AMZScout Skill + MCP Server

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AMZScout Skill + MCP is answering right now. Last checked 9 min ago. It exposes 11 tools. Last commit 16 Sep 2026.

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

Uptime history 50 days of history · worst day 89%

50 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

774 ms

Response time

average over 24h

Stars

last commit 16 Sep 2026

What changed 2

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 9 September 2026. No other catalogue keeps this.

16 Sep a tool disappeared amzscout-agent

9 Sep a tool description was rewritten amzscout_get_keywords

Tools have disappeared from this server

A tool that vanishes takes a piece of your agent with it, and the change arrives silently. Watch this server and every such change lands in your inbox.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

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 11

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

amzscout

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). 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_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.

Tools removed

Tools this server used to expose. Anything built against them stopped working on the day they went.

amzscout-agent

removed 16 Sep 2026

Endpoints

URL	Transport	State	Latency	Checked
https://chatbot.amzscout.net/mcp	streamable-http	answering	770 ms	9 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 11 tools, read directly from the server on our last check. Among them: amzscout_analyze_niche, amzscout_analyze_product, amzscout_analyze_product_set, amzscout_compare_niches, amzscout_compare_products, amzscout_find_by_brand and 5 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 91 of 91 checks got a reply (100.0%), average response time 774 ms. The bar chart above shows every period we have measured.

Did AMZScout Skill + MCP ever remove tools?

Yes. amzscout-agent is no longer exposed — we recorded the date each one disappeared. A tool vanishing usually means a breaking change for anything that depended on it.

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 11 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 774 ms on average, which is faster than 15% 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 1 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.