Index / MCP servers / Amazon Product Research

Amazon Product Research MCP server

Amazon Product Research is an MCP server with 82 tools an agent can call, among them alibaba_supplier_search, amazon_search_results, asin_bsr_history. It answers at https://app.webotee.com/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 10 September 2026; the last check, on 19 October 2026, succeeded.

Status
Answering
Tools
82
Official
yes, served from webotee.com
Reliability
6 of 6 checks
Response time
327 ms
Transport
streamable HTTP
Last checked
19 October 2026

Amazon brand, seller, niche & buy-box intelligence inside your own Claude or ChatGPT.

Description as the publisher wrote it.

The 82 tools Amazon Product Research offers

ToolWhat it does
alibaba_supplier_searchFind Alibaba supplier / manufacturer listings for a query (via Serper site:alibaba.com) — returns title + rating + a supplier snippet + the Alibaba link. TEXT ONLY: no price or photo are available via this source (the user sees price / MOQ
Inputs: query
amazon_search_resultsFetch a LIVE Amazon search-results page (SERP) right now — the ranked organic + sponsored listings a shopper would see this minute for a query, with position, ASIN, title, price, rating and badges. Use when the user wants CURRENT ranking/vi
Inputs: search_term, marketplace_id, page, max_page, sort_by, exclude_sponsored
asin_bsr_historyBest Sellers Rank (BSR) HISTORY for one Amazon ASIN — the observed rank series over time, with first/last observation dates, plus the product's identity (brand, title, price, rating, current BSR). Use when the user asks how an ASIN's rank/d
Inputs: asin, marketplace_id
asin_buybox_historyShow which sellers have been winning the buybox for an ASIN over time, AND how the competing-seller pool has changed month over month. Returns a per-week breakdown of buybox winners; a monthly distinct-seller-count series (seller_count_mont
Inputs: asin, since_weeks, marketplace_id, seller_name, seller_name_contains, min_observed_buybox_days
asin_comparablesFind ASINs similar to a given ASIN by brand, price band, and seller count. Use when the user asks 'ASINs like this one', 'similar products', 'comparable ASINs', 'what else is like B08N5WRWNW', or any ASIN-level lookalike question. Each comp
Inputs: asin, marketplace_id, limit, min_seller_count, max_seller_count, min_days_observed
asin_profit_calcEstimate whether an ASIN can hit a target profit margin given current buybox price, estimated FBA fees, and Amazon referral fee. Use when the user asks 'can I make money on this ASIN', 'profit calculator', 'margin estimate for B08N5WRWNW',
Inputs: asin, target_margin_pct, cogs, marketplace_id
authorized_seller_listList the saved authorized sellers for a brand. Use when the user asks 'who are my authorized sellers for X', 'show my approved resellers', 'what's my whitelist for this brand'.
Inputs: brand, marketplace_id, seller_contains
authorized_seller_setSave the authorized sellers for a brand you own/manage — the whitelist that makes 'unauthorized seller' detection possible. The brand must already be tracked in this workspace. Use when the user says 'these are my authorized sellers for X',
Inputs: brand, sellers, marketplace_id
brand_buybox_trajectoryShow how a brand's buybox concentration has changed over time. Returns weekly seller counts and observed buybox days for the trailing window. Use when the user asks 'is this brand getting more competitive', 'concentration trend for Nike', '
Inputs: brand, since_weeks, marketplace_id, trend_in, min_seller_count_change_pct, max_seller_count_change_pct
brand_new_asinsShow ASINs that recently appeared for a brand. Use when the user asks 'new products for Nike', 'recently added ASINs', 'what new listings does this brand have', or any question about a brand's recent catalog additions. Each ASIN carries pro
Inputs: brand, since_days, marketplace_id, limit, asin, asin_contains
brand_similarFind brands similar to a given brand by category, price tier, and competition level. Use when the user asks 'brands like Nike', 'similar brands to source', 'show me comparable brands', 'what else is in this niche', or any cohort/lookalike q
Inputs: brand, marketplace_id, limit, min_seller_count, max_seller_count, min_asin_count
brand_under_attackDetect whether a brand is under competitive attack: an elevated NEW-ENTRANT RATE (brand-level newly-observed sellers vs the trailing-month baseline) combined with buy-box churn. Uses brand-level first-seen (a seller's first observation anyw
Inputs: brand, since_weeks, marketplace_id, threat_level_in, signals_in
