AI Storefront Readiness Grader MCP Server

by theharrisontruong-web Your server? Claim it

answering

AI Storefront Readiness Grader is answering right now. Last checked 15 min ago. It exposes 1 tools. Last commit 17 Oct 2026.

Grades any storefront URL A-F on 20 weighted conversion checks. $1.00/call via x402.

Uptime history 10 days of history

10 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

212 ms

Response time

average over 24h

Stars

last commit 17 Oct 2026

Nothing serious here today

Today is the operative word: we check AI Storefront Readiness Grader every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add storefront-grader --transport http https://grader-al6bxcngia-ue.a.run.app/mcp

Settings → Connectors → Add custom connector, then paste this address

https://grader-al6bxcngia-ue.a.run.app/mcp

~/.codex/config.toml

[mcp_servers.storefront-grader]
url = "https://grader-al6bxcngia-ue.a.run.app/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "storefront-grader": {
      "url": "https://grader-al6bxcngia-ue.a.run.app/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "storefront-grader": {
      "type": "http",
      "url": "https://grader-al6bxcngia-ue.a.run.app/mcp"
    }
  }
}

Available tools 1

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

grade

grade_storefront

Audit an ecommerce storefront for AI-agent shopping readiness. Fetches the store server-side and runs 20 weighted checks across product intelligence (schema.org Product/Offer price, availability, variants, GTIN/MPN), AI discovery (robots.txt, llms.txt, agents.md, sitemap.xml, UCP manifest, MCP endpoint), conversation readiness (contact info, FAQ/returns, site search), transaction readiness (HTTPS, checkout signals, tax/shipping as values), and trust (business identity, policies). Returns a machine-readable JSON report: 0-100 score, A-F grade, per-check pass/partial/fail/unknown with evidence, and the top 3 prioritized fixes. Cost: $1.00 USDC on Base per call, paid via x402 — the caller's agent pays from its owner's approved wallet; no API key needed. Use this to decide whether a store is ready for AI shopping agents, or to generate the audit behind a readiness report for a merchant.

Endpoints

URL	Transport	State	Latency	Checked
https://grader-al6bxcngia-ue.a.run.app/mcp	streamable-http	answering	234 ms	15 min ago

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AI Storefront Readiness Grader — questions

Answers built from our own checks of this server.

What can AI Storefront Readiness Grader do?

It exposes 1 tools, read directly from the server on our last check. Among them: grade_storefront. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is AI Storefront Readiness Grader working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 212 ms. The bar chart above shows every period we have measured.

How do I connect AI Storefront Readiness Grader?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does AI Storefront Readiness Grader need an API key?

No. AI Storefront Readiness Grader completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 1 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is AI Storefront Readiness Grader?

It answers our handshake in 212 ms on average, which is faster than 76% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is AI Storefront Readiness Grader open source?

The code is open source: it is published under the MIT licence, written in Python, 0 stars on GitHub and 1 open issue. The licence covers the code in the repository, not the hosted service at grader-al6bxcngia-ue.a.run.app, which runs on its operator's own terms.