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specularis-mcp-audit

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Free AI visibility (GEO/AEO) audit as a remote MCP server — check whether ChatGPT, Claude & Perplexity can find and cite any website, from inside Claude/ChatGPT.

MCP ServersRegistry oficial0 estrellas0 forksJavaScriptMITActualizado today
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/AdevAarons/specularis-mcp-audit
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "specularis-mcp-audit": {
      "command": "node",
      "args": ["/path/to/specularis-mcp-audit/dist/index.js"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Clone https://github.com/AdevAarons/specularis-mcp-audit and follow its README for install instructions.
Casos de uso

Resumen de MCP Servers

# 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:**

```bash
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

| Tool | What 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](https://specularisinc.com) — a GEO/AEO agency helping businesses get found and cited by AI engines. The audit is free; the report is the real deliverable.

- Free audit (web form): https://specularisinc.com/free-audit
- Contact: https://specularisinc.com/contact

## Self-hosting

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

```bash
npm install
npm start
```

Environment variables:

| Variable | Purpose |
|----------|---------|
| `N8N_WEBHOOK_URL` | Backend audit engine endpoint (the hosted version uses Specularis's audit pipeline) |
| `CONTACT_URL` | Booking link returned by `book_strategy_call` |
| `AUDIT_URL` | Web-form fallback link included in responses |
| `PORT` | Listen port (default 3000) |

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

## License

MIT
aeoai-visibilitygeomarketingmcpmcp-servermodel-context-protocolseo

Lo que la gente pregunta sobre specularis-mcp-audit

¿Qué es AdevAarons/specularis-mcp-audit?

+

AdevAarons/specularis-mcp-audit es mcp servers para el ecosistema de Claude AI. Free AI visibility (GEO/AEO) audit as a remote MCP server — check whether ChatGPT, Claude & Perplexity can find and cite any website, from inside Claude/ChatGPT. Tiene 0 estrellas en GitHub y se actualizó por última vez today.

¿Cómo se instala specularis-mcp-audit?

+

Puedes instalar specularis-mcp-audit clonando el repositorio (https://github.com/AdevAarons/specularis-mcp-audit) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar AdevAarons/specularis-mcp-audit?

+

AdevAarons/specularis-mcp-audit aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.

¿Quién mantiene AdevAarons/specularis-mcp-audit?

+

AdevAarons/specularis-mcp-audit es mantenido por AdevAarons. La última actividad registrada en GitHub es de today, con 0 issues abiertos.

¿Hay alternativas a specularis-mcp-audit?

+

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