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Specularis AI Visibility Audit MCP Server

by adevaarons Your server? Claim it
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Specularis AI Visibility Audit is answering right now. Last checked moments ago. It exposes 3 tools. Last commit 16 Sep 2026.

Free AI visibility (GEO/AEO) audit: can ChatGPT, Claude and Perplexity find and cite your website?

Uptime history 47 days of history · worst day 82%
47 days agonow
100.0%
Uptime 24h
92 of 92 checks
3
Tools
read from the server
294 ms
Response time
average over 24h
0
Stars
last commit 16 Sep 2026

What changed 18

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 12 August 2026. No other catalogue keeps this.

9 Sep a tool changed version
6 Sep a tool changed version
5 Sep 2 tool descriptions were rewritten find_ai_citations, run_ai_visibility_audit
31 Aug a tool changed version5 times that day
28 Aug a tool changed version8 times that day
12 Aug a tool appeared find_ai_citations
and 11 more, back to 12 August 2026

What the code does

We read the source, 20 h ago · tools taken from the live server · rules 3dff92dd89df

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

            <li><b>Re-run all 20 AI checks</b> and update this scoreboard.</li>
            <li><b>Traffic + leads</b> pulled from Google Analytics and SEMrush.</li>
  document.getElementById('clients').innerHTML = Object.keys(CLIENTS).map(n =>

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.

run in your terminal
claude mcp add specularis-mcp-audit --transport http https://specularis-mcp-audit-production.up.railway.app/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "specularis-mcp-audit": {
      "url": "https://specularis-mcp-audit-production.up.railway.app/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.specularis-mcp-audit]
url = "https://specularis-mcp-audit-production.up.railway.app/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "specularis-mcp-audit": {
      "url": "https://specularis-mcp-audit-production.up.railway.app/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "specularis-mcp-audit": {
      "url": "https://specularis-mcp-audit-production.up.railway.app/mcp"
    }
  }
}

Available tools 3

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

book
book_strategy_call
Get the link to book a free Specularis strategy call about AI visibility / GEO / AEO.
citations
find_ai_citations
Given a buyer query (e.g. 'best real estate agent in Tampa') and a website domain, find the exact sources ChatGPT, Perplexity, Claude, and Gemini cite when answering that query — and whether the domain appears in any of them. Returns the ranked source list (with which engine cites each) and an 'appears in X of N' gap. Use this whenever a user wants to know where AI gets its answers about their industry, which pages AI trusts for a query, or whether their business shows up in AI recommendations.
visibility
run_ai_visibility_audit
Run a free AI visibility (GEO/AEO) audit on a website — checks whether ChatGPT, Claude, Perplexity, and Gemini can find and cite it. Returns an instant snapshot of crawler access, structured data, and llms.txt. If an email is provided, a full scored report (0–100 across 5 pillars, with copy-paste fixes) is emailed as a PDF. Use this whenever a user asks to audit/check a site's AI visibility, GEO, AEO, or whether AI can find them.

Endpoints

URLTransportStateLatencyChecked
https://specularis-mcp-audit-production.up.railway.app/mcp streamable-http answering 300 ms 0 min ago

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Audit your brand's visibility across ChatGPT, Gemini, Claude, Perplexity + 6 more engines.

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AI visibility: is your brand cited by ChatGPT, Perplexity, Gemini? SoV, GEO score, AI traffic.

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Specularis AI Visibility Audit — questions

Answers built from our own checks of this server.

What can Specularis AI Visibility Audit do?
It exposes 3 tools, read directly from the server on our last check. Among them: book_strategy_call, find_ai_citations, run_ai_visibility_audit. 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 Specularis AI Visibility Audit working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 294 ms. The bar chart above shows every period we have measured.
How do I connect Specularis 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 Specularis AI Visibility Audit need an API key?
No. Specularis AI Visibility Audit completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Specularis AI Visibility Audit?
It answers our handshake in 294 ms on average, which is faster than 51% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Specularis AI Visibility Audit open source?
Yes — it is published under the MIT licence, written in HTML and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.