AI Site Scorer MCP

An MCP server for the AI Site Scorer tool that allows agents to analyze websites for AI-readiness. It supports tools to analyze URLs, retrieve reports, enhance reports with LLM deep analysis, and generate IDE fix prompts based on issues like Schema.org, llms.txt, and E-E-A-T signals.

Endpoint and access

No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.

Community listingStreamable HTTPNo sign-inEndpoint checked 2026-11-07Published by MinglesAI

MCP endpoint (Streamable HTTP)

https://ai-readiness.mingles.ai/api/mcp/

Vendor documentation

What its tools do

5 tools, grouped by the hints the server advertises. Hints are self-declared, not verified behavior.

Not annotated (5)

analyze_url
enhance_report
generate_fix_prompt
get_report
list_recent_analyses

5 of 5 have a description · 0 of 5 declare behavior hints · 5 of 5 with parameters document them all

Checks and signals

Each line is separate evidence, not a trust score.

Passed Endpoint answered the live check · Nov 7, 2026, 12:12 AM UTC
Availability 1 of 1 checks passed in 30 days

What you can do with it

Analyze a website URL for AI-readiness scores
Retrieve detailed analysis reports for specific URLs
Generate IDE fix prompts for identified SEO issues
List recent analyses performed by the user

Source and maintenance

Community listingRegistry 1.0.0

mcp-registry: io.github.MinglesAI/ai-site-scorer@1.0.0 Source repository Project website

Maintenance checked: Nov 6, 2026, 11:48 PM UTC

Protocol and capabilities

Server: ai-site-scorer 1.0.0
MCP protocol negotiated in check: 2024-11-05
Tools: 5 advertised
Resources: Not advertised
Resource templates: Not advertised
Prompts: Not advertised

Server-advertised capabilities

{
  "tools": {
    "listChanged": false
  }
}

Server-provided instructions

Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.

AI Site Scorer — built for AI agents. Analyze any website for AI readiness across 14 checks (structured data, llms.txt, robots.txt, content quality). No API key required: pay $0.001 per analysis via x402 micropayments (USDC on Base). Use analyze_url to check a site, enhance_report for LLM deep analysis ($0.005), or generate_fix_prompt for IDE-ready fixes ($0.002).

Tools

5 advertised

analyze_url

Advertised by the server during the last successful anonymous check.

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 completion (up to 60s). Pricing: Free for registered users (100/mo). Anonymous (x402): $0.001 USDC for analysis only; $0.006 USDC combined when enhance=true ($0.001 analyze + $0.005 enhance, charged as a single upfront payment so only one X-PAYMENT header is needed per request).

analyze_url input schema

{
  "type": "object",
  "required": [
    "url"
  ],
  "properties": {
    "url": {
      "type": "string",
      "description": "The URL to analyze (must include http:// or https://)."
    },
    "enhance": {
      "type": "boolean",
      "default": false,
      "description": "If true, automatically run LLM deep analysis after basic analysis completes. Anonymous users: combined $0.006 USDC ($0.001 analyze + $0.005 enhance) charged as a single upfront payment. Default: false."
    },
    "wait_for_result": {
      "type": "boolean",
      "default": true,
      "description": "If true (default), wait for the analysis to complete and return the full report. If false, return the job_id immediately."
    }
  }
}

enhance_report

Advertised by the server during the last successful anonymous check.

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).

enhance_report input schema

{
  "type": "object",
  "required": [
    "job_id"
  ],
  "properties": {
    "job_id": {
      "type": "string",
      "description": "The UUID job_id of a completed report."
    }
  }
}

generate_fix_prompt

Advertised by the server during the last successful anonymous check.

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).

generate_fix_prompt input schema

{
  "type": "object",
  "required": [
    "job_id"
  ],
  "properties": {
    "job_id": {
      "type": "string",
      "description": "The UUID job_id of a completed report."
    }
  }
}

get_report

Advertised by the server during the last successful anonymous check.

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

get_report input schema

{
  "type": "object",
  "required": [
    "job_id"
  ],
  "properties": {
    "job_id": {
      "type": "string",
      "description": "The UUID job_id returned by analyze_url."
    }
  }
}

list_recent_analyses

Advertised by the server during the last successful anonymous check.

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

list_recent_analyses input schema

{
  "type": "object",
  "required": [],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 10,
      "description": "Number of results to return (1-50, default 10)."
    }
  }
}

Prompts

Not advertised

No prompt definitions available.

Resources

Not advertised

No resource definitions available.

90-day uptime

A lightweight connection check about every six hours, sampled on hosts with many listings. It shows the server answered, not that its tools work.

Too few checks for a percentage yet (1 of 1 answered).

2026-11-07: 1 of 1 checks answered

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks: 1 of 1 (100%)
Average latency: 713 ms
95th percentile latency: 713 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

Nov 7, 2026, 12:12 AM UTC · probe · passed · 713 ms · metadata changed · 5 tool(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http ai-site-scorer-mcp https://ai-readiness.mingles.ai/api/mcp/

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add ai-site-scorer-mcp --url https://ai-readiness.mingles.ai/api/mcp/

Cursor

Merge this server into .cursor/mcp.json in your project, then enable ai-site-scorer-mcp in your MCP settings.

Cursor configuration

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

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).

Cline configuration

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

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start ai-site-scorer-mcp and inspect its tools.

VS Code configuration

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

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http ai-site-scorer-mcp https://ai-readiness.mingles.ai/api/mcp/

Claude Desktop

Open Claude Settings > Connectors > Add custom connector, enter this server URL and enable it for the conversation. This is a manual remote-connector handoff, not a desktop JSON configuration.

Claude Desktop configuration

https://ai-readiness.mingles.ai/api/mcp/

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "ai-site-scorer-mcp": {
      "serverUrl": "https://ai-readiness.mingles.ai/api/mcp/"
    }
  }
}

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