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PopNx MCPMCP servers for people who use AI · explained in plain words

AEO Visibility

by Advance-Labsversion 1.0.1i★ –iRuns in the cloud
Registry namedev.advancelabs/aeo-visibility

Install

Overview

Description from the maker (original English)

Check whether AI answer engines cite your site, and for which prompts. Uses your own Perplexity key.

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: Search & AI memory

Install

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

Before you install

  • Basic checks: 3 of 3 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • Can do 5 things (tools) analyze_website_aeo, check_ai_visibility, discover_ranking_prompts, get_visibility_report …
  • 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://aeo.advancelabs.dev/api/mcp/ai-visibility/mcp

Run this in your terminal

claude mcp add --transport http aeo-visibility https://aeo.advancelabs.dev/api/mcp/ai-visibility/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "aeo-visibility": {
      "url": "https://aeo.advancelabs.dev/api/mcp/ai-visibility/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": {
    "aeo-visibility": {
      "type": "http",
      "url": "https://aeo.advancelabs.dev/api/mcp/ai-visibility/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://aeo.advancelabs.dev/api/mcp/ai-visibility/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

Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.

  • analyze_website_aeo

    Crawl a URL, parse its HTML and structured data, and score it for answer-engine optimization (AEO). Returns an AEO-focused summary, AI-bot access, and crawl-hint files.

  • check_ai_visibility

    Query Perplexity Sonar with a prompt and inspect its citations to determine whether the given URL is cited as a source, and at what rank.

  • discover_ranking_prompts

    Generate realistic user prompts a site should aim to be cited for on a topic, using Perplexity Sonar. Optionally tests a few of them for live visibility.

  • get_visibility_report

    Combine an AEO audit of a URL with per-prompt AI-visibility checks into a single report with an overall citation rate.

  • compare_competitor_visibility

    Run one Perplexity Sonar query and rank several competitor URLs by whether and where each is cited for the prompt.

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 against the domain advancelabs.dev (the registry checks domain ownership)

  • … 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

  • ✓ Pass

    Endpoint responds

    Responded in 753 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 5 tool descriptions and found no hidden instructions to the AI

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5676 servers in this category
  • Published to the registry more recently than 84% of the other 5676 servers in this category
  • Basic checks equal to or better than 100% of the other 5676 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 AEO Visibility safe?

It passed 3 of 3 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 (1.0.1) reached the registry 7 days 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: Context7, Codebase Memory, Exa

Alternatives

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
Install

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.

AEO Toolkit

The next big thing will be a lot of small things.

Open-source AI search optimization: 44 small checks that decide whether ChatGPT, Claude and Perplexity cite you.

Open-source TypeScript packages for Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and AI citation visibility. Contributions welcome, see CONTRIBUTING.md.

Open core. This repo is the open-source half of the AEO Toolkit: the audit engine, crawler,

parser, schema validator and the Chrome extension, all Apache-2.0 and published to npm. The

hosted platform behind advancelabs.dev/tools and the three

MCP servers (the console, OAuth, billing, the Google and Bing integrations) moved to a

private repository on 2026-10-20. Code published here before that date stays Apache-2.0.

Try it without installing anything: the six browser tools run free in the browser at [advancelabs.dev/tools](https://advancelabs.dev/tools), with no sign-up and no account. Point the auditor at a URL and it returns a weighted, per-rule report in about a minute. Want it done for you? Advance Labs runs a monthly AEO retainer.

The hosted side is six browser tools (technical audit, E-E-A-T scan, llms.txt generator, GA4 + GSC chat, backlink graph, authority) and three MCP servers (ai-visibility, backlink, search) exposing 32 tools to Claude or any MCP client. They are proprietary and run on advancelabs.dev. This repo is the open core: the audit engine packages, the Chrome extension and the skills. See docs/reference/tools.md for the full map.


What it looks like

The hosted site is drawn in dithered pixel art: a figure pushing a faceted sphere up a slope under a dusk sky.

Crawl and score. Up to 50 pages against every rule.44 small things. Pick a category and flip through the checks. The scoring engine is Apache-2.0.
The audit tool. Free, no sign-up.Track. See who AI recommends.

What is AEO?

Answer Engine Optimization (AEO) is the practice of structuring your content so that AI assistants (ChatGPT, Perplexity, Claude, Gemini) cite your site when answering questions in your domain. Traditional SEO gets you ranked on the blue-link results page. AEO gets you *quoted* in the AI answer.

As AI-powered search becomes the default discovery layer, AEO is the new SEO.


The audit

The hosted technical audit runs 44 checks (31 technical SEO + 13 AEO) across crawlability, AI-bot access, structured data, metadata and answer readiness, scored out of 100, with a prioritised fix list and templates for any crawl-hint file you're missing. The E-E-A-T scan is a separate tool that scores 14 signals. The engine defines 58 in total (44 + 14), but the audit itself runs 44. Free, no account, and your data stays yours.


The Chrome extension

[AEO/GEO Auditor](https://chromewebstore.google.com/detail/aeogeo-auditor/bdkkjpbipgolopjhndknigaaokdabnad) puts the same engine on your toolbar. Open any page, click the icon, and get a 0 to 100 AI-readiness score with a letter grade and a list of what to fix. Export it as a PDF.

It runs auditRules from packages/scoring/src/audit.ts: 44 checks across 9 categories (31 technical-SEO + 13 AEO) from extension 0.3.0, built on scoring 0.3.x. The Chrome Web Store build before that (0.2.0) ran 40, so the listing changes when 0.3.0 is published. The 14 E-E-A-T signals are a separate scorer the extension does not run, 58 is the engine total (44 + 14), not what any one audit runs.

