Neonjelly

Neonjelly answers the question every Shopify seller, dropshipper and product researcher asks: what is this competitor actually doing? Type a brand into the search box and you get a merchant card with estimated monthly visits, a revenue estimate, the third-party apps the storefront loads (Klaviyo, Gorgias, Shop and so on), and a feed of recent price changes. Because the catalog is indexed continuously, the answer reflects what changed this week rather than a snapshot from last quarter.

The distinctive part is how the data is delivered. Instead of forcing you into a dashboard, Neonjelly ships an MCP (Model Context Protocol) server listed on the MCP Registry and Smithery, plus a public GitHub repository and an npm-installable CLI. That means you can open Cursor or Claude, connect the Neonjelly catalog in about a minute, and keep asking conversational questions — "list 20 US skincare shops with emails", "who cut prices this week", "are yoga mats crowded?" — and get tables back instead of writing a scraping script.

Beyond single-store lookups the platform includes a product finder (type a product, see every Shopify shop selling it and the price spread), trending-product detection based on which products are gaining new sellers, and market-level analytics such as product saturation and seller counts. A free playground lets you run sample queries in the browser without an API key. Pricing starts with a 14-day trial at no cost, then paid tiers at $29, $79 and $199 per month depending on daily lookup limits and how many shops you can watch over time.