Hologrow
The e-commerce data layer for any AI
Ads
Overview
The commerce data layer for AI. Connect Amazon, Google Ads, GA4, and other selling systems once. Hologrow keeps the data synced, then MCP lets Claude, Cursor, Codex, ChatGPT, and other agents query it — without CSV exports or one-off API scripts. Hosted at mcp.hologrow.ai. Console at connector.hologrow.ai. Docs at docs.hologrow.ai. - Built for the tools you already use: Connect once, then ask questions in Claude, Cursor, Codex, ChatGPT, Doubao, or Hermes - LLM-ready commerce data: Stable tables for Amazon SP, Amazon Ads, Google Ads, GA4, Search Console, Shoplazza, and Lingxing ERP - We handle the hard stuff: Platform OAuth, sync, freshness, and schema — agents only read - Read-only by default: MCP never writes back to ad accounts or storefronts - Agent ready: Five discovery tools plus analysis skills you can install with one command
Installation
npx skills@latest add hologrow/hologrow-mcp --skill hologrow-data-middleware --global --yes
Configuration
{
"mcpServers": {
"Hologrow": {
"url": "https://mcp.hologrow.ai/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}Capabilities
- Discover connected data sources
Ask your assistant to call `list_platforms` to see which platforms are connected and their sync status.
- Explore available tables
Use `list_tables` to see queryable tables for a specific platform like Amazon or Google Ads.
- Inspect table schemas
Call `get_data_dictionary` with table names to view columns, types, and field descriptions before writing SQL.
- Check data freshness
Use `get_freshness` to verify sync coverage and last successful refresh for a schema before analyzing.
- Run read-only SQL queries
Ask `query_db` to execute a single `SELECT` statement against `schema_name.table` with filters and limits.
- Install analysis skills
Add pre-built workflows like `amazon-ppc-campaign` or `google-ads-audit` via `npx skills@latest add` for guided analysis.
Tags
- ecommerce
- data-analysis
- ai-agent
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