Everything happens in your browser. No account, no server, no analytics, no telemetry. The only network requests are to the audited site's own robots.txt, sitemap.xml, and llms.txt, which is what the host permission is for. Nothing is stored, because nothing is sent.

Build it yourself:

pnpm --filter @advance-labs/chrome-extension package

→ apps/chrome-extension/aeo-extension.zip, loadable via chrome://extensions (Developer mode → Load unpacked, on dist/)


Packages

PackageDescription
@advance-labs/crawlerMulti-threaded web crawler with robots.txt compliance, sitemap parsing, and per-host rate limiting
@advance-labs/html-parserExtracts meta tags, Open Graph, Twitter Cards, headings, images, links, and JSON-LD from HTML
@advance-labs/schema-validatorValidates Schema.org JSON-LD structured data against known types
@advance-labs/scoringScores pages on 44 technical SEO and AEO checks, plus a separate 14-signal E-E-A-T scorer, with per-rule explanations

Plus @advance-labs/net-guard and @advance-labs/types. The one application here is apps/chrome-extension; the hosted console is not open source.


Quick Start

Six packages are published to npm and usable on their own:

npm i @advance-labs/scoring      # the 44-check audit engine

npm i @advance-labs/net-guard # SSRF-safe fetch: re-checks every redirect hop npm i @advance-labs/crawler # polite crawler with robots.txt + rate limiting npm i @advance-labs/html-parser npm i @advance-labs/schema-validator npm i @advance-labs/types # shared types, a dependency of the above

The hosted tools at advancelabs.dev/tools need no install at all.

git clone https://github.com/Advance-Labs/aeo-toolkit.git

cd aeo-toolkit pnpm install pnpm build # turbo builds every package pnpm test # the full suite, no network

Read the full documentation at [docs.advancelabs.dev/aeo-toolkit](https://docs.advancelabs.dev/aeo-toolkit).

Once built, the packages compose like this:

import { crawl } from '@advance-labs/crawler'

import { parseHtml } from '@advance-labs/html-parser' import { analyzeStructuredData } from '@advance-labs/schema-validator' import { buildAuditReport } from '@advance-labs/scoring'

const result = await crawl('https://example.com/', { maxPages: 2 }) const html = result.pages.filter((p) => p.ok && p.body && p.contentType?.includes('html'))

const report = await buildAuditReport( { crawl: result, pages: html.map((p) => parseHtml(p.body, p.finalUrl)), structuredData: html.map((p) => analyzeStructuredData(p.body, p.finalUrl)), mode: 'full-site', }, { durationMs: 0, version: '1.0.0' }, )

console.log(report.url, report.score.overall, report.score.grade) console.log(report.topFixes.slice(0, 3).map((f) => f.title))


Connect the MCP servers

Listed in the official MCP Registry as dev.advancelabs/aeo-search, dev.advancelabs/aeo-visibility and dev.advancelabs/aeo-backlink.

The three MCP servers are hosted, not installed. They are Streamable-HTTP endpoints, so there is nothing to npm install and no local process to run. Point any MCP client at the URL.

Claude Code: one command per server:

claude mcp add --transport http --scope user aeo-visibility https://aeo.advancelabs.dev/api/mcp/ai-visibility/mcp

claude mcp add --transport http --scope user aeo-backlink https://aeo.advancelabs.dev/api/mcp/backlink/mcp claude mcp add --transport http --scope user aeo-search https://aeo.advancelabs.dev/api/mcp/search/mcp

Drop --scope user to register them in the current project only. Check the result with claude mcp list.

Claude.ai / Claude Desktop: Settings → Connectors → Add custom connector, then paste the URL.

Cursor (~/.cursor/mcp.json), Windsurf, or any client that takes a JSON block:

{

"mcpServers": { "aeo-visibility": { "url": "https://aeo.advancelabs.dev/api/mcp/ai-visibility/mcp" }, "aeo-backlink": { "url": "https://aeo.advancelabs.dev/api/mcp/backlink/mcp" }, "aeo-search": { "url": "https://aeo.advancelabs.dev/api/mcp/search/mcp" } } }

ServerToolsCredentials
aeo-visibility5None to connect. Citation checks take a Perplexity key per request.
aeo-backlink7None.
aeo-search20Sign in with Google: the client opens a browser on first use (in Claude Code, /mcp → Authenticate). Or BYOK: a Google access token as Authorization: Bearer, plus an optional x-bing-api-key.

Three things that trip people up:

  • The trailing `/mcp` is required. The bare /api/mcp/ returns the adapter's own "Not found", which looks like a routing bug and is not.
  • Only `aeo-search` has a login, and its discovery is path-scoped. It answers an anonymous request with a 401 pointing at /.well-known/oauth-protected-resource/api/mcp/search/mcp; its authorization server is /api/mcp/oauth. The ROOT /.well-known/oauth-* documents deliberately return 404, because aeo-visibility and aeo-backlink need no login.
  • Every tool is read-only. None calls a write method on any upstream API.

/api/mcp/ga-gsc/mcp still works as a compatibility alias for aeo-search; new configs should use /api/mcp/search/mcp.


Why AEO?

When a user asks ChatGPT "what is the best tool for X?", the answer comes from indexed content that AI models trust, not from ad-auction bidding

Only the beginning is shown; read the rest in the repo

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