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specularis-mcp-audit

connector

AdevAarons

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

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0 starsSynced Aug 2, 2026

Install to Claude Code

/plugin marketplace add AdevAarons/specularis-mcp-audit

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

Rendered live from AdevAarons/specularis-mcp-audit's GitHub README — not stored, always reflects the source repo.

1 Install Method

NameDescriptionCategorySource
streamable-http remoteHosted streamable-http endpointmcp-serverhttps://specularis-mcp-audit-production.up.railway.app/mcp

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