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Search / io.github.amzscout-corp/amzscout-skill-mcp

AMZScout Skill + MCP

R0· no sign-in

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

v1.0.0 · active · repository · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality77good
Trust94of 100
Uptime, 30 days100%
Latency p50284 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "amzscout-skill-mcp": {
      "type": "http",
      "url": "https://chatbot.amzscout.net/mcp"
    }
  }
}
claude mcp add --transport http amzscout-skill-mcp https://chatbot.amzscout.net/mcp
[mcp_servers.amzscout-skill-mcp]
url = "https://chatbot.amzscout.net/mcp"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "amzscout-skill-mcp": {
      "type": "remote",
      "url": "https://chatbot.amzscout.net/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "amzscout-skill-mcp": {
      "type": "http",
      "url": "https://chatbot.amzscout.net/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=amzscout-skill-mcp&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vY2hhdGJvdC5hbXpzY291dC5uZXQvbWNwIn0%3D"
}
{
  "servers": {
    "amzscout-skill-mcp": {
      "type": "http",
      "url": "https://chatbot.amzscout.net/mcp"
    }
  }
}
{
  "mcpServers": {
    "amzscout-skill-mcp": {
      "httpUrl": "https://chatbot.amzscout.net/mcp"
    }
  }
}
extensions:
  "amzscout-skill-mcp":
    enabled: true
    name: "amzscout-skill-mcp"
    type: streamable_http
    uri: "https://chatbot.amzscout.net/mcp"
    timeout: 300

Quality 77 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene79 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • warn
    tools.description_length4 tools have descriptions over 1,024 characters, which crowds the context
  • pass
    tools.schemasevery tool has an object input schema
  • pass
    tools.annotations14 of 14 tools declare readOnlyHint or destructiveHint
  • fail
    tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: amzscout_analyze_product (idempotentHint); amzscout_compare_niches (idempotentHint); amzscout_find_by_brand (idempotentHint); …
  • pass
    tools.token_costabout 6,583 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability75 · weight 15
  • warn
    stability.changes14 tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

14 tools, about 6,583 tokens to load them all · tool set 69161371bc6b · tools last changed 2026-10-20 · checked 2026-10-20 22:23 UTC

Tool changes

  • amzscout_advanced_product_dataadded

    Extra catalog facts about one Amazon ASIN that amzscout_analyze_product does not include: bullet features, materials, included components, ingredients, hazmat info, UPCs and manufacturer; on request also frequently-bought-together / bundle ASINs, listing videos, return rate, brand store link and buy box seller history. No sales, price or review numbers — those come from amzscout_analyze_product. Pure data fetch (no AI analysis). When to call: together with amzscout_analyze_product whenever the user asks about one specific product (same ASIN and marketplace), so the answer carries the listing facts as well as the numbers. Call WITHOUT `sections` by default (returns catalog + identifiers); add relations / media / buybox only when the question is about them. How to use: describe what the product actually is and how it is positioned — key features, materials, what is in the box, compliance flags (hazmat, ingredients) — and point out what a competing listing would need to match or beat. Present facts as written on the listing; do not invent missing ones. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.

  • amzscout_analyze_productchangeddescription
    before

    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). Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.

    after · 89% of words in common

    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). Listing facts (features, materials, ingredients, UPC, videos) are NOT here — they come from amzscout_advanced_product_data (call both for the same ASIN). Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.

  • amzscout_get_keywordschangeddescription, input schema
    before

    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. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.

    after · 80% of words in common

    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). Pass BOTH `asin` and `keyword` to get the product's position for exactly that keyword (e.g. "organic rank of B0... for standing lamp") — the reply gives the exact-match row as the answer and lists look-alike keywords with extra symbols separately; never report a look-alike's rank for the requested keyword. 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. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.

  • amzscout_reseller_amazonchangeddescription
    before

    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-time extremes, sales-rank drops, out-of-stock share, and buy box ownership history. Built for reseller / online-arbitrage questions, not private-label research — for demand and revenue estimates use analyzeProduct instead. Pure data fetch (no AI analysis). IMPORTANT: call it first WITHOUT `sections` — the summary alone answers most questions, and the reply lists which sections hold data for this ASIN. Only request sections when the summary is not enough; asking for all six returns several KB of detail you will rarely need. How to use: judge whether the listing is worth reselling — Amazon in the buy box or a single seller holding most of it means little room, many FBA offers means price competition, high out-of-stock share means supply gaps you could fill, and rank drops indicate how fast it sells.

    after · 80% of words in common

    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-time extremes, sales-rank drops, out-of-stock share, and buy box ownership history. Built for reseller / online-arbitrage questions, not private-label research — for demand and revenue estimates use analyzeProduct instead. Pure data fetch (no AI analysis). IMPORTANT: call it first WITHOUT `sections` — the summary alone answers most questions, and the reply lists which sections hold data for this ASIN. Only request sections when the summary is not enough; asking for all six returns several KB of detail you will rarely need. How to use: judge whether the listing is worth reselling — Amazon in the buy box or a single seller holding most of it means little room, many FBA offers means price competition, high out-of-stock share means supply gaps you could fill, and rank drops indicate how fast it sells. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.

