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Specularis Mcp Audit MCP Server

Developer ToolsLow Risk9.7MCP RegistryRemote
Free

Server data from the Official MCP Registry

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

About

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

Remote endpoints: streamable-http: https://specularis-mcp-audit-production.up.railway.app/mcp

Security Report

9.7
Low Risk9.7Low Risk

Valid MCP server (2 strong, 2 medium validity signals). 1 known CVE in dependencies Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.

Endpoint verified · Open access · 2 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-adevaarons-specularis-mcp-audit": {
      "url": "https://specularis-mcp-audit-production.up.railway.app/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Specularis AI Visibility Audit — MCP Server

Run a free AI visibility (GEO/AEO) audit on any website from inside Claude, ChatGPT, or any MCP client — checks whether ChatGPT, Claude & Perplexity can find and cite it, with an instant snapshot and an optional full scored PDF report.

Hosted endpoint (Streamable HTTP):

https://specularis-mcp-audit-production.up.railway.app/mcp

No installation needed — it's a remote MCP server. Add the URL above and you're done.

Connect it

Claude (claude.ai or Claude Desktop): Settings → Connectors → Add custom connector → paste the URL above.

Claude Code:

claude mcp add --transport http specularis-audit https://specularis-mcp-audit-production.up.railway.app/mcp

Then in any chat: "Audit example.com for AI visibility" — the tool runs.

Tools

ToolWhat it does
run_ai_visibility_audit(website_url, email?, name?, role?)Instant in-chat snapshot: AI crawler access (GPTBot, ClaudeBot, PerplexityBot), schema markup, llms.txt, content signals. Include an email to receive the full scored audit — a 0–100 AI-visibility score across 5 pillars, delivered as a PDF report.
book_strategy_call()Returns a link to book a strategy call with Specularis.

What the full audit measures

The full report scores 5 pillars (20 points each): AI crawler accessibility, structured data & entity clarity, content quality signals, off-site presence (the sources AI engines actually cite), and live AI-answer visibility — including real Perplexity queries to test whether AI recommends the business today.

Validated against 14 sites across 4 niches: businesses AI recommends average 64.5/100; businesses AI ignores average 44.7. Notably, 8 of 12 audited businesses were unknowingly blocking AI crawlers at the network level.

Who's behind it

Built by Specularis — a GEO/AEO agency helping businesses get found and cited by AI engines. The audit is free; the report is the real deliverable.

Self-hosting

The server is a single-file Node app (Streamable HTTP transport).

npm install
npm start

Environment variables:

VariablePurpose
N8N_WEBHOOK_URLBackend audit engine endpoint (the hosted version uses Specularis's audit pipeline)
CONTACT_URLBooking link returned by book_strategy_call
AUDIT_URLWeb-form fallback link included in responses
PORTListen port (default 3000)

Point any MCP client at http://localhost:3000/mcp.

License

MIT

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