AMZScout Skill + is an MCP server with 12 tools an agent can call, among them amzscout-agent, amzscout_analyze_niche, amzscout_analyze_product. It answers at https://chatbot.amzscout.net/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 21 October 2026, succeeded.
Amazon research from AMZScout data: analyze products & niches, keywords/PPC, and brand catalogs.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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 a Inputs: message, history |
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 Inputs: keyword, marketplace, filters, count |
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 Inputs: asin, marketplace |
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 yoursel Inputs: asins, marketplace |
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 Inputs: keywords, marketplace, count |
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 Inputs: asins, marketplace |
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 Inputs: brand, marketplace, sort, count, filters |
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; Inputs: asin, keyword, marketplace |
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. Inputs: useCase |
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. Inputs: query, topK |
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 return Inputs: query, marketplace, sort, count, filters |
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. |
Every block below points at https://chatbot.amzscout.net/mcp. Pick your client and copy.
claude mcp add --transport http amzscout-skill https://chatbot.amzscout.net/mcp
{
"mcpServers": {
"amzscout-skill": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://chatbot.amzscout.net/mcp"]
}
}
}{
"mcpServers": {
"amzscout-skill": {
"url": "https://chatbot.amzscout.net/mcp"
}
}
}{
"servers": {
"amzscout-skill": {
"type": "http",
"url": "https://chatbot.amzscout.net/mcp"
}
}
}{
"context_servers": {
"amzscout-skill": {
"url": "https://chatbot.amzscout.net/mcp"
}
}
}{
"mcpServers": {
"amzscout-skill": {
"serverUrl": "https://chatbot.amzscout.net/mcp"
}
}
}{
"mcpServers": {
"amzscout-skill": {
"url": "https://chatbot.amzscout.net/mcp"
}
}
}name: AMZScout Skill +
version: 0.0.1
schema: v1
mcpServers:
- name: AMZScout Skill +
type: streamable-http
url: https://chatbot.amzscout.net/mcp{
"mcpServers": {
"amzscout-skill": {
"httpUrl": "https://chatbot.amzscout.net/mcp"
}
}
}{
"mcpServers": {
"amzscout-skill": {
"type": "http",
"url": "https://chatbot.amzscout.net/mcp"
}
}
}{
"mcpServers": {
"amzscout-skill": {
"url": "https://chatbot.amzscout.net/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fchatbot.amzscout.net%2Fmcp&type=streamable_http&id=amzscout-skill&name=AMZScout%20Skill%20%2B
It answered our last check on 21 October 2026 in 532 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
12, as returned by the server's own tools/list on 13 September 2026: amzscout-agent, amzscout_analyze_niche, amzscout_analyze_product, amzscout_analyze_product_set, amzscout_compare_niches, amzscout_compare_products, amzscout_find_by_brand, amzscout_get_keywords, and 4 more.
It answered our last check on 21 October 2026 in 532 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://chatbot.amzscout.net/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.amzscout-corp. Endpoint host: chatbot.amzscout.net. ARD identifier: urn:air:io.github.amzscout-corp:mcp:amzscout-skill-mcp.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.