A-

ai-readiness.mingles.ai

Item: ai-readiness.mingles.ai
Rating: 92
Author: wmcp.sh

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

92/100 · MCP Trust Grade · checked 3h ago · MCP 2024-11-05

✓ Watched since 2026-06-03 — behavioral baseline locked. We re-check this server's tool surface on a schedule; if it adds, removes, or silently rewrites a tool (rug-pull), we record it.

What it offers — 5 tools · Developer Tools

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 q

enhance_report

Run LLM deep analysis on a completed report. Returns detailed AI analysis with priority issues and actionable recommendations. Pricing: Free with Pro

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 w

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.

Spec conformance20%100

✓ initialize → protocolVersion 2024-11-05
✓ initialize HTTP 200
✓ unknown method → -32601
✓ tools/list → 5 tools
✓ every tool has name + inputSchema

Security (OWASP MCP)30%100

5 tools scanned
no injection markup
no secret-path refs

Reliability / performance20%84

single-probe latency 738ms (PRELIMINARY — continuous uptime/p95 from proxy telemetry lands in v2)

Tool hygiene15%80

100% of tools have typed inputSchema
0/5 declare outputSchema
no unannotated destructive tools

Transparency / provenance15%90

HTTPS ✓
RFC 9728 oauth-protected-resource metadata ✓
advertises protocol 2024-11-05

Observed behavior

No proxied traffic observed for this host yet. Connect it at /connect and its grade gains a measured Reliability score + per-tool behavioral evidence — the half a static scan can't produce.

Findings

No blocking issues found in the static + spec checks.

Grade another server

We re-grade ai-readiness.mingles.ai on a schedule and alert your Slack/webhook the moment its tools change or its grade drops — rug-pull insurance for the connection.

Share this report card

A 1200×630 card with the grade + audit — drop it in a post, Slack, or your repo.

MCP Trust report card — ai-readiness.mingles.ai grade A-

Share on X Open card image

https://wmcp.sh/mcp/grade/ai-readiness.mingles.ai

Embed this grade

A live badge — it re-verifies itself and shows current stability. Static scorecards can't. Paste it in your README or site to show users you're independently audited.

Markdown (for your README)

[![MCP Trust Grade A-](https://wmcp.sh/mcp/grade/ai-readiness.mingles.ai/badge.svg)](https://wmcp.sh/mcp/grade/ai-readiness.mingles.ai)

HTML

<a href="https://wmcp.sh/mcp/grade/ai-readiness.mingles.ai"><img src="https://wmcp.sh/mcp/grade/ai-readiness.mingles.ai/badge.svg" alt="MCP Trust Grade A- · wmcp.sh"></a>

Agents: check this before connecting

Add the wmcp.sh trust oracle as an MCP server and call grade_mcp_server / check_mcp_drift in your agent's pre-connection gate:

https://wmcp.sh/mcp/trust

How this grade is computed. An open, independent rubric — Spec conformance (20%), Security mapped to the OWASP MCP Top 10 (30%), Reliability (20%), Tool hygiene (15%), Transparency (15%) — run by connecting to the server and inspecting its real MCP surface. The grade is free and identical whether or not the operator pays. v1 uses static + spec signals from a single connection; continuous uptime, real latency, and annotation-truthing (declared readOnly vs observed behavior) layer on via the wmcp.sh proxy.