AMZScout Skill + MCP
Amazon research from AMZScout data: analyze products & niches, keywords/PPC, and brand catalogs.
Connect it
Settings → Connectors → Add custom connector
URL: https://chatbot.amzscout.net/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://chatbot.amzscout.net/mcp{
"mcpServers": {
"amzscout-skill-mcp": {
"url": "https://chatbot.amzscout.net/mcp"
}
}
}claude mcp add --transport http amzscout-skill-mcp https://chatbot.amzscout.net/mcp{
"servers": {
"amzscout-skill-mcp": {
"type": "http",
"url": "https://chatbot.amzscout.net/mcp"
}
}
}13 tools, verified live
amzscout_analyze_productread-onlyFull raw data for a single Amazon product by ASIN â price, estimated sales/revenue, reviews, rating, listing quality, sellers, plus sales/price/revenue history when available. Pure data fetch (no AI analysis) â reason over the returned data yourself. How to use: audit the product like a sourcing analyst â demand trend & seasonality from sales history, pricing direction & margin risk from pri
amzscout_analyze_nicheread-onlyMarket snapshot for an Amazon niche/keyword â top products by revenue plus computed aggregates (price/sales/revenue/review distributions, revenue concentration, brand spread). Pure data fetch (no AI analysis) â reason over the returned data yourself. How to use: judge niche attractiveness â demand concentration (revenueTop5SharePercent: high = winner-takes-all, low = fragmented/open), price
amzscout_compare_productsread-onlySide-by-side raw data for 2â5 Amazon products by ASIN â price, sales/revenue estimates, reviews, listing quality, plus history when available. Pure data fetch (no AI analysis) â do the comparison yourself. For a single ASIN, analyzeProduct is the equivalent. How to use: compare demand (est. sales), revenue, review moat and rating, price positioning, listing quality, and history trends (growi
amzscout_compare_nichesread-onlyRaw head-to-head data for 2â5 Amazon niches / category keywords â per-niche product sets plus computed aggregates (price/sales/revenue distributions, revenue concentration, brand spread). Pure data fetch (no AI analysis) â do the comparison yourself. For ASINs, compareProducts is the equivalent. How to use: weigh demand (total est. revenue/sales) against competition (review levels, brand con
amzscout_analyze_product_setread-onlyRaw data across an explicit set of 2â100 ASINs â product rows plus computed aggregates (price/sales/revenue/review distributions, revenue concentration, brand spread). Pure data fetch (no AI analysis) â reason over the returned data yourself. To discover products from a keyword instead, analyzeNiche is the equivalent. How to use: treat the set as a mini-market â segment products into group
amzscout_reseller_amazonread-onlyBuy box, competing offers and price/rank statistics for one Amazon ASIN â who owns the buy box and at what price, how ownership has split between sellers, FBA vs FBM offer counts, the live offer list with seller names and ratings, price levels over 30/90/180/365 days with all-time extremes, sales-rank drops, out-of-stock share, and buy box ownership history. Built for reseller / online-arbitrage
amzscout_search_productsread-onlyKeyword search against Amazon â returns the top N products with price, sales, revenue, reviews, rating. Pure data fetch (no AI analysis). Best when you need raw product rows (specific sort order or filters); analyzeNiche additionally returns computed market aggregates on top of the rows. How to use: scan the rows for demand leaders, price clusters, and low-review listings that still sell â tho
amzscout_find_by_brandread-onlyList products under a specific Amazon brand. Pre-validates the brand name via cached AI check, then filters keyword-search results to rows whose `brand` field actually matches. On no-match, returns the brands that did appear in the keyword pool so callers can suggest alternatives. How to use: assess the brand's Amazon footprint â lineup breadth, price range, which products carry the revenue, and
amzscout_get_keywordsread-onlyAmazon keyword / SEO / PPC data for either a single product (ASIN-scope â terms the product ranks for) or a niche/category (keyword-scope â search data around the term). Pass BOTH `asin` and `keyword` to get the product's position for exactly that keyword (e.g. "organic rank of B0... for standing lamp") â the reply gives the exact-match row as the answer and lists look-alike keywords with ex
amzscout_search_knowledgeread-onlyTF-IDF search across the AMZScout knowledge base (Amazon-seller tutorials, brand reference, glossary). Returns the top-K relevant chunks with title, source URL and text. Use this to ground answers in factual material.
amzscout_recommend_toolread-onlyGiven a user use-case, returns the AMZScout tools & Sellerhook services catalog (with tracking links) so you can recommend the right AMZScout product/feature. Use for "which AMZScout tool should I use for X" questions.
amzscout_usageread-onlyThe caller's AMZScout AI-agents token balance â remaining, used, and limit. Free â no tokens are charged for this call. How to use: answer "how many tokens do I have left", "what's my usage / balance / limit", or when a call fails on quota. Report the remaining figure first.
amzscout_locate_asinread-onlyFind which Amazon marketplaces list an ASIN, and get its product link on every marketplace (amazon.com, .co.uk, .de, .fr, .it, .es, .ca, .com.mx, .com.br, .in, .co.jp, .com.au, .ae, .sa). For each marketplace where it is listed: title, price in that marketplace's local currency, estimated monthly sales. Paid: 1 000 tokens per marketplace checked, per ASIN (14 000 per ASIN). How to use: call it ONL
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