alice

Audit any site's AI visibility from your assistant: crawler access, rendering, and schema.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
100%
Naming quality
90%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~613Tokens (tool definitions)
~2.0 KBTypical response size
Minimal attention impact (0.48% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "alice": {
      "url": "https://tranx.io/api/mcp"
    }
  }
}

Remote endpoints

https://tranx.io/api/mcpstreamable-http

What it can do

Tool inventory

Tools (2)

🟒 Read-only🟑 WriteπŸ”΄ Deleteβšͺ Unknown
🟒check_ai_visibility(url, full)

Check whether AI names a website when buyers ask, and whether AI can read it. Starts a live check of one brand-name question and one buyer question on Google AI Overviews, ChatGPT and Claude (results fill in on the report link within about a minute), and returns a 0-100 AI readability score: which AI crawlers the site allows or blocks, whether content is server-rendered, structured-data coverage, and the highest-impact fixes. Use when someone asks whether ChatGPT, Claude or Google AI mention or cite their site, how their site appears to AI, whether AI can read or find it, or asks for an SEO or AI visibility audit of a URL.

Input Schema

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Site or page URL. Scheme optional; https:// is assumed."
    },
    "full": {
      "type": "boolean",
      "default": false,
      "description": "Include classic SEO, crawlability and analytics-tag sections. Default returns AI visibility only."
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string"
    },
    "scanned_at": {
      "type": "string"
    },
    "score": {
      "type": [
        "integer",
        "null"
      ],
      "minimum": 0,
      "maximum": 100
    },
    "score_breakdown": {
      "type": "object"
    },
    "checks": {
      "type": "object"
    },
    "top_actions": {
      "type": "array",
      "items": {
        "type": "object"
      }
    },
    "report_url": {
      "type": "string"
    },
    "ai_check": {
      "type": "object",
      "description": "The live brand-name / buyer-question check across the AI engines. status \"checking\" means the engines are still answering; the report_url shows the settled result."
    },
    "next_step": {
      "type": "string"
    },
    "gated": {
      "type": "boolean"
    }
  },
  "required": [
    "url",
    "score",
    "checks",
    "top_actions",
    "next_step"
  ]
}
🟒compare_ai_visibility(urls)

Compare how visible several websites are to AI answer engines, side by side. Scans 2-4 URLs and ranks them by AI visibility score, showing which blocks AI crawlers, which is server-rendered, and which has answer-ready structured data. Use when someone wants to benchmark their site against competitors, or asks why a competitor gets recommended by AI assistants and they do not.

Input Schema

{
  "type": "object",
  "properties": {
    "urls": {
      "type": "array",
      "minItems": 2,
      "maxItems": 4,
      "items": {
        "type": "string"
      },
      "description": "Two to four site URLs. Put the user’s own site first; results are returned ranked by score."
    }
  },
  "required": [
    "urls"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "rows": {
      "type": "array",
      "items": {
        "type": "object"
      }
    },
    "next_step": {
      "type": "string"
    },
    "gated": {
      "type": "boolean"
    }
  },
  "required": [
    "rows",
    "next_step"
  ]
}

Community

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Evidence

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