MCP.Market

AI Storefront Readiness Grader MCP server

online · 100% uptime
by theharrisontruong-web·io.github.theharrisontruong-web/storefront-grader·v1.0.0

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

A88/100grade A
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Safety scan
A88/100

full report

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If you have run it, two minutes of your experience saves the next person an afternoon.

AI Storefront Readiness Grader tools (1)

write = sends, deletes, buys or posts
  • grade_storefrontFree

    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.

Public scan report

scanner v0.1.10 · 2026-10-16 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 343ms20/20
  • Tool poisoning1 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How AI Storefront Readiness Grader compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
88/100
higher than 75% of 48,255 servers
Tools
1
the typical server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
81 ms
faster than 88% of 30,031 servers

What its tools let an agent do: 1 read

Install AI Storefront Readiness Grader in Claude Code, Cursor or VS Code

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

What the publisher says

From the AI Storefront Readiness Grader repository's README, as published. We do not edit it. Read it on GitHub

Paid Agent APIs

Pay-per-call MCP APIs for AI agents. Every call is settled in USDC via the x402 protocol on Base — no accounts, no API keys, no subscriptions. Payment is the auth: your agent pays per call and gets the result.

Operated by Harrison Truong · Contact: theharrisontruong@gmail.com

Products

Live endpoints

Both take { "url": "https://your-site.example" }. Source for every service lives in this repo (grader/, geo/, a11y/).

Add either live service to any MCP client as a remote server:

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

For agents: how payment works

payment requirements (amount, network, pay-to address).

  1. Call the tool or endpoint without payment → you get an HTTP 402 with the full

the x402 Python package, CDP or PayAI wrappers) and retry with the payment proof.

  1. Pay in USDC on Base mainnet (eip155:8453) with any x402 client (@x402/fetch,
  1. The call runs and returns the result. No signup, no key management, no invoice.

Discovery documents (/.well-known/x402):

  • https://grader-al6bxcngia-ue.a.run.app/.well-known/x402
  • https://geo-al6bxcngia-ue.a.run.app/.well-known/x402

Both services also declare the Bazaar discovery extension (extensions.bazaar) in their 402 responses, so catalog crawlers can index the paid routes from the 402 alone.

Payment terms: x402 exact scheme · asset USDC (0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913) · pay to 0xd702C8A8Ee30F6950A2a663010d12FC195D5348e · facilitator PayAI (https://facilitator.payai.network), with Coinbase CDP facilitator support built in.

Listed on

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

AI Storefront Readiness Grader: common questions

Is AI Storefront Readiness Grader MCP server safe?
Yes, by our scan: it is graded A (88/100). Read the AI Storefront Readiness Grader safety report
How do I install AI Storefront Readiness Grader?
It runs remotely at grader-al6bxcngia-ue.a.run.app. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does AI Storefront Readiness Grader need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is AI Storefront Readiness Grader maintained?
The last commit was 18 days ago (2026-10-16). The latest release is v1.0.0.
Is AI Storefront Readiness Grader up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does AI Storefront Readiness Grader compare with other MCP servers?
safety score 88/100 (higher than 75% of 48,255 servers); tools 1 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.