AI Storefront Readiness Grader
RemoteAbout AI Storefront Readiness Grader
An MCP service that grades storefront URLs from A to F using weighted conversion-readiness checks. It is for teams evaluating checkout friction, trust signals, mobile readiness, and merchandising; each call costs $1.00 via x402.
Key features
- 01A–F storefront grading
- 0220 weighted conversion checks
- 03Identifies failing checks
- 04Checkout, trust, mobile, and merchandising review
Use cases
- 01Assessing conversion readiness before a storefront launch
- 02Finding checkout and trust issues on an existing store
MCP support
Exposes the `grade_storefront` tool to MCP clients through a remote MCP endpoint. Calls require payment in USDC via x402.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://grader-al6bxcngia-ue.a.run.app/mcpclaude mcp add --transport http theharrisontruong-web-storefront-grader https://grader-al6bxcngia-ue.a.run.app/mcp{"mcpServers":{"theharrisontruong-web-storefront-grader":{"type":"http","url":"https://grader-al6bxcngia-ue.a.run.app/mcp"}}}Open in Cursor{"servers":{"theharrisontruong-web-storefront-grader":{"type":"http","url":"https://grader-al6bxcngia-ue.a.run.app/mcp"}}}Open in VS Code{"mcpServers":{"theharrisontruong-web-storefront-grader":{"type":"http","url":"https://grader-al6bxcngia-ue.a.run.app/mcp"}}}{"mcpServers":{"theharrisontruong-web-storefront-grader":{"serverUrl":"https://grader-al6bxcngia-ue.a.run.app/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEPaid 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: [email protected]
Products
| Service | What it does | MCP tool | Price | Status |
|---|---|---|---|---|
| AI Storefront Readiness Grader | Grades any storefront URL A–F across 20 weighted conversion-readiness checks (checkout friction, trust signals, mobile readiness, merchandising completeness) and returns the failing checks | grade_storefront | $1.00 / call | ✅ LIVE |
| GEO Audit | Scores any URL's visibility to AI search engines (ChatGPT, Perplexity, Claude, Google AI Overviews) across 20 weighted checks and returns concrete fixes. Free tier: audit_geo_lite, rate-limited | audit_geo | $1.50 / call | ✅ LIVE |
| A11y Audit | Accessibility lawsuit-risk scan: 20 weighted WCAG checks plus a lawsuit-risk level, framed as risk reduction for US businesses. Automated triage, not a certification | audit_a11y | $1.50 / call | Code complete — deploys with the next release |
| Feed Audit | Product-feed hygiene audit: flags the feed errors that get listings disapproved or suppressed before they cost sales | — | $1.00 / call | Code complete — deploys with the next release |
Live endpoints
| Service | MCP endpoint | HTTP endpoint |
|---|---|---|
| Storefront Grader | POST https://grader-al6bxcngia-ue.a.run.app/mcp | POST https://grader-al6bxcngia-ue.a.run.app/grade |
| GEO Audit | POST https://geo-al6bxcngia-ue.a.run.app/mcp | POST https://geo-al6bxcngia-ue.a.run.app/geo · free: POST /geo-lite |
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
- Call the tool or endpoint without payment → you get an HTTP 402 with the full payment requirements (amount, network, pay-to address).
- Pay in USDC on Base mainnet (
eip155:8453) with any x402 client (@x402/fetch, thex402Python package, CDP or PayAI wrappers) and retry with the payment proof. - 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
- Official MCP Registry —
io.github.theharrisontruong-web/storefront-grader·io.github.theharrisontruong-web/geo-audit - Glama (both A-rated) — Storefront Grader · GEO Audit
- Smithery — namespace
theharrisontruong: storefront-grader · geo-audit - x402scan — Storefront Grader
Registry metadata in this repo
server.json— Official MCP Registry manifest for the Storefront Grader (remote).server-geo.json— Official MCP Registry manifest for GEO Audit (remote).server-a11y.json— Official MCP Registry manifest for A11y Audit (publishes on deploy).glama.json— Glama maintainer claim for this repository.
License
MIT — see LICENSE. The license covers this documentation/metadata repo; the hosted services themselves are pay-per-call as described above.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.