Was kannst du mit ai visibility scanner machen?

AI Visibility Scanner — MCP App

Scan any website for AI visibility and marketing health, with an interactive dashboard that renders inline in Claude and ChatGPT.

Live Endpoint

https://ai-visibility-scanner-production.up.railway.app/mcp

Connect to Claude

Claude Desktop

Settings > Connectors > Add Custom Connector > paste:

https://ai-visibility-scanner-production.up.railway.app/mcp

Claude Code

claude mcp add ai-visibility-scanner --transport streamable-http https://ai-visibility-scanner-production.up.railway.app/mcp

Connect to ChatGPT

Settings > Apps > Developer Mode > Add MCP Server > paste:

https://ai-visibility-scanner-production.up.railway.app/mcp

Usage

Once connected, just ask:

"Scan etherealmedia.ai for AI visibility"

The scanner will:

Probe infrastructure (robots.txt, sitemap, llms.txt, agent-card.json, etc.)
Analyze homepage + subpages (raw HTTP + Puppeteer JS rendering)
Score across 3 AI Visibility dimensions + 6 Marketing Health dimensions
Return interactive dashboard with findings and revenue impact estimates

Tools

Tool	Visibility	Description
`scan_website`	model + app	Full scan with scores, findings, revenue impact
`refresh_scan`	app only	Re-scan from the dashboard UI

Scores

GEO (Generative Engine Optimization): Schema, robots, sitemap, llms.txt
Multimodal: OG images, video, alt text, WebP/AVIF, srcset
Agent-Ready: llms.txt, agent-card.json, UCP, WebMCP, semantic HTML
Marketing Health: SEO, CTA/CRO, Trust, Analytics, Competitive, Growth

Development

npm install
npm run serve    # Build UI + start MCP server on :3001

Deploy

Docker with Puppeteer/Chrome:

docker build -t ai-visibility-scanner .
docker run -p 3001:3001 ai-visibility-scanner

Railway:

railway up

Built by Ethereal Media — The Ethereal Forge

Installation

ai visibility scanner zu deinem Client hinzufügen. Wähl den, den du nutzt.

claude mcp add --transport http ai-visibility-scanner https://ai-visibility-scanner-production.up.railway.app/mcp

codex mcp add ai-visibility-scanner --url https://ai-visibility-scanner-production.up.railway.app/mcp

{
  "mcpServers": {
    "ai-visibility-scanner": {
      "url": "https://ai-visibility-scanner-production.up.railway.app/mcp"
    }
  }
}

Add to `~/.cursor/mcp.json`, or `.cursor/mcp.json` for a single project.

{
  "servers": {
    "ai-visibility-scanner": {
      "type": "http",
      "url": "https://ai-visibility-scanner-production.up.railway.app/mcp"
    }
  }
}

Add to `.vscode/mcp.json` in your workspace.

{
  "mcpServers": {
    "ai-visibility-scanner": {
      "url": "https://ai-visibility-scanner-production.up.railway.app/mcp"
    }
  }
}

Add to `claude_desktop_config.json`, then restart Claude Desktop.

{
  "mcpServers": {
    "ai-visibility-scanner": {
      "serverUrl": "https://ai-visibility-scanner-production.up.railway.app/mcp"
    }
  }
}

Add to `~/.codeium/windsurf/mcp_config.json`.

2 Tools

ai visibility scanner stellt einem verbundenen Agent 2 Tools bereit.

scan_website: model + app
refresh_scan: app only

Score

48 / 100

Ausreichend

Dokumentation13/25
Pflege13/25
Vertrauen6/20
Funktionsumfang4/15
Installation12/15

Documents what it does and how to connect
Has a resolvable package or endpoint
Exposes at least one tool, prompt or resource
README has substantive content
Includes a code example
Documents its configuration
Mentions credentials or security posture
Last commit 125 days ago
Has a release history
Repository is not archived
No licence detected
Namespace verified in the official MCP registry
Claimed by its owner
Published under an organisation
2 tool(s) documented
Provides prompt templates
Provides resources
6 documented install method(s)
Published to a package registry
Offers a hosted endpoint — no local install

Vollständige Kriterien lesen →

Versionsverlauf

Versionen	Veröffentlicht
1.0.0Aktuell	5. Apr. 2026