io.neonjelly/mcp

Tools

• assortment_watch

  List new and removed SKUs plus bestseller enter/exit. Filter by storeDomain or productType when the user names a shop or category.

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• brief_market

  Return a one-page TAM brief: vertical size, geos, movers, and an optional filtered cohort from 1.37M stores. Pass a vertical; quote catalog counts only — do not invent TAM.

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• change_tracker

  Return a full change board: unified feed, all 8 product change types, 5 store change types, and Signals SKU changes if watched. Prefer this over calling each change tool separately.

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• cohort_tam

  Roll a filtered store cohort into a groupBy table (country, vertical, industry, category). This is not the unfiltered get_countries TAM — use that when no filters apply.

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• compare_stacks

  Compare 2–8 store app stacks: shared vs exclusive apps, tagged by role (email, support, reviews, subs, ads). Pass hostnames, not brand names.

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• compare_stores

  Compare 2–8 store cards side by side (traffic, revenue band, apps, rating). Missing domains land in notFound — do not invent the missing rows.

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• competitor_moves

  List catalog store and SKU changes plus vertical movers for one competitor domain. Ads and daily units need a paid Signals watch — do not offer create_signal on trial.

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• create_signal

  Paid plans only (trial 403). Create a Signals watch on a competitor domain for ads, units, inventory, and social. Tight watch cap; meters the key. No probe, no scrape.

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• diligence_pack

  Build an IC memo for one domain: card, growth, traffic, stack roles, bestsellers, changes, and contacts. Includes Signals stats only if that domain is already watched.

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• find_outreach

  Filter the 1.37M-store catalog, hydrate each row, and keep stores that have an email or Instagram. Caps at 10 (each costs a call) — country is a filter, not a login region.

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• find_peers

  Find stores in the same vertical, country, and visit band as a target domain, then compare cards. Call resolve_store first if you only have a brand name.

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• get_analytics_overview

  Return catalog coverage: store/SKU counts, averages, top verticals and countries. Quote these snapshot figures only — do not invent traffic totals.

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• get_app

  Return one Shopify app plus an install-base sample. Copy slug from search_apps, then get_app_stores for the merchant list.

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• get_app_stores

  List merchants observed running a Shopify app, sorted by visits. Use for “who uses Klaviyo?” store lists — country filters live on search_stores, not here.

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• get_changes

  Return the unified store + product movement feed. Prefer change_tracker when the user wants every change type on one board.

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• get_contacts

  Return emails, social URLs, and ESP/support app tells for one store. No phone or owner names in this catalog — pass domain or q.

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• get_countries

  Return unfiltered geo TAM (store counts by country). Pass vertical to slice one market; a filtered cohort belongs on search_stores groupBy=country.

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• get_examples

  Same playbook map as list_playbooks (VC, competitor, dropship, outreach). Prefer list_playbooks on new sessions.

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• get_movers

  List stores growing or shrinking on visits or modeled revenue. Defaults: metric/direction any, minPct 5. Quote catalog movers only.

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• get_product

  Return one SKU by store domain plus Shopify handle. Use get_store_products or product_search when you do not yet have the handle.

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• get_product_changes

  List price, new, removed, position, and bestseller SKU movements. Filter by storeDomain or productType; default noise floor is minPriceChangePct.

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• get_product_research

  Return the saturation report for one product idea. Copy id from search_product_ideas or niche_research — do not invent seller counts.

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• get_signal

  Paid plans only (trial 403). Return one signal card. id is a Mongo id or a domain already on Signals.

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• get_signal_ads

  Paid plans only (trial 403). Return the ad library or a slice (overview default). No probe — domain must already be on Signals.

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• get_signal_apps

  Paid plans only (trial 403). Return apps observed on a tracked store. Set changes=true for app change history.

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• get_signal_insights

  Paid plans only (trial 403). Return the insight feed for one watched domain. Prefer this over list_signal_insights.

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• get_signal_inventory

  Paid plans only (trial 403). Return the stock timeline for a watched store. Domain must already be on Signals.

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• get_signal_product_changes

  Paid plans only (trial 403). Return product movements on a tracked store. Catalog-wide SKU moves use get_product_changes.

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• get_signal_sales

  Paid plans only (trial 403). Return daily units and variants. Needs ≥2 inventory snapshots on the watch — do not invent unit counts.

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• get_signal_social

  Paid plans only (trial 403). Return follower snapshots for a watched store. Domain must already be on Signals.

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• get_signal_stats

  Paid plans only (trial 403). Return totals plus store profile for a signal. Domain must already be on Signals.

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• get_store

  Return one merchant card: traffic, modeled revenue, rating, apps, and socials. Call resolve_store first if you only have a brand name — missing domains stay not_found.

