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AI Site Scorer MCP server

Which servers in the official MCP registry are AI Site Scorer's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-11

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Whose server it is
  • Registry nameio.github.MinglesAI/ai-site-scorerpublished by MinglesAI on GitHub

Published under the GitHub organisation MinglesAI, the same one mingles.ai links from its homepage. The registry ties that namespace to a GitHub sign-in.

When we asked itchecked 2026-10-11
  • Stateanswerschecked 2026-10-11
  • Tools5
  • Server calls itselfai-site-scorer
  • Server version1.0.0
  • Protocol version2024-11-05

On 2026-10-11 the server answered initialize and tools/list without a sign-in. First answer in 574 ms.

Tools it offers5 tools · read 2026-10-11
  • analyze_url

    Submit a URL for AI-readiness analysis. Checks how well the site is structured for AI/LLM crawling (robots.txt, structured data, page speed, content quality, etc.). Returns scores and recommendations. Set wait_for_result=true to wait for…

  • enhance_report

    Run LLM deep analysis on a completed report. Returns detailed AI analysis with priority issues and actionable recommendations. Pricing: Free with Pro subscription, or $0.005 USDC via x402 (anonymous or free-tier).

  • generate_fix_prompt

    Generate a Cursor/IDE-ready prompt to fix AI readiness issues found in a report. Returns a comprehensive, actionable developer prompt. Pricing: Free with Pro subscription, or $0.002 USDC via x402 (anonymous or free-tier).

  • get_report

    Fetch a previously completed analysis report by job ID. Returns scores, check details, and recommendations.

  • list_recent_analyses

    List the 10 most recent analyses for the authenticated account. Returns URLs, scores, and statuses.

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

{
  "mcpServers": {
    "ai-site-scorer": {
      "type": "http",
      "url": "https://ai-readiness.mingles.ai/api/mcp/"
    }
  }
}

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.