED_HOST, RESPONSE_TOO_LARGE, …), a retryability flag and a recovery hint, so the model can self-correct instead of guessing.
  • Typed end to end. Strict Zod input schemas plus published outputSchema, so clients get validated structuredContent, not prose they have to re-parse.
  • Well behaved. Byte caps, timeouts, redirect limits, charset sniffing (including legacy encodings), a small TTL cache, transient-failure retries and optional robots.txt enforcement.
  • 115 tests, no network required. Vitest unit tests plus in-memory MCP protocol tests.

Quickstart

Requires Node.js 20.18.1 or newer (inherited from cheerio, which needs undici 7).

# run it without installing

npx -y mcp-server-web-fetcher

or install globally

npm install -g mcp-server-web-fetcher mcp-server-web-fetcher

The server speaks MCP over stdio, so on its own it just waits for a client. Point a client at it:

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows:

{

"mcpServers": { "web-fetcher": { "command": "npx", "args": ["-y", "mcp-server-web-fetcher"] } } }

With configuration, using a global install:

{

"mcpServers": { "web-fetcher": { "command": "mcp-server-web-fetcher", "env": { "WEB_FETCHER_TIMEOUT_MS": "20000", "WEB_FETCHER_RESPECT_ROBOTS": "true" } } } }

Restart Claude Desktop, then ask it to summarise a URL.

Claude Code
claude mcp add web-fetcher -- npx -y mcp-server-web-fetcher
Kiro, Cursor, Windsurf and other MCP clients

Same shape, in .kiro/settings/mcp.json / the client's MCP config file:

{

"mcpServers": { "web-fetcher": { "command": "npx", "args": ["-y", "mcp-server-web-fetcher"], "disabled": false, "autoApprove": ["fetch_page_markdown", "extract_metadata", "extract_links"] } } }

MCP Registry

The server is listed in the official MCP Registry as io.github.vojtisprime11/web-fetcher, so clients that read the registry can discover it directly:

curl "https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.vojtisprime11/web-fetcher"
Docker
docker build -t mcp-server-web-fetcher .
{

"mcpServers": { "web-fetcher": { "command": "docker", "args": ["run", "--rm", "-i", "mcp-server-web-fetcher"] } } }

The image runs as the unprivileged node user and carries production dependencies only. CI builds it and drives it with a real MCP client, so it is verified to start and answer introspection.

From source
git clone https://github.com/vojtisprime11/mcp-server-web-fetcher.git

cd mcp-server-web-fetcher npm install npm run build node dist/index.js # or: npm run inspect

{

"mcpServers": { "web-fetcher": { "command": "node", "args": ["/absolute/path/to/mcp-server-web-fetcher/dist/index.js"] } } }

Tools

All three tools are read-only, idempotent and open-world (annotated as such in the protocol), and all take an absolute http(s) URL.

fetch_page_markdown

Downloads a page and returns clean, LLM-friendly Markdown.

ParameterTypeDefaultDescription
urlstringrequiredAbsolute http(s) URL.
maxLengthinteger 500–100000025000Markdown characters to return per call.
startIndexinteger ≥ 00Character offset; use nextStartIndex from the previous call.
mainContentOnlybooleantrueDrop nav/header/footer/sidebar, keep the densest block.
includeLinksbooleantrueKeep Markdown links (false inlines the text only).
includeImagesbooleanfalseKeep images as .
includeMetadatabooleantrueAttach a short metadata summary.
timeoutMsinteger 1000–120000env / 15000Per-request timeout.

Request:

{

"name": "fetch_page_markdown", "arguments": { "url": "https://example.com/blog/caching", "maxLength": 8000, "mainContentOnly": true, "includeImages": false } }

structuredContent:

{

"url": "https://example.com/blog/caching", "requestedUrl": "https://example.com/blog/caching", "status": 200, "contentType": "text/html; charset=utf-8", "title": "How caching works", "markdown": "# How caching works\n\nCaching is the art of not doing work twice...", "markdownLength": 7984, "totalLength": 21874, "startIndex": 0, "endIndex": 7984, "nextStartIndex": 7984, "truncated": true, "wordCount": 1203, "bytesDownloaded": 148213, "elapsedMs": 412, "fromCache": false, "redirects": [], "metadata": { "title": "How caching works", "description": "A deep dive into HTTP caching.", "canonical": "https://example.com/blog/caching", "language": "en", "author": "Ada Lovelace", "publishedTime": "2026-01-15T09:00:00Z" } }

To read the rest, call again with "startIndex": 7984. Keep going while nextStartIndex is not null.

extract_metadata

Everything a model needs to classify a page, without spending context on its body.

ParameterTypeDefaultDescription
urlstringrequiredAbsolute http(s) URL.
includeJsonLdbooleantrueInclude parsed JSON-LD blocks (malformed ones are skipped).
includeHeadingsbooleantrueInclude the h1–h6 outline.
includeHttpHeadersbooleantrueInclude response headers, lower-cased.
timeoutMsinteger 1000–120000env / 15000Per-request timeout.
{

"name": "extract_metadata", "arguments": { "url": "https://example.com/blog/caching", "includeJsonLd": true } }

structuredContent (abridged):

{

"url": "https://example.com/blog/caching", "status": 200, "charset": "utf-8", "title": "How caching works", "description": "A deep dive into HTTP caching.", "canonical": "https://example.com/blog/caching", "language": "en", "author": "Ada Lovelace", "publishedTime": "2026-01-15T09:00:00Z", "modifiedTime": null, "robots": "index, follow", "favicon": "https://example.com/favicon.ico", "openGraph": { "title": "How caching works", "type": "article", "image": "https://example.com/img/cover.png" }, "twitter": { "card": "summary_large_image", "site": "@example" }, "alternates": [{ "hreflang": "de", "href": "https://example.com/de/blog/caching" }], "feeds": [ { "title": "Feed", "href": "https://example.com/feed.xml", "type": "application/rss+xml" } ], "jsonLd": [{ "@type": "Article", "headline": "How caching works" }], "headings": [ { "level": 1, "text": "How caching works", "id": null }, { "level": 2, "text": "Directives", "id": "directives" } ], "httpHeaders": { "content-type": "text/html; charset=utf-8", "x-cache": "HIT" }, "wordCount": 1203, "redirects": [], "fromCache": false }

extract_links
ParameterTypeDefaultDescription
urlstringrequiredAbsolute http(s) URL.
scopeall \internal \externalallSame-site, off-site, or both.
includeAnchorsbooleanfalseInclude in-page #fragment links.
deduplicatebooleantrueCollapse repeated URLs.
limitinteger 1–2000200Maximum links returned.
timeoutMsinteger 1000–120000env / 15000Per-request timeout.
{

"name": "extract_links", "arguments": { "url": "https://example.com/blog/caching", "scope": "external", "limit": 50 } }

structuredContent:

{

"url": "https://example.com/blog/caching", "status": 200, "totalFound": 2, "returned": 2, "internalCount": 0, "externalCount": 2, "truncated": false, "links": [ { "url": "https://developer.mozilla

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