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• get_store_apps

  List Shopify apps detected on one merchant. Use compare_stacks when the user wants shared vs exclusive apps across several domains.

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• get_store_changes

  List observation diffs for one store: revenue, visits, products, rating, apps. For a mixed product+store board, prefer change_tracker.

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• get_store_history

  Return daily snapshots: visits, revenue band, rating, and product counts, up to 365 days. Use for growth charts after get_store.

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• get_store_products

  List SKUs for one merchant with price, vendor, type, and bestseller filters. Prefer this over global search_products when you already have a domain.

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• get_store_traffic

  Return monthly visits and channel mix for one store. Use after get_store when the user asks how traffic is trending.

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• get_upstream_health

  Return catalog health JSON and whether auth is required. Use when a lookup fails unexpectedly — not for store research.

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• get_verticals

  Return market size by vertical (store counts and averages). Pass countryCode to slice one geo — for a filtered cohort, use search_stores with groupBy=vertical.

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• list_playbooks

  List composed-tool playbooks by job: store lists, VC, competitor, dropship, outreach, merch. Start here when the user has not named a tool — then call the playbook's first tool.

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• list_product_sellers

  List stores selling a product idea, sorted by traffic or price. Copy id from search_product_ideas — this is who-sells-this, not a single merchant SKU list.

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• list_signal_insights

  Paid plans only (trial 403). Account-wide insight feed — often empty unless the key owns watches. Prefer get_signal_insights with a domain already on Signals.

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• list_signals

  Paid plans only (trial 403). List Signals watches stored on this Neonjelly key. Then GET a domain that is already on Signals — do not advertise this on trial.

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• niche_research

  Run semantic product-idea search plus a saturation report and the stores that sell the top hit. q is a product name or category, not a domain — quote seller count and the UNTAPPED→SATURATED verdict.

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• overlap_vendors

  Find product-vendor overlap and the average price gap between two stores. Use after compare_stacks when you need shared suppliers, not shared apps.

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• price_watch

  List price decreases and increases across stores or one merchant. Default minPriceChangePct is 10 — raise it to cut noise.

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• product_intel

  Build one SKU memo: card, discount vs compare-at, store, SKU change history, and store bestsellers. Pass domain+handle, or q to resolve first.

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• product_search

  Search cross-store SKUs and return rows plus facets (vendors, types, stores, price band). At least one filter is required. For saturation / who-sells-this-idea, use niche_research.

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• resolve_store

  Resolve a brand name or URL against 1.37M Shopify storefronts and return up to 5 candidates. On a single hit, also return the full store card — call this before inventing a domain; missing stores stay not_found.

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• screen_dropship

  List dropship-flagged stores in a vertical/geo plus their cheapest SKUs. Country is a filter, not a login region — quote the catalog flag, do not invent supplier names.

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• search_apps

  Search the Shopify App Store catalog by name, category, pricing, or rating. Follow a slug with get_app_stores to see which merchants run it.

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• search_product_ideas

  Search product names/categories and return ideas with seller count, price, and UNTAPPED→SATURATED verdict — not one-store listings. Prefer niche_research when the user asks “is this saturated?”

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• search_products

  Search SKUs across the 368.9M-product catalog. At least one filter is required. For saturation or who-sells-this-idea, use niche_research.

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• search_stores

  Filter 1.37M Shopify stores into a list (emails/socials live on the card) or roll them up with groupBy. Without groupBy you get store cards; with groupBy you get breakdown rows, not stores. Country is a filter, not a login region.

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• source_map

  Group a SKU search by vendor: store count and price min/max across the catalog. Use for sourcing or arbitrage after niche_research names the product.

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• suggest_product_ideas

  Autocomplete product-idea names as the user types. Follow with search_product_ideas or niche_research on the chosen row.

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• trending_product_ideas

  List product ideas the catalog marks as heating up. Pair a hit with get_product_research and list_product_sellers — do not invent trend scores.

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• upgrade

  Return the paid upgrade URL when trial expired, daily quota is 0, or Signals is blocked. Does not count against quota. Always show the returned URL — never invent a checkout link.

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• whoami

  Return this key's plan, used today, remaining quota, rate limit, and expiry. Does not count against daily quota — call first when the user asks “what's my quota?” If remaining is 0 or trial expired, call upgrade and open the URL.

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• winning_skus

  List bestsellers, ≥10% markdowns, and new products for a vertical or one store. Require storeVertical or storeDomain — do not call empty.

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Embed this server’s score

Tool count and median score across every tool in this server’s corpus — honest in a way a single cherry-picked tool’s badge wouldn’t be.

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