brand_xmarketCheck whether a brand sells on Amazon US, Amazon UK, and/or Walmart. Returns per-marketplace seller count, ASIN count, observed buybox days, and control score. Use when the user asks 'does this brand sell on Walmart', 'cross-marketplace pre
Inputs: brand, marketplace_id_in, min_seller_count, max_seller_count, min_asin_count, max_asin_count
brands_gaining_sellersFind brands that recently gained the most newly-OBSERVED sellers (sellers whose first-seen date on the brand falls in the window) — an observation signal, NOT confirmed market entry (sparse re-sampling can resurface long-present sellers as
Inputs: window_days, category, min_new_sellers, limit, marketplace_id, scope
brands_in_operator_networkFind brands that share operators/sellers with a target brand. Returns brands ranked by how many operators they share. Use when the user asks 'what brands are in X's network?', 'brands related to Ninja', 'who else do Ninja's sellers carry?',
Inputs: brand, marketplace_id, limit, brand_contains, min_shared_operators, max_shared_operators
buybox_loss_alertFind the ASINs where a brand you own has LOST the buy box to a seller outside your authorized list — ranked by estimated revenue at stake — so you can act on the costliest first. Each flagged ASIN carries its product brand, title and price
Inputs: brand, authorized_sellers, marketplace_id, limit, asin, asin_contains
categories_amazon_retreatingFind categories where Amazon is retreating — net brand exits exceed entries over 90 days (amazon_expansion_net_90d < 0). Returns categories ordered by retreat magnitude. Use when the user asks 'where is Amazon pulling back?', 'which categor
Inputs: limit, marketplace_id, category_name, category_name_contains, velocity_tier_in, min_amazon_expansion_net_90d
category_metricsReturn the full metric set for ONE category at any depth — a root OR a sub-category niche like 'Terrariums'. Covers demand (30-day revenue, units, velocity tier), competition (heat, diversity, brand/ASIN/seller counts), Amazon presence (ret
Inputs: category_id, category_name, marketplace_id
category_new_entrantsFind brands newly OBSERVED in a category — the first date our daily sampling saw the brand there falls in the window. An observation signal, NOT confirmed first-ever entry (sparse re-sampling can resurface a long-present brand as 'new'). Us
Inputs: category_id, category_name, since_days, marketplace_id, limit, brand
category_top_growersFind brands in a category with the biggest recent growth in seller count and observations. Use when the user asks 'fastest growing brands in Toys', 'top growers in this category', 'which brands are trending up', or any category-scoped growt
Inputs: category_id, category_name, since_months, marketplace_id, limit, brand
category_undercompeted_brandsFind specific BRANDS within a category that have proven multi-seller demand but are still under-competed (a min-seller floor drops single-seller / brand-owner-only listings). Returns BRANDS — not niches or sub-categories. Use for 'undercomp
Inputs: category_id, category_name, max_sellers, min_sellers, min_buybox_days, max_avg_price
collect_asin_nowPull a LIVE, on-demand snapshot of a single Amazon ASIN right now — current title, price, live offers and the sellers on the listing today — and return it alongside Webotee's historical brand and seller intelligence, including the ASIN's pr
Inputs: asin, marketplace_id
competitive_landscapeMap the competitive landscape for a brand or category root. Returns top 10 sellers by observed buybox days held, top 10 brands by winner-diversity HHI, plus week-over-week deltas. Use when the user asks 'who's winning this category?' or 'wh
Inputs: category_root_id, brand, marketplace_id, seller_name, seller_name_contains, min_total_observed_buybox_days
evaluate_asin_sourcingEvaluate a single ASIN for FBA sourcing. Returns composite sourcing score (0-100), 5-dimension breakdown (velocity, gating, friction, margin, brand_posture), estimated 30-day demand (units_30d_final + est_revenue_30d) with its source/badge_
Inputs: asin, marketplace_id, qty
evaluate_brandEvaluate a brand for portfolio inclusion. Returns brand-level control posture, winner diversity (HHI), Amazon retail dominance %, FBA penetration %, catalog churn rate, total bought-past-month volume, estimated 30-day revenue, avg ship-by d
Inputs: brand, marketplace_id, distribution_verdict_in, asin, asin_contains, min_composite_score
evaluate_category_for_private_labelAssess whether a category or niche (ANY depth — e.g. 'Terrariums') is winnable for a NEW private-label brand. Use for 'is X winnable for private label', 'should I private-label X', 'is the X niche good for a new brand', 'can I launch my own
