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Web Fetcher

by vojtisprime11version 0.1.0i★ –iRuns on your computer
Registry nameio.github.vojtisprime11/web-fetcher

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Web & browsers

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: WEB_FETCHER_TIMEOUT_MS, WEB_FETCHER_MAX_BYTES, WEB_FETCHER_USER_AGENT, WEB_FETCHER_ALLOW_PRIVATE_HOSTS, WEB_FETCHER_RESPECT_ROBOTS

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
      }
    }
  }
}

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • 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.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account vojtisprime11, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Web & browsersi

  • More stars than 0% of the other 1394 servers in this category
  • Published to the registry more recently than 20% of the other 1394 servers in this category
  • Basic checks equal to or better than 100% of the other 1394 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Web Fetcher safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Browser Use

Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.

by browser-useWidely used↓ 1.6M/wk★ 120.1KUpdated 19 days ago

Computer or cloud✓ browser-use.com

Chrome DevTools MCP

Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.

by ChromeDevToolsWidely used↓ 1.9M/wk★ 54.8KUpdated 18 days ago

Runs on your computer

MCP Server Browser

MCP server for browser use access

by bytedanceWidely used↓ 792/wk★ 39.6KUpdated 14 months ago

Runs on your computer

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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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