# AI Storefront Readiness Grader (remote · grader-al6bxcngia-ue.a.run.app)

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

- Trust score: 75/100 (medium)
- Change this week: +4
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `grader-al6bxcngia-ue.a.run.app`: 75/100 (this document), [markdown](https://verifymcp.io/servers/theharrisontruong-web-storefront-grader/grader-al6bxcngia-ue.md), [page](https://verifymcp.io/servers/theharrisontruong-web-storefront-grader/grader-al6bxcngia-ue)

## Channel facts

- Endpoint: `https://grader-al6bxcngia-ue.a.run.app/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Endpoint Security**: 57/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 1 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 81/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 229 tokens (~229/item across 1 items; 1 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 67/100
  - Stability observed for 20 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 1 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 1 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the AI Storefront Readiness Grader MCP server?

AI Storefront Readiness Grader is a hosted endpoint at https://grader-al6bxcngia-ue.a.run.app/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http theharrisontruong-web-storefront-grader 'https://grader-al6bxcngia-ue.a.run.app/mcp'
```

### Cursor

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

### VS Code

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

### Codex

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

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "theharrisontruong-web-storefront-grader": {
      "type": "remote",
      "url": "https://grader-al6bxcngia-ue.a.run.app/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add theharrisontruong-web-storefront-grader --url 'https://grader-al6bxcngia-ue.a.run.app/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  theharrisontruong-web-storefront-grader:
    url: "https://grader-al6bxcngia-ue.a.run.app/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "theharrisontruong-web-storefront-grader": {
      "Transport": "http",
      "Url": "https://grader-al6bxcngia-ue.a.run.app/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add theharrisontruong-web-storefront-grader -t streamable-http -u 'https://grader-al6bxcngia-ue.a.run.app/mcp'
```

### Other

```json
{
  "mcpServers": {
    "theharrisontruong-web-storefront-grader": {
      "type": "http",
      "url": "https://grader-al6bxcngia-ue.a.run.app/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-05 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-03 (score 74, +1)

No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-01 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-30 (score 72, +1)

No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-27 (score 71, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-25 (score 70, +1)

No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-23 (score 69, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-21 (score 68, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (1)

### `grade_storefront` (~229 tokens)

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.

Input parameters:

- `url` (string, required): Storefront URL to grade, e.g. https://example-store.com

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/theharrisontruong-web-storefront-grader/grader-al6bxcngia-ue#diagnostics

## Score history

- 2026-11-05: 75
- 2026-11-04: 74
- 2026-11-03: 74
- 2026-11-02: 73
- 2026-11-01: 73
- 2026-10-31: 72
- 2026-10-30: 72
- 2026-10-29: 71
- 2026-10-28: 71
- 2026-10-27: 71
- 2026-10-26: 70
- 2026-10-25: 70
- 2026-10-24: 69
- 2026-10-23: 69
- 2026-10-22: 68
- 2026-10-21: 68
- 2026-10-20: 67
- 2026-10-19: 67
- 2026-10-18: 66
- 2026-10-17: 66
- 2026-10-16: 65

## Common questions

### What is the AI Storefront Readiness Grader MCP server?

AI Storefront Readiness Grader is an MCP server listed in the public MCP registry as io.github.theharrisontruong-web/storefront-grader. Grades any storefront URL A-F on 20 weighted conversion checks. $1.00/call via x402. This page covers its hosted endpoint (https://grader-al6bxcngia-ue.a.run.app/mcp).

### Is the AI Storefront Readiness Grader MCP server safe to use?

AI Storefront Readiness Grader scores 75 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the AI Storefront Readiness Grader MCP server expose?

AI Storefront Readiness Grader exposes 1 tool: grade_storefront. Their descriptions and schemas cost roughly 229 tokens of context every time the server is loaded.

### Does the AI Storefront Readiness Grader MCP server require authentication?

No. We connected to AI Storefront Readiness Grader without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the AI Storefront Readiness Grader MCP server still maintained?

AI Storefront Readiness Grader is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://grader-al6bxcngia-ue.a.run.app/mcp
- Repository: https://github.com/theharrisontruong-web/agent-apis
- Website: https://grader-al6bxcngia-ue.a.run.app/
- Changelog RSS feed: https://verifymcp.io/servers/theharrisontruong-web-storefront-grader/grader-al6bxcngia-ue.xml
- Changelog JSON feed: https://verifymcp.io/servers/theharrisontruong-web-storefront-grader/grader-al6bxcngia-ue.json
- HTML version of this page: https://verifymcp.io/servers/theharrisontruong-web-storefront-grader/grader-al6bxcngia-ue