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)
Look up domain reputation snapshots and AI crawler policy from Domduck's public store.
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.
You 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": {
"domaintrack": {
"command": "npx",
"args": [
"-y",
"@reneturcios/domaintrack",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add domaintrack -- npx -y @reneturcios/domaintrack mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"domaintrack": {
"command": "npx",
"args": [
"-y",
"@reneturcios/domaintrack",
"mcp"
]
}
}
}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": {
"domaintrack": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/domaintrack",
"mcp"
]
}
}
}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.
These 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 6, 2026
The registry name was verified with the GitHub account CloudCorpRecords, 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 2 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker 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:★ 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.
MCP server for browser use access
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.
domaintrack looks up what is publicly known about a domain: its reputation snapshot, the AI crawler policy its robots.txt sets, and the list of data sources those answers are built from.
It is a forwarding client, not a data store. The answers live in Domduck's public store and are served by its keyless public endpoint; this package carries the endpoint's three-tool surface, serves the tool list locally, and forwards each call upstream, returning the upstream answer exactly as it arrives. There is no account and no API key: the public endpoint is the whole surface. Domduck's authenticated endpoint, with its dated history series, is separate and is not touched here — this client sends no credentials of any kind.
One behaviour is worth knowing before you automate against it: asking about a domain nobody has looked up yet is not an error. The snapshot comes back with hasReading set to false, which is the store honestly saying it holds no reading for that name yet.
lookup_domain — the stored reputation snapshot for one domain: Domain Rating, Tranco rank, OpenPageRank, registration date, TLS certificate state and AI crawler policy. Requires domain.get_ai_crawler_policy — for each of the eight tracked AI crawlers, whether the domain's robots.txt allows it, blocks it, or never mentions it, plus whether an llms.txt is published. Requires domain.list_sources — the catalogue of sources behind the other two tools and what each one means. No arguments; read it first if a snapshot field is unfamiliar.npx @reneturcios/domaintrack lookup_domain '{"domain":"example.com"}'
npx @reneturcios/domaintrack get_ai_crawler_policy '{"domain":"example.com"}' npx @reneturcios/domaintrack list_sources npx @reneturcios/domaintrack --version
Each tool subcommand forwards one call and prints the result content as JSON. Exit codes: 0 on success, 1 when the upstream call comes back as an error result, 2 on a usage error (unknown subcommand, malformed JSON argument).
npx @reneturcios/domaintrack mcp
MCP client configuration:
{
"mcpServers": { "domaintrack": { "command": "npx", "args": ["-y", "@reneturcios/domaintrack", "mcp"] } } }
The server answers tools/list itself and forwards every tools/call to the public endpoint over a Streamable HTTP session (initialize, then notifications/initialized, then the call), reusing the session — and its Mcp-Session-Id, when the endpoint issues one — for the life of the process.
Failures on the wire are reported in this package's own words, as a text result starting with domaintrack error: — a JSON-RPC error from upstream, a non-2xx HTTP status, an unparseable response body, or a failed request each map to that prefix followed by the detail.
docker run -i ghcr.io/cloudcorprecords/domaintrack # stdio MCP server
docker run --rm ghcr.io/cloudcorprecords/domaintrack lookup_domain '{"domain":"example.com"}'
DOMDUCK_MCP_URL — overrides the upstream endpoint, which defaults to https://domduck.com/api/mcp/public. (This override is a reconstruction on our side; the endpoint itself is the pinned public one.)npm install
npm run build # tsc -> dist/ npm test # node test runner via tsx; stubbed upstream, no network npm run dev # run the CLI from source
MIT — see LICENSE.