RankRoot: AI visibility audit MCP Server

by zachhhhh Your server? Claim it

answering

RankRoot: AI visibility audit is answering right now. Last checked 2 min ago. It exposes 2 tools.

Audit a site's visibility to ChatGPT, Perplexity, Claude and AI agents. Generates llms.txt.

Uptime history 6 days of history · worst day 14%

6 days agonow

50.0%

Uptime 24h

92 of 184 checks

Tools

read from the server

584 ms

Response time

average over 24h

open, no key

Access

streamable-http

RankRoot: AI visibility audit does not always answer

Over the last week it answered 45.6% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add rankroot --transport http https://getrankroot.com/api/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "rankroot": {
      "url": "https://getrankroot.com/api/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.rankroot]
url = "https://getrankroot.com/api/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "rankroot": {
      "url": "https://getrankroot.com/api/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "rankroot": {
      "url": "https://getrankroot.com/api/mcp"
    }
  }
}

This server publishes 1 more address. The block above uses the one we reach during checks; the full list is under Endpoints below, and the author may intend a particular one for your client.

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

audit

audit_ai_visibility

Score how discoverable a website is by AI answer engines (ChatGPT, Perplexity, Claude, Google AI Overviews) and AI agents. Returns a 0-100 score, per-category scores and a prioritized fix list.

generate

generate_ai_visibility_files

Generate ready-to-publish llms.txt, an AI-bot-friendly robots.txt and schema.org JSON-LD for a website, based on its current homepage.

Endpoints

URL	Transport	State	Latency	Checked
https://rankroot-ai.netlify.app/api/mcp	streamable-http	answering	1191 ms	3 min ago
https://getrankroot.com/api/mcp	streamable-http	answering	752 ms	2 min ago

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RankRoot: AI visibility audit — questions

Answers built from our own checks of this server.

What can RankRoot: AI visibility audit do?

It exposes 2 tools, read directly from the server on our last check. Among them: audit_ai_visibility, generate_ai_visibility_files. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is RankRoot: AI visibility audit working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 184 checks got a reply (50.0%), average response time 584 ms. The bar chart above shows every period we have measured.

How do I connect RankRoot: AI visibility audit?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does RankRoot: AI visibility audit need an API key?

No. RankRoot: AI visibility audit completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is RankRoot: AI visibility audit?

It answers our handshake in 584 ms on average, which is faster than 20% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.