# shopgraph MCP server

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

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-laundromatic-shopgraph
- Repository: https://github.com/laundromatic/shopgraph

## Install
- Command: `npx -y shopgraph`
- Endpoint: https://shopgraph.dev/mcp
- Auth: Not captured

## Setup notes
- Package: Npm shopgraph v1.0.1
- Remote endpoint: https://shopgraph.dev/mcp

## Tools
- 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). Endpoint: https://shopgraph.dev/mcp
- 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. Endpoint: https://shopgraph.dev/mcp
- 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). Endpoint: https://shopgraph.dev/mcp
- 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. Endpoint: https://shopgraph.dev/mcp

## Resources
- shopgraph://pricing - ShopGraph pricing and tool information MIME type: application/json

## Prompts
- enrich-example - Example of how to use ShopGraph to extract product data from a URL Arguments: url

## Metadata
- Owner: io.github.laundromatic
- Version: 1.0.1
- Runtime: Npm
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Apr 4, 2026
- Source: https://registry.modelcontextprotocol.io