Storefront Check
Audit any storefront from outside: ad tags, dead-tag detection, AI crawler access, feed readiness.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"storefront-check": {
"url": "https://tools.profitpather.com/store/mcp"
}
}
}Remote endpoints
https://tools.profitpather.com/store/mcpstreamable-httpWhat it can do
Tool inventory
Tools (4)
🟢detect_tracking_tags(url, verify_google_ids)
Reads a public storefront and reports every advertising, analytics and marketing tag visible in its HTML, with the actual measurement ids. It then verifies each Google id against Google Tag Manager, because an id Google does not recognise returns 404 and silently stops gtag from initialising, which means a campaign can spend for months while recording zero conversions. Use this to explain why conversion tracking is wrong, or to see what a store you have no access to is running.
Input Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The storefront URL, for example example.com or https://example.com."
},
"verify_google_ids": {
"type": "boolean",
"description": "Check each Google id against Google Tag Manager to catch dead ids. Default true."
}
},
"required": [
"url"
]
}🟢check_agent_readiness(url)
Determines whether an AI agent can actually discover and parse a store: whether robots.txt permits each major AI crawler by name, whether a sitemap, llms.txt, product feed or MCP endpoint exists, and whether the catalogue is machine readable. Use this when asked why a store never appears in AI assistants or agent shopping results.
Input Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The store's domain, for example example.com."
}
},
"required": [
"url"
]
}🟢check_structured_data(url)
Parses every JSON-LD block on a page and reports the schema.org types found, blocks that fail to parse, and whether the types a shopping agent looks for are present. Point it at a product page to check Product and Offer markup, or at a homepage to check Organization and WebSite.
Input Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The exact page URL to inspect. Use a product URL to check Product markup."
}
},
"required": [
"url"
]
}⚪audit_product_feed(url, limit)
Reads a Shopify store's public products.json and reports what would break a Google Merchant Center or Meta catalogue feed: missing barcodes, absent weights, unpriced or unavailable variants, and thin descriptions. Shopify-only, because products.json is a Shopify endpoint.
Input Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The Shopify store domain, for example example.com."
},
"limit": {
"type": "integer",
"description": "How many products to sample, 1 to 250. Default 250."
}
},
"required": [
"url"
]
}Community
Evidence