mcp server
AI Site Scorer
Check website AI-readiness: Schema.org, llms.txt, E-E-A-T, robots.txt. Works in Cursor & Claude.
Description as published by the maintainer. Source
- version 1.0.0
- slowing
slowing — Registry entry last updated 2026-03-12.
What this server can do
5 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
analyze_url(url, enhance, wait_for_result)- 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). Required: url.
enhance_report(job_id)- 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). Required: job_id.
generate_fix_prompt(job_id)- 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). Required: job_id.
get_report(job_id)- Fetch a previously completed analysis report by job ID. Returns scores, check details, and recommendations. Required: job_id.
list_recent_analyses(limit)- List the 10 most recent analyses for the authenticated account. Returns URLs, scores, and statuses.
Last successful function declaration observed on . Source: https://ai-readiness.mingles.ai/api/mcp/. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://ai-readiness.mingles.ai/api/mcp/.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-03-12 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-03-12 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 5 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | ai-readiness.mingles.ai | |
| mcp endpoint status | ok | The server listed 5 functions when asked. | as of probe | ai-readiness.mingles.ai |
Where to get it
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json