  • amzscout_locate_asinadded

    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, estimated monthly sales. Paid: 1 000 tokens per marketplace checked, per ASIN (14 000 per ASIN). How to use: call it ONLY when the user asks where / on which Amazon marketplaces a product is sold, or wants its links on other marketplaces. Do NOT call it just to choose a marketplace for analysis — for that, ask the user once which marketplace they work on and reuse it for the whole conversation. Present the result as a list (country, link, local price, sales); if the user then wants analysis, pass the marketplace they pick to amzscout_analyze_product / amzscout_get_keywords.

  • amzscout_get_keywordschangeddescription, input schema
    before

    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.

    after · 69% of words in common

    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. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.

  • amzscout_find_by_brandchangedinput schema
  • amzscout_search_productschangedinput schema
  • amzscout_reseller_amazonadded

    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-time extremes, sales-rank drops, out-of-stock share, and buy box ownership history. Built for reseller / online-arbitrage questions, not private-label research — for demand and revenue estimates use analyzeProduct instead. Pure data fetch (no AI analysis). IMPORTANT: call it first WITHOUT `sections` — the summary alone answers most questions, and the reply lists which sections hold data for this ASIN. Only request sections when the summary is not enough; asking for all six returns several KB of detail you will rarely need. How to use: judge whether the listing is worth reselling — Amazon in the buy box or a single seller holding most of it means little room, many FBA offers means price competition, high out-of-stock share means supply gaps you could fill, and rank drops indicate how fast it sells.

  • amzscout_analyze_product_setchangeddescription, input schema
    before

    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.

    after · 61% of words in common

    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. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 94 / 100

provenance90
liveness100
freshness85
hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-100% ~updated-78d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://chatbot.amzscout.net/mcp streamable-httpnoneyes100%284 ms2025-11-252026-10-20

Tools (14)

amzscout_advanced_product_dataread-onlyExtra catalog facts about one Amazon ASIN that amzscout_analyze_product does not include: bullet features, materials, included components, ingredients, hazmat info, UPCs and manufacturer; on request also frequently-bought-together / bundle ASINs, listing videos, return rate, brand store link and buy box seller history. No sales, price or review numbers — those come from amzscout_analyze_product. Pure data fetch (no AI analysis). When to call: together with amzscout_analyze_product whenever the user asks about one specific product (same ASIN and marketplace), so the answer carries the listing facts as well as the numbers. Call WITHOUT `sections` by default (returns catalog + identifiers); add relations / media / buybox only when the question is about them. How to use: describe what the product actually is and how it is positioned — key features, materials, what is in the box, compliance flags (hazmat, ingredients) — and point out what a competing listing would need to match or beat. Present facts as written on the listing; do not invent missing ones. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.
amzscout_analyze_nicheread-onlyMarket 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_productread-onlyFull 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). Listing facts (features, materials, ingredients, UPC, videos) are NOT here — they come from amzscout_advanced_product_data (call both for the same ASIN). Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.
amzscout_analyze_product_setread-onlyRaw 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. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.
amzscout_compare_nichesread-onlyRaw 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_productsread-onlySide-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. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.
amzscout_find_by_brandread-onlyList 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_keywordsread-onlyAmazon 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). Pass BOTH `asin` and `keyword` to get the product's position for exactly that keyword (e.g. "organic rank of B0... for standing lamp") — the reply gives the exact-match row as the answer and lists look-alike keywords with extra symbols separately; never report a look-alike's rank for the requested keyword. 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. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.
amzscout_locate_asinread-onlyFind 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, estimated monthly sales. Paid: 1 000 tokens per marketplace checked, per ASIN (14 000 per ASIN). How to use: call it ONLY when the user asks where / on which Amazon marketplaces a product is sold, or wants its links on other marketplaces. Do NOT call it just to choose a marketplace for analysis — for that, ask the user once which marketplace they work on and reuse it for the whole conversation. Present the result as a list (country, link, local price, sales); if the user then wants analysis, pass the marketplace they pick to amzscout_analyze_product / amzscout_get_keywords.
amzscout_recommend_toolread-onlyGiven 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_reseller_amazonread-onlyBuy 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-time extremes, sales-rank drops, out-of-stock share, and buy box ownership history. Built for reseller / online-arbitrage questions, not private-label research — for demand and revenue estimates use analyzeProduct instead. Pure data fetch (no AI analysis). IMPORTANT: call it first WITHOUT `sections` — the summary alone answers most questions, and the reply lists which sections hold data for this ASIN. Only request sections when the summary is not enough; asking for all six returns several KB of detail you will rarely need. How to use: judge whether the listing is worth reselling — Amazon in the buy box or a single seller holding most of it means little room, many FBA offers means price competition, high out-of-stock share means supply gaps you could fill, and rank drops indicate how fast it sells. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency.
amzscout_search_knowledgeread-onlyTF-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_productsread-onlyKeyword 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_usageread-onlyThe 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.

Schemas: list_tools.

Similar MCP servers

Official server.json
{
  "name": "io.github.amzscout-corp/amzscout-skill-mcp",
  "title": "AMZScout Skill + MCP",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://chatbot.amzscout.net/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.0",
  "repository": {
    "url": "https://github.com/amzscout-corp/amzscout-skill-mcp",
    "source": "github"
  },
  "websiteUrl": "https://learn.amzscout.net/amazon-product-api-for-ai-agents",
  "description": "Amazon research from AMZScout data: analyze products & niches, keywords/PPC, and brand catalogs."
}