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.
Description from the maker (original English)
Turns any web page into clean Markdown, page metadata and classified links for LLMs.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
WEB_FETCHER_TIMEOUT_MS, WEB_FETCHER_MAX_BYTES, WEB_FETCHER_USER_AGENT, WEB_FETCHER_ALLOW_PRIVATE_HOSTS, WEB_FETCHER_RESPECT_ROBOTSYou need
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-fetcherFill in the empty values before running it.
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.
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.
WEB_FETCHER_TIMEOUT_MS envWEB_FETCHER_MAX_BYTES envWEB_FETCHER_USER_AGENT envWEB_FETCHER_ALLOW_PRIVATE_HOSTS envWEB_FETCHER_RESPECT_ROBOTS envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account vojtisprime11, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser
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
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.
Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.
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.
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 │ └──────────┘ └────────────┘ └──────────────────────┘
startIndex / nextStartIndex instead of being silently cut in half.lang, author, publish/modify dates, Open Graph, Twitter cards, JSON-LD, hreflang alternates, RSS/Atom feeds, h1–h6 outline and raw HTTP headers.rel, nofollow, internal vs external classification, scope filters, de-duplication.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.outputSchema, so clients get validated structuredContent, not prose they have to re-parse.robots.txt enforcement.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
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:
~/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 mcp add web-fetcher -- npx -y mcp-server-web-fetcher
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"] } } }
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 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.
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"] } } }
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_markdownDownloads a page and returns clean, LLM-friendly Markdown.
| Parameter | Type | Default | Description |
|---|---|---|---|
url | string | required | Absolute http(s) URL. |
maxLength | integer 500–1000000 | 25000 | Markdown characters to return per call. |
startIndex | integer ≥ 0 | 0 | Character offset; use nextStartIndex from the previous call. |
mainContentOnly | boolean | true | Drop nav/header/footer/sidebar, keep the densest block. |
includeLinks | boolean | true | Keep Markdown links (false inlines the text only). |
includeImages | boolean | false | Keep images as . |
includeMetadata | boolean | true | Attach a short metadata summary. |
timeoutMs | integer 1000–120000 | env / 15000 | Per-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_metadataEverything a model needs to classify a page, without spending context on its body.
| Parameter | Type | Default | Description |
|---|---|---|---|
url | string | required | Absolute http(s) URL. |
includeJsonLd | boolean | true | Include parsed JSON-LD blocks (malformed ones are skipped). |
includeHeadings | boolean | true | Include the h1–h6 outline. |
includeHttpHeaders | boolean | true | Include response headers, lower-cased. |
timeoutMs | integer 1000–120000 | env / 15000 | Per-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| Parameter | Type | Default | Description | ||
|---|---|---|---|---|---|
url | string | required | Absolute http(s) URL. | ||
scope | all \ | internal \ | external | all | Same-site, off-site, or both. |
includeAnchors | boolean | false | Include in-page #fragment links. | ||
deduplicate | boolean | true | Collapse repeated URLs. | ||
limit | integer 1–2000 | 200 | Maximum links returned. | ||
timeoutMs | integer 1000–120000 | env / 15000 | Per-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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