AS

AMZScout Skill + MCP

io.github.amzscout-corp/amzscout-skill-mcp

Amazon research from AMZScout data: analyze products & niches, keywords/PPC, and brand catalogs.

Yes, your AI can use this right now.Answered a live MCP handshake in 645 ms with no sign-in needed and exposes 13 tools.

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URL: https://chatbot.amzscout.net/mcp

13 tools, verified live

Pulled straight from the server with tools/list on 2026-10-17.
amzscout_analyze_productread-only

Full raw data for a single Amazon product by ASIN — price, estimated sales/revenue, reviews, rating, listing quality, sellers, plus sales/price/revenue history when available. Pure data fetch (no AI analysis) — reason over the returned data yourself. How to use: audit the product like a sourcing analyst — demand trend & seasonality from sales history, pricing direction & margin risk from pri

amzscout_analyze_nicheread-only

Market snapshot for an Amazon niche/keyword — top products by revenue plus computed aggregates (price/sales/revenue/review distributions, revenue concentration, brand spread). Pure data fetch (no AI analysis) — reason over the returned data yourself. How to use: judge niche attractiveness — demand concentration (revenueTop5SharePercent: high = winner-takes-all, low = fragmented/open), price

amzscout_compare_productsread-only

Side-by-side raw data for 2–5 Amazon products by ASIN — price, sales/revenue estimates, reviews, listing quality, plus history when available. Pure data fetch (no AI analysis) — 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-only

Raw head-to-head data for 2–5 Amazon niches / category keywords — per-niche product sets plus computed aggregates (price/sales/revenue distributions, revenue concentration, brand spread). Pure data fetch (no AI analysis) — 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-only

Raw data across an explicit set of 2–100 ASINs — product rows plus computed aggregates (price/sales/revenue/review distributions, revenue concentration, brand spread). Pure data fetch (no AI analysis) — 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 — segment products into group

amzscout_reseller_amazonread-only

Buy box, competing offers and price/rank statistics for one Amazon ASIN — 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-only

Keyword search against Amazon — 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 — tho

amzscout_find_by_brandread-only

List 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 — lineup breadth, price range, which products carry the revenue, and

amzscout_get_keywordsread-only

Amazon keyword / SEO / PPC data for either a single product (ASIN-scope — terms the product ranks for) or a niche/category (keyword-scope — 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") — the reply gives the exact-match row as the answer and lists look-alike keywords with ex

amzscout_search_knowledgeread-only

TF-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-only

Given 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-only

The caller's AMZScout AI-agents token balance — remaining, used, and limit. Free — 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-only

Find 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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