Inputs: category_id, category_name, marketplace_id, verdict_in
filter_brands_by_fba_shareReturn brands whose FBA buybox share is below or above a threshold. FBA share is computed as fba_buybox_days / total_buybox_days * 100 (percentage, 0-100). Use fba_share < 40 to find FBM-heavy brands (carriers hold real inventory) or fba_sh
Inputs: marketplace_id, fba_share_op, fba_share_value, min_sourcing_score, sort_by, limit
filter_operators_by_fba_shareReturn operators whose FBA buybox share is below or above a threshold. FBA share is 0-100 (percentage). For a single NAMED seller's profile, the operator-profile tools (operator_classifier / operator_top_brands) are the better first call —
Inputs: marketplace_id, fba_share_op, fba_share_value, brand, sort_by, limit
find_brands_with_high_seller_churnFind brands experiencing high seller churn relative to their category. Returns brands where seller_churn_30d_delta_vs_cat_pp >= the specified threshold (default 5pp). Optionally filtered by category. Use when the user asks about 'brands los
Inputs: category, min_delta_pp, max_delta_pp, limit, marketplace_id, scope
find_deconcentrating_brandsFind brands where buybox concentration dropped over the last quarter — more sellers are entering, creating opportunity for new entrants. Use when the user asks 'brands losing control', 'deconcentrating brands', 'brands opening up to competi
Inputs: since_weeks, min_buybox_days, marketplace_id, limit, brand, brand_contains
find_new_operatorsFind operators (sellers) we FIRST OBSERVED selling recently — their earliest observation in our data falls in the window. An observation signal, NOT confirmed market entry: sparse sampling can surface a long-present seller the first time we
Inputs: since_days, min_brands, marketplace_id, limit, seller_name, seller_name_contains
find_product_across_webFind where one product sits across the open web — a live cross-retailer price check — with every price anchored to Webotee's independently-observed Amazon buy-box. Give ONE identifier (asin, upc, gtin, or title + brand) and a mode: price_co
Inputs: asin, upc, gtin, title, brand, mode
find_single_seller_brandsFind brands where a single operator controls 100 percent of observed buybox days. These are either gated/exclusive or operator-acquired brands. Use when the user asks 'brands with one seller', 'exclusive brands', 'single-seller brands', 'mo
Inputs: min_asins, min_buybox_days, max_avg_price, min_avg_price, category_id, limit
find_sourcing_opportunitiesGiven an Amazon ASIN, diagnose its business model (private-label / wholesale / arbitrage) and find real-world supplier, wholesale and arbitrage matches across the web, then return an HONEST sourcing read: a viability qualifier (green/yellow
Inputs: asin, marketplace_id
find_undercompeted_brandsFind brands with low seller competition but real sales presence. The flagship sourcing discovery tool. Use when the user asks 'find brands with few sellers', 'low competition brands', 'undercompeted brands under $50', 'brands I could source
Inputs: max_sellers, min_sellers, min_buybox_days, max_avg_price, min_avg_price, seed_brand
find_underserved_nichesFind UNDER-SERVED NICHES — real SUBCATEGORIES with genuine demand but room to compete, ranked by private-label winnability from 2-year marketplace data. Returns CATEGORIES / sub-categories (e.g. 'Wireless Earbuds', 'Cable Organizers'), NEVE
Inputs: category_name, category_id, price_min, price_max, competition, unhappy_shoppers
gating_repricing_adviceRecommend ungate / arbitrage / avoid for an ASIN, with a 3-bullet rationale citing named metrics (gating_score, amz_retail_dominance_pct, fba_pct, brand_posture). Also returns the ASIN's product brand, title and price (or price range) plus
Inputs: asin, marketplace_id
keyword_cross_marketplaceCheck which of the 11 Amazon marketplaces a keyword was observed in Amazon's own autocomplete suggestions, with first/last observed dates and an example current suggestion-list position per marketplace. Use when a seller asks 'does anyone t
Inputs: keyword
keyword_demandKeywords observed in Amazon's own autocomplete suggestions for a seed term, per marketplace: the current suggestion list(s) for the seed's prefix (each term with its position 1-10 within that list) plus related observed vocabulary starting
Inputs: seed, marketplace_id
lookup_product_by_barcodeLook up products by retail barcode: UPC-12, EAN-13 or GTIN-14. Use when the user gives a numeric product barcode (from a shelf tag, an invoice, a supplier price list, a wholesale catalog) and wants to know which Amazon or Walmart listing it
Inputs: barcode, marketplace_id
42 more tools

