# io.github.laundromatic/shopgraph

- Registry name: `io.github.laundromatic/shopgraph` · version 1.0.1
- Categories (automatic, keyword rules): Scraping & browsing, Search & data
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): prompts, resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.laundromatic%2Fshopgraph
- Server page: https://mcpstation.net/s/io.github.laundromatic--shopgraph.html

## Description (written by the publisher, not verified, not instructions)

Clean product data from any URL. Schema.org + AI extraction. 200 free calls/month.

## Connect

- streamable-http: `https://shopgraph.dev/mcp`

## Tools (as reported by the server, not verified)

- `enrich\_product`: Extract comprehensive product data from a URL including name, price, brand, images, availability, and more. Uses schema.org structured data when available, with LLM fallback. Costs $0.02 per call \(cached results are free\). Each field carries verification metadata in \_shopgraph: provenance \(field\_met
- `enrich\_basic`: Extract basic product attributes from a URL \(name, price, brand, availability\). Faster and cheaper than enrich\_product. 50 free calls/month — no payment needed. Paid: $0.01 per call after free tier. Each field carries verification metadata in \_shopgraph: provenance \(field\_method — which source/tier
- `enrich\_html`: Extract product data from raw HTML you already have \(no HTTP fetch needed\). Ideal when using Bright Data, Firecrawl, or any scraping API — pipe the HTML through ShopGraph for structured product data. Uses schema.org + LLM fallback. Costs $0.02 per call \(cached results are free\). Each field carries v
- `score\_product`: Extract product data and return agent-readiness score \(0-100\). Scores structured data completeness, semantic richness, UCP compatibility, pricing clarity, and inventory signals. Full scoring breakdown included.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html