productschema
Audit a store's product page and get the JSON-LD Product markup it is missing. No account.
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": {
"productschema": {
"url": "https://productschema.pages.dev/mcp"
}
}
}Remote endpoints
https://productschema.pages.dev/mcpstreamable-httpWhat it can do
Tool inventory
Tools (1)
🟢audit_product_page(url)
Checks whether an online store can be read and cited by AI shopping assistants, and returns a ready-to-paste JSON-LD Product snippet built from what is actually on the page. Measures: which AI crawlers robots.txt lets in, whether the page renders without JavaScript, which Product fields (price, availability, GTIN, rating, returns, shipping) are present in structured data, title/meta, and sitemap reachability. Everything reported is derived from bytes fetched live — no estimates. Give it a storefront domain or a direct product URL; a product page gives the most useful result.
Input Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "Store domain or product URL, e.g. \"example.com\" or \"https://example.com/products/thing\"."
}
},
"required": [
"url"
],
"additionalProperties": false
}Community
Evidence