MCP server

Catalog Attribute Normalizer

com.acjlabs/catalog-normalizer

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

Catalog attribute normalizer, taxonomy-grounded — no fabricated Google/Shopify category IDs.

Working at last checkVerified publisher: acjlabs.comAbout 618 tokens per request once connected1 tools

https://catalog-normalizer.acjlabs.com/mcp

At a glance

Type: MCP server
Publisher: acjlabs.com (verified by the MCP Registry)
Status: Working at last check
Tools: 1
Token cost: About 618 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 catalog-normalizer https://catalog-normalizer.acjlabs.com/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.catalog-normalizer]
url = "https://catalog-normalizer.acjlabs.com/mcp"

Gemini CLI

{"mcpServers":{"catalog-normalizer":{"httpUrl":"https://catalog-normalizer.acjlabs.com/mcp"}}}

Cursor

{"mcpServers":{"catalog-normalizer":{"url":"https://catalog-normalizer.acjlabs.com/mcp"}}}

VS Code

{"servers":{"catalog-normalizer":{"type":"http","url":"https://catalog-normalizer.acjlabs.com/mcp"}}}

Antigravity

agy mcp add catalog-normalizer https://catalog-normalizer.acjlabs.com/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":"catalog-normalizer","server_url":"https://catalog-normalizer.acjlabs.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"catalog-normalizer","server_url":"https://catalog-normalizer.acjlabs.com/mcp"}

normalize_catalog ~618 tokens
Normalizes a batch of catalog products (attribute canonicalization/extraction + category-path mapping into the requested target taxonomies: google, shopify, amazon). Returns one result per input product, same order: a NormalizedProduct on success, or { error, source_title } if that specific product'

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