MCP Agent Accessibility Auditor

Name: MCP Agent Accessibility Auditor
Author: mambalabsdev

by mambalabsdevversion 1.3.1i★ –iRuns on your computer

Registry namecom.mambabuilt/mcp-agent-accessibility-auditor

Install

Overview

Description from the maker (original English)

Audit whether an AI agent can read a site: llms.txt, robots AI rules, structured data.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi0 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Search & AI memory
You need to fill in: APIFY_TOKEN

Install

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

Before you install

Basic checks: 0 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: APIFY_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "agent-accessibility-auditor": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-agent-accessibility-auditor"
      ],
      "env": {
        "APIFY_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add agent-accessibility-auditor --env APIFY_TOKEN=your-value -- npx -y @mambalabsdev/mcp-agent-accessibility-auditor

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": {
    "agent-accessibility-auditor": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-agent-accessibility-auditor"
      ],
      "env": {
        "APIFY_TOKEN": "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": {
    "agent-accessibility-auditor": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-agent-accessibility-auditor"
      ],
      "env": {
        "APIFY_TOKEN": "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

APIFY_TOKEN secret required env
Apify API token from https://console.apify.com/account/integrations

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 7, 2026

! Caution
Maker matches the repo
The publisher (mambabuilt.com) is not the repo owner (mambalabsdev); someone else may have listed it
… 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 Search & AI memoryi

More stars than 0% of the other 5662 servers in this category
Published to the registry more recently than 94% of the other 5662 servers in this category
Basic checks equal to or better than 26% of the other 5662 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 MCP Agent Accessibility Auditor safe?

It passed 0 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?

You need to fill in: APIFY_TOKEN

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 (1.3.1) reached the registry 2 days 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: 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.

Agent Accessibility Auditor MCP Server

MCP server for the Mamba Labs Agent Accessibility Auditor actor on Apify.

Can an AI agent read this site? Give it a domain and it returns one flat row of 42 fields covering five families of fact: the llms.txt family, robots AI crawler policy including the newer Content Signal directives, structured data presence and health, render mode, and machine readable endpoint discovery.

Install

npx -y @mambalabsdev/mcp-agent-accessibility-auditor

Claude Desktop

"mcpServers": { "mamba-agent-accessibility-auditor": { "command": "npx", "args": ["-y", "@mambalabsdev/mcp-agent-accessibility-auditor"], "env": { "APIFY_TOKEN": "your-apify-token" } } } }

Get an Apify token at console.apify.com/account/integrations.

Tool

`audit_agent_accessibility`

Domain in, whether an AI agent can read that site out.

Input	Type	Required	Notes
`domain`	string	yes	One company domain, for example vercel.com. A full URL is accepted: the protocol and path are stripped. One domain per call.
`checks`	array	no	Run only these checks: `llms_txt`, `robots_ai`, `sitemap`, `openapi`, `security_txt`, `feeds`, `json_ld`, `microdata`, `open_graph`, `canonical`, `render_mode`. Omit for all of them. A check you did not run reports `null`, never `false`, and the score is rescaled over what you selected.
`check_endpoints`	boolean	no	Alias for the checks array: false removes `sitemap`, `openapi`, `security_txt` and `feeds`. Ignored when `checks` is set. Default `true`.
`check_structured_data`	boolean	no	Alias for the checks array: false removes `json_ld`, `microdata`, `open_graph` and `canonical`. Ignored when `checks` is set. Default `true`.
`skipCache`	enum	no	Leave as `false` to use the 7 day cache. Set to `true` to re-audit the domain from scratch. Default `false`.
`max_charge_usd`	number	no	Optional cost cap in USD for this run. The actor stops before an item that could take its charges past this amount. Omit to rely on the maximum cost per run set in Apify.

Reading the output

Every field is a fact read off a fetch. No model is called at any point, so the same domain returns the same row today and next month unless the site actually changed.

has_llms_txt is true only when /llms.txt returns 200 and the body is real markdown, and llms_txt_reject_reason says why a 200 was not counted. Twelve requests per domain, robots.txt first and then the homepage and ten probes concurrently. Typical wall clock is 2 to 4 seconds.

Built for a technical SEO or growth engineer preparing a site for AI crawlers and agent traffic, or an agency selling that work and needing a before and after audit across a client list.

Billing

You are charged per domain analyzed, plus a small actor start fee. A repeat run inside the 7 day cache window costs nothing new.

Price per event on the Apify FREE plan, from the live pricing record; paid Apify plans pay less per event.

Event	Price (USD)
Domain analyzed (`domain-analyzed`)	0.005
Actor Start (`apify-actor-start`)	0.00005

Pricing is on the actor's Apify page. Running this server consumes Apify credits.

What this server does and does not do

It is a thin client for the Apify actor. It passes your input through and returns the actor's output unchanged. Every behavior described above lives in the actor, not here.

The tool starts the actor run and polls it to a finished status, so a long run is not cut off at 300 seconds. The run is allowed 1,800 seconds. If it is still going two minutes after that, the call stops waiting and returns the run ID with a link to it in the Apify Console, where the results land when it finishes. A run that does not succeed comes back as an error with its run ID and status.

Errors are surfaced, never swallowed. An invalid input, an invalid token, an exhausted balance, a timeout, or a run that returns anything other than a dataset all come back as an explicit tool error rather than as an empty result.

Source

The actor is on the Apify Store. This wrapper is MIT licensed.

Built by Mamba Labs

MCP Agent Accessibility Auditor

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Agent Accessibility Auditor MCP Server

Install

Claude Desktop

Tool

audit_agent_accessibility

Reading the output

Billing

What this server does and does not do

Source

`audit_agent_accessibility`