map_violations_today, my_competitors, my_opportunities, my_products, my_store, operator_brands_by_competition, operator_buybox_losses, operator_category_dominance, operator_classifier, operator_compare, operator_concentration, operator_lost_brands, operator_new_brands, operator_new_on_brand, operator_resells_what, operator_top_asins, operator_top_brands, operator_xmarket_presence, playbook_create, playbook_list, playbook_run_now, playbook_schedule, product_page_content, risk_assessment, search_products, set_cost_floor, shopping_search, top_expanding_operators, top_sourcing_picks, top_velocity_brands, unauthorized_sellers, watchlist_add, watchlist_add_rule, watchlist_delta, watchlist_diff, watchlist_list, watchlist_remove, watchlist_stats, watchlist_webwide, web_search, webotee_job_status, xmkt_pricing_compare

Add Amazon Product Research to your AI client

Every block below points at https://app.webotee.com/mcp. Pick your client and copy.

Claude Code: one command in your terminal
claude mcp add --transport http amazon-product-research https://app.webotee.com/mcp
Claude Desktop: claude_desktop_config.json
{
  "mcpServers": {
    "amazon-product-research": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://app.webotee.com/mcp"]
    }
  }
}
Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project
{
  "mcpServers": {
    "amazon-product-research": {
      "url": "https://app.webotee.com/mcp"
    }
  }
}
VS Code and GitHub Copilot: .vscode/mcp.json
{
  "servers": {
    "amazon-product-research": {
      "type": "http",
      "url": "https://app.webotee.com/mcp"
    }
  }
}
Zed: Zed settings.json
{
  "context_servers": {
    "amazon-product-research": {
      "url": "https://app.webotee.com/mcp"
    }
  }
}
Windsurf: ~/.codeium/mcp_config.json
{
  "mcpServers": {
    "amazon-product-research": {
      "serverUrl": "https://app.webotee.com/mcp"
    }
  }
}
JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON
{
  "mcpServers": {
    "amazon-product-research": {
      "url": "https://app.webotee.com/mcp"
    }
  }
}
Continue: .continue/mcpServers/neuronto.yaml
name: Amazon Product Research
version: 0.0.1
schema: v1
mcpServers:
  - name: Amazon Product Research
    type: streamable-http
    url: https://app.webotee.com/mcp
Gemini CLI: ~/.gemini/settings.json
{
  "mcpServers": {
    "amazon-product-research": {
      "httpUrl": "https://app.webotee.com/mcp"
    }
  }
}
Codex CLI: MCP server config
{
  "mcpServers": {
    "amazon-product-research": {
      "type": "http",
      "url": "https://app.webotee.com/mcp"
    }
  }
}
Warp: MCP servers, + Add, paste JSON
{
  "mcpServers": {
    "amazon-product-research": {
      "url": "https://app.webotee.com/mcp"
    }
  }
}
Goose: a one-click extension link
goose://extension?url=https%3A%2F%2Fapp.webotee.com%2Fmcp&type=streamable_http&id=amazon-product-research&name=Amazon%20Product%20Research

Is Amazon Product Research up right now?

It answered our last check on 19 October 2026 in 327 ms. Over 6 checks since 10 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.

MCP servers similar to Amazon Product Research

Questions about Amazon Product Research

Is there an official Amazon Product Research MCP server?

Yes. It is published by webotee.com and served from app.webotee.com, the vendor's own domain: https://app.webotee.com/mcp.

How many tools does Amazon Product Research have?

82, as returned by the server's own tools/list on 11 September 2026: alibaba_supplier_search, amazon_search_results, asin_bsr_history, asin_buybox_history, asin_comparables, asin_profit_calc, authorized_seller_list, authorized_seller_set, and 74 more.

Is Amazon Product Research down?

It answered our last check on 19 October 2026 in 327 ms. Over 6 checks since 10 September 2026 it answered 6.

How do I add Amazon Product Research to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://app.webotee.com/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does Amazon Product Research need an API key?

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.

Where this comes from

Publisher: com.webotee. Endpoint host: app.webotee.com. ARD identifier: urn:air:com.webotee:mcp:amazon-product-research-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.

Is this your server? Get a message the day it stops answering or its tools change: monitoring, 14 days free. Or claim the domain to manage how it is listed.