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Crawl Census

by taylorsmithggversion 1.0.0i★ –iRuns in the cloud
Registry nameio.github.taylorsmithgg/crawl-census

Install

Overview

Description from the maker (original English)

Ask before you fetch: will this domain serve your crawler, refuse it, or charge it?

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 in the cloud
  • Transport: Streamable HTTP
  • 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 the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://crawlcensus.com/mcp

Run this in your terminal

claude mcp add --transport http crawl-census https://crawlcensus.com/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "crawl-census": {
      "url": "https://crawlcensus.com/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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "crawl-census": {
      "type": "http",
      "url": "https://crawlcensus.com/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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://crawlcensus.com/mcp

Menu names can differ slightly by plan and over time.

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.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account taylorsmithgg, 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Web & browsersi

  • More stars than 0% of the other 1384 servers in this category
  • Published to the registry more recently than 25% of the other 1384 servers in this category
  • Basic checks equal to or better than 100% of the other 1384 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 Crawl Census 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) 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. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

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 17 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.

crawl-census-client

Ask before you fetch. A drop-in client that stops your crawler spending requests on doors that are shut, and stops it routing around content someone is trying to sell.

Reading robots.txt answers one question and hides two others. Measured across 23,482 domains by Crawl Census:

  • 2,874 domains permit AI agents in robots.txt and then refuse those same agents at the network edge. A parser sees permission; the fetch returns 403. You pay for the round trip and get nothing.
  • 208 domains answer an AI user agent with `HTTP 402 Payment Required`. That is a price, not a refusal. Treating it as a block walks away from content the operator wants to sell you. Retrying around it takes something they are charging for.

No dependencies. No key required.

MCP server

The same measurement is exposed as a remote MCP server, so an agent can ask before it fetches rather than after it fails. Listed in the official MCP registry as io.github.taylorsmithgg/crawl-census.

{ "mcpServers": { "crawl-census": { "url": "https://crawlcensus.com/mcp" } } }
ToolAnswers
crawl_preflightwill these domains serve my agent, refuse it, or charge it?
agent_profilewhat does this census publish about my crawler, and how do I correct it?
census_factsthe headline findings as dated records with denominators and citation lines
site_reportthe stored audit for one domain
scan_sitemeasure a domain now
census_statscorpus-level totals

No authentication for read tools. Streamable HTTP.

Install

npm i github:taylorsmithgg/crawl-census-client

pip install git+https://github.com/taylorsmithgg/crawl-census-client

Use

import { politeFetch } from "crawl-census-client";

const r = await politeFetch("https://example.com/", { agent: "gptbot" }); if (r.skipped) console.log(r.verdict, r.reason); // disallow | refuse | pay else process(await r.response.text());

from crawl_census import polite_fetch

r = polite_fetch("https://example.com/", agent="gptbot") if r.skipped: print(r.verdict, r.reason) else: process(r.body)

Skipping is returned, not raised. It is the normal outcome for a large share of the web, and a crawl loop should be able to count skips without a try/except around every URL.

Split a queue before crawling it

One call per 1,000 domains instead of one per host:

const { crawl, skip, pay, unknown } = await partition(urls, { agent: "gptbot" });
p = partition(urls, agent="gptbot")

p.crawl, p.skip, p.pay, p.unknown

Or just take the file

For a fetcher that only needs a deny list in memory, skip the per-domain calls entirely:

curl https://crawlcensus.com/agents/gptbot/blocklist.txt   # one domain per line, commented header
const sync = await syncBlocklist("gptbot");   // full list once

if (sync.blocked.has(host)) skip(); setInterval(() => sync.refresh(), 3600_000); // then deltas only, a few hundred bytes

sync = BlocklistSync("gptbot")

if host in sync: skip() sync.refresh() # {'added': 3, 'removed': 1, 'size': 3310, 'cursor': ...}

The delta feed is https://crawlcensus.com/agents/ /changes.json?since= and each response carries next_since, so a long-running crawler stays current on a few hundred bytes an hour instead of re-downloading the list.

That file covers robots.txt only. Edge refusal and HTTP 402 are per-request behaviours and still need preflight or politeFetch.

What a crawl costs the census

Measured, not asserted. Twenty hosts fetched concurrently used to cost twenty preflight calls carrying one domain each; the same host requested three times at once cost three, because the cache only helps after the first lookup resolves. The anonymous allowance is 240 calls an hour, so a crawler hit its ceiling at 240 hosts when one call covers twenty-five.

politeFetch now shares work automatically: lookups issued in the same tick leave as one batched call, and concurrent lookups for the same host await a single request.

patternbeforenow
20 hosts, concurrent20 calls1 call of 20
1 host, 3 URLs, concurrent3 calls1 call
60 hosts, concurrent60 calls3 calls (25 / 25 / 10)
partition then fetch2 calls1 call

batchSize defaults to 25, the per-call cap without a key. Raise it with a Pro or Data key. batchWaitMs widens the coalescing window for concurrency that arrives in waves rather than all at once; the default of zero flushes on the next tick.

