AMZScout Skill + MCP server
Amazon research from AMZScout data: analyze products & niches, keywords/PPC, and brand catalogs.
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AMZScout Skill + MCP tools (11)
write = sends, deletes, buys or postsamzscout_analyze_nicheFreeMarket 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 bands and where the money sits, review counts as entry moats, brand dominance vs no-name spread, and standout products (high sales + weak rating/reviews = displacement opportunity).
amzscout_analyze_productFreeFull 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 price history and FBA fees, competition from sellers/reviews, listing quality from LQS, then conclude whether a new seller should enter (GO / NO-GO and what it would take).
amzscout_analyze_product_setFreeRaw 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 groups, spot where demand concentrates, flag outliers (price, sales, review anomalies), and summarize group-level signals.
amzscout_compare_nichesFreeRaw 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 concentration) and price levels per niche, then give a verdict on which niche is the better opportunity for a new seller and under what conditions.
amzscout_compare_productsFreeSide-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 (growing vs declining), then give a verdict on which product is the stronger opportunity and why.
amzscout_find_by_brandFreeList 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 how strong its review moat is.
amzscout_get_keywordsFreeAmazon 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's own placement for that term — organic rank + page, sponsored page, and relevance score (rows the product does not rank for are marked "not ranking"). Pure data fetch (no AI analysis). How to use: pick high-volume / low-competition terms for SEO and PPC targeting, use CPC as ad-cost pressure, sum search volumes to gauge niche demand, and for ASIN-scope check organic vs sponsored ranks to spot listing-optimization gaps.
amzscout_recommend_toolFreeGiven 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_search_knowledgeFreeTF-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_search_productsFreeKeyword 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 — those are the entry-opportunity signals.
amzscout_usageFreeThe 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.
Public scan report
scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 838ms20/20
- Tool poisoning11 tool descriptions checked15/15
- Auth qualityopen endpoint, read-only tools10/15
- Maintenancelast push 8 days ago15/15
- Maintainer identityregistry namespace matches repository owner7/10
What the publisher says
From the AMZScout Skill + MCP repository's README, as published. We do not edit it. Read it on GitHub
Official AMZScout Skill + MCP for AI
Connect your AI to real Amazon marketplace data with the official AMZScout Skill + MCP.
Get your API key here: https://learn.amzscout.net/amazon-product-api-for-ai-agents
Connection
This is a remote (hosted) MCP server — Streamable HTTP transport. Point your MCP client at the endpoint below; there is nothing to install.
- MCP endpoint (Streamable HTTP): https://chatbot.amzscout.net/mcp
- Transport: streamable-http (a legacy SSE endpoint is also available at https://chatbot.amzscout.net/mcp/sse)
- Authentication: send your AMZScout API key as the Authorization: Bearer header (or ?key= in the URL). Get a key at https://learn.amzscout.net/amazon-product-api-for-ai-agents
{
"mcpServers": {
"amzscout": {
"type": "streamable-http",
"url": "https://chatbot.amzscout.net/mcp",
"headers": { "Authorization": "Bearer YOUR_AMZSCOUT_API_KEY" }
}
}
}Unlike a traditional MCP server that simply exposes APIs, AMZScout combines live marketplace data with proprietary analytical algorithms developed specifically for Amazon research. Instead of returning raw marketplace data, it delivers structured marketplace intelligence that AI assistants can immediately use to answer Amazon-related questions more accurately.
Whether you're validating product ideas, researching competitors, discovering keywords, optimizing listings, or building PPC campaigns, AMZScout helps your AI make data-driven decisions based on real Amazon marketplace data - not assumptions.
[!IMPORTANT]
AMZScout provides AI-powered marketplace analysis based on Amazon marketplace data. AI-generated responses are intended for informational purposes only. Please review the Disclaimer section below for important legal information.
Table of Contents
- Features
- Supported AI Clients
- Supported Amazon Marketplaces
- Supported Capabilities
- Available Tools
- Use Cases
- How It Works
- Prompt Library
- Quick Start
- Installation Guides
- MCP Server
- Support
Features
- 📊 Real Amazon marketplace data
- 🔍 Product opportunity discovery
- 📈 Niche validation
- 🏆 Competitor analysis
- 🔑 Keyword research
- ✍️ Listing optimization
- 🎯 PPC strategy generation
- 💰 Sales estimates
- 📉 Historical marketplace trends
- 💵 Pricing analysis
- 🤖 AI-ready structured responses
- 🧠 Marketplace intelligence powered by AMZScout
Supported AI Clients
Officially supported AI clients:
- Claude
- ChatGPT (Plus and higher)
- Cursor
- CrewAI
- OpenClaw
Other MCP-compatible AI clients are also supported.
Supported Amazon Marketplaces
AMZScout provides marketplace data across all major Amazon marketplaces:
- 🇺🇸 United States
- 🇨🇦 Canada
- 🇲🇽 Mexico
- 🇧🇷 Brazil
- 🇬🇧 United Kingdom
- 🇩🇪 Germany
- 🇫🇷 France
- 🇮🇹 Italy
- 🇪🇸 Spain
- 🇦🇺 Australia
- 🇯🇵 Japan
- 🇮🇳 India
Supported Capabilities
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Install directly
claude mcp add --transport http amzscout-skill-mcp https://chatbot.amzscout.net/mcp
AMZScout Skill + MCP: common questions
- Is AMZScout Skill + MCP server safe?
- Yes, by our scan: it is graded A (89/100). Read the AMZScout Skill + MCP safety report
- How do I install AMZScout Skill + MCP?
- It runs remotely at chatbot.amzscout.net. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does AMZScout Skill + MCP need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is AMZScout Skill + MCP maintained?
- The last commit was 8 days ago (2026-09-16). The latest release is v1.0.0.
- Is AMZScout Skill + MCP up?
- 100% of our last 20 checks got an answer. We check remote servers about four times a day.
- What can I use instead of AMZScout Skill + MCP?
- Servers from other publishers that do the same job: HasData Amazon MCP server, Amazon MCP server and DataDive MCP server. Compare all AMZScout Skill + MCP alternatives.
Alternatives to AMZScout Skill + MCP
Same job from other publishers: the closest match first, then the best rated.
- HasData AmazonAmazon keyword search, product details, seller profiles and seller catalogues, as structured JSON.not reviewedGrowingA
- AmazonAmazon data MCP: products, reviews, niches, WIPO design/IP + US litigation, AI search & trends.not reviewedGrowingB
DataDiveAmazon niche, keyword, competitor and Rank Radar research from your DataDive account.not reviewedGrowingA
BuywhereAgent-native product catalog: 300M+ products, 150,000+ stores, deliver_to ranking.not reviewedGrowingA
Apiguru Amazon DataLive Amazon product, review, search, deal, offer/stock and seller data across 20 marketplaces.not reviewedGrowingA