mcpbeat

AMZScout Skill + MCP Server

by amzscout-corp
answering

AMZScout Skill + MCP is answering right now. Last checked 2 min ago. It exposes 12 tools. Last commit 4 Aug 2026.

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

Uptime history 5 hours of history
5 hours agonow
100.0%
Uptime 24h
17 of 17 checks
12
Tools
read from the server
591 ms
Response time
average over 24h
0
Stars
last commit 4 Aug 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

run in your terminal
claude mcp add amzscout-skill-mcp --transport http https://chatbot.amzscout.net/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "amzscout-skill-mcp": {
      "url": "https://chatbot.amzscout.net/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.amzscout-skill-mcp]
url = "https://chatbot.amzscout.net/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "amzscout-skill-mcp": {
      "url": "https://chatbot.amzscout.net/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "amzscout-skill-mcp": {
      "url": "https://chatbot.amzscout.net/mcp"
    }
  }
}

Available tools 12

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

amzscout
amzscout-agent
AMZScout all-in-one Amazon research assistant. Ask anything in natural language ("Is B07GQF9D1Z worth selling?", "Analyze the yoga mat niche", "Find products for brand Anker") and it returns a finished analysis — it pulls live Amazon data and runs the right analyses internally, so no sub-tool selection is needed. Best for a hands-off answer; the granular amzscout_* tools are the alternative when step-by-step orchestration is preferred. Returns a complete, user-ready report.
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 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_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 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_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 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_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 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_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 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_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. 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_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). Returns keyword rows with search volume, CPC, and competition where available. 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_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_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_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 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_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.

Endpoints

URLTransportStateLatencyChecked
https://chatbot.amzscout.net/mcp streamable-http answering 589 ms 2 min ago

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AMZScout Skill + MCP — questions

Answers built from our own checks of this server.

What can AMZScout Skill + MCP do?
It exposes 12 tools, read directly from the server on our last check. Among them: amzscout-agent, amzscout_analyze_niche, amzscout_analyze_product, amzscout_analyze_product_set, amzscout_compare_niches, amzscout_compare_products and 6 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is AMZScout Skill + MCP working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 17 of 17 checks got a reply (100.0%), average response time 591 ms. The bar chart above shows every period we have measured.
How do I connect AMZScout Skill + MCP?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does AMZScout Skill + MCP need an API key?
No. AMZScout Skill + MCP completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 12 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is AMZScout Skill + MCP?
It answers our handshake in 591 ms on average, which is faster than 18% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is AMZScout Skill + MCP open source?
Yes — it is published under the MIT licence and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.