MCP server

Storefront Check

com.profitpather.tools/storefront-check

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Audit any storefront from outside: ad tags, dead-tag detection, AI crawler access, feed readiness.

Source

At a glance

Type

MCP server

Publisher

profitpather.com (verified by the MCP Registry)

Status

Working at last check

Tools

4

Token cost

About 704 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http storefront-check https://tools.profitpather.com/store/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.storefront-check]
url = "https://tools.profitpather.com/store/mcp"

Gemini CLI

{"mcpServers":{"storefront-check":{"httpUrl":"https://tools.profitpather.com/store/mcp"}}}

Cursor

{"mcpServers":{"storefront-check":{"url":"https://tools.profitpather.com/store/mcp"}}}

VS Code

{"servers":{"storefront-check":{"type":"http","url":"https://tools.profitpather.com/store/mcp"}}}

Antigravity

agy mcp add storefront-check https://tools.profitpather.com/store/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"storefront-check","server_url":"https://tools.profitpather.com/store/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"storefront-check","server_url":"https://tools.profitpather.com/store/mcp"}

Tools

• audit_product_feed ~164 tokens
  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.
• check_agent_readiness ~153 tokens
  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 assis
• check_structured_data ~146 tokens
  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.
• detect_tracking_tags ~241 tokens
  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

Browse

• Web scraping
• Website monitoring
• Online shops
• Email marketing

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