MCP server

Shopgraph

io.github.laundromatic/shopgraph

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

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

Working at last checkAbout 1,800 tokens per request once connected4 tools

https://shopgraph.dev/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 4
Token cost: About 1,800 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

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 shopgraph https://shopgraph.dev/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.shopgraph]
url = "https://shopgraph.dev/mcp"

Gemini CLI

{"mcpServers":{"shopgraph":{"httpUrl":"https://shopgraph.dev/mcp"}}}

Cursor

{"mcpServers":{"shopgraph":{"url":"https://shopgraph.dev/mcp"}}}

VS Code

{"servers":{"shopgraph":{"type":"http","url":"https://shopgraph.dev/mcp"}}}

Antigravity

agy mcp add shopgraph https://shopgraph.dev/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":"shopgraph","server_url":"https://shopgraph.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"shopgraph","server_url":"https://shopgraph.dev/mcp"}

enrich_basic ~498 tokens
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 ~534 tokens
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
enrich_product ~506 tokens
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
score_product ~262 tokens
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.

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