Paying, when an origin quotes a price

A pay verdict carries the amount when the origin named one:

const r = await politeFetch(url, { agent: "claudebot" });

if (r.verdict === "pay") console.log(r.price); // "USD 0.5", or null if none was quoted

Two things worth knowing. Most origins answering HTTP 402 name no amount at all, so price is usually null and the arrangement has to be made out of band. And pricing is per crawler: across the measured corpus, 78 of 213 charging origins charge some agents and serve others free, so ask with your own token rather than assuming a domain on the list will charge you.

Two kinds of unknown

partition splits a work queue into crawl, pay, skip, unknown and undecidable.

The last two look alike and are not. unknown means the census has not measured that domain yet: submit it and the next pass gets a real verdict. undecidable means the site's robots.txt disallows CrawlCensusBot, so this census will never measure it — retrying is guaranteed waste, and a loop that resubmits its unknowns each pass would resubmit those forever. The server marks the difference with a measurable boolean; read that, never the reason prose.

const p = await partition(urls, { agent: "gptbot" });

await Promise.all(p.crawl.map(politeFetchOne)); if (p.unmeasured.length) await submitUnmeasured(p, { agent: "gptbot" }); // p.undecidable: read their robots.txt yourself. Asking us again cannot help.

Submission is a separate call on purpose. A library that quietly POSTs during what reads as a lookup is a bad citizen, and you should choose when your queue positions are spent.

Skipping everything that will not serve you

A deny list is the smaller half. Measured against the live census, a crawler that skips only robots disallows still spends around 2,900 requests a pass on domains that permit it in robots.txt and refuse it at the edge, or that answer HTTP 402 — for PerplexityBot that set is larger than its deny list. Those fetches return nothing and cost a round trip each.

const skip = await syncSkipList("gptbot");

if (skip.has(host)) continue; // disallowed, refused at the edge, or priced skip.why(host); // "disallow" | "pay" | "refuse" | null setInterval(() => skip.refresh(), 3600_000);

agentdeny listalso skippabletotal
GPTBot3,5422,9446,486
ClaudeBot3,1693,1946,363
PerplexityBot1,1283,6584,786

The three sets are kept apart internally, so a change moves the one it belongs to. why() follows the same precedence as preflight: a disallow outranks a price, because a price is not permission.

Keeping a deny list current

syncBlocklist / BlocklistSync download the list once, then apply only what changed.

The list is served with the exact position in the change feed it was built at, in an x-cursor header and a # cursor: comment. The clients read it and resume from there, so there is no gap between the snapshot and the first poll, and no reliance on your clock being in step with the server's. Polling by second cannot express a position inside a second, and a crawl batch writes dozens of events into one, so a second-granularity resume can drop the remainder of it: measured live, resuming after the first of three same-second changes recovered both siblings by cursor and neither by second.

const sync = await syncBlocklist("gptbot");   // cursor comes from the list itself

if (sync.blocked.has(host)) skip(); setInterval(() => sync.refresh(), 3600_000); // a few hundred bytes per poll

refresh() applies only robots transitions to the list, because that is what the list is made of. Edge refusals, new prices and llms.txt changes come back in other for you to act on separately — an earlier version deleted those domains from the deny list, so a crawler resumed fetching exactly what had just started refusing it.

Verdicts

The authoritative definition of each verdict — what it means, what it obliges a crawler to do, and whether asking again could change it — is published as data at /api/v1/verdicts. The list below is a summary; if the two ever disagree, the endpoint is right and this file is stale.

politeFetch skips disallow, refuse and pay by default, which is the endpoint's derived do_not_fetch set. The copy here is deliberate — a crawl loop should not need a network call to decide — and a test compares the two so it cannot drift unnoticed.

VerdictMeaningDefault behaviour
allowrobots.txt permits this agent, and a live request carrying its user agent was servedfetch
disallowrobots.txt forbids this agent at the site rootskip
refuserobots.txt permits it; the edge refused it anyway. The allowance is not realskip
paythe origin answered HTTP 402. It will serve this agent on commercial termsskip
unknownnot measured recently enough to answerfetch

onPay: "fetch" (on_pay="fetch") overrides the paywall default. It is an explicit opt-in and is recorded on the result as paidRouteOverridden so it shows up in your logs.

It degrades, it does not fail

If the census is unreachable every verdict becomes unknown and your crawl proceeds as it normally would. A third-party outage must never stop your pipeline. There is a live test for exactly this.

What we publish about your agent

const p = await agentProfile("claudebot");

// robots disallow rate, edge refusal rate, operator page, correction channel

If a figure is wrong, the correction channel is in that response and on your operator page. Registry facts are corrected without argument; disputed measurements are published alongside the dispute with the underlying scan records, rather than quietly amended.

Limits

25 domains per preflight call anonymously, 200 with a Pro key, 1,000 with a Data key. Pass apiKey. Details at https://crawlcensus.com/for-crawlers.

Tests

node test.mjs runs against the live census on purpose. The value of this client is whether its verdicts match reality, and a mocked test would assert only that the mock agrees with itself.

MIT. Data is CC BY 4.0, attribute as "Source: Crawl Census (crawlcensus.com)".

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