# AMZScout Skill Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## AMZScout Skill

Research Amazon products, niches, keywords and pricing to find sourcing and reselling opportunities.

- Record: https://musedirectory.ai/connector/amzscout-skill
- Category: Shopping & Commerce
- Developer: AMZScout (https://learn.amzscout.net/amazon-product-api-for-ai-agents)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 897ms, checked 2026-09-28T07:46:08Z
- Endpoint: https://chatbot.amzscout.net/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-09-25T05:06:14Z)
- Source: Found in the official MCP Registry (io.github.amzscout-corp/amzscout-skill-mcp) https://registry.modelcontextprotocol.io/v0/servers?search=io.github.amzscout-corp%2Famzscout-skill-mcp

Connects to AMZScout's Amazon research data. Analyze individual products by ASIN for sales estimates, pricing and reviews. Compare products or niches head-to-head. Search keywords for PPC and SEO data. Track buy box ownership and competitor pricing. Find products by brand or search term.

Example request: "Show me the top 10 products in the yoga mat niche on Amazon US, ranked by revenue, so I can find a gap to enter."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use AMZScout Skill to help me. It is a free service with an MCP server at https://chatbot.amzscout.net/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- amzscout_analyze_product: 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
- amzscout_analyze_niche: 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 attra
- amzscout_compare_products: 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 d
- amzscout_compare_niches: 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
- amzscout_analyze_product_set: 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 i
- amzscout_reseller_amazon: 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-tim
- amzscout_search_products: 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 t
- amzscout_find_by_brand: 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
- amzscout_get_keywords: 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). Every keyword row carries search volume, average sales, CPC and trend; ASIN-scope rows ALSO carry this product
- amzscout_search_knowledge: 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_tool: 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_usage: 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_asin: 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, 

Screening checks:
- MCP handshake: pass (Answered in 1049ms)
- Domain against threat feeds (Cloudflare security DNS): pass (chatbot.amzscout.net, learn.amzscout.net not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (13 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 3663 days ago)
- AI review of purpose and tool behavior: pass (No concerns)