Apiguru Amazon Data MCP server

• best_sellersFree

  Best-seller rankings for a department of one marketplace, 50 per page. Every answer carries the department it resolved to and how (category_resolution: by slug, name or a fragment of a name, with a hint when a fragment such as 'shoes' landed on the whole 'Clothing, Shoes & Jewelry' department), available_categories (that marketplace's departments with slugs) and available_subcategories (the children of the node shown, with the ids subcategory_code takes). On amazon.com subcategory_code also takes any browse node id at any depth, or a name resolved under the department ("women's shoes", "mules & clogs"); category.subcategory_path gives the node's full path and category.heading the page's own title line. Price: $0.01 per call. No required parameters - calling it bare returns US appliances page 1. `category` accepts a slug, a display name, one of the older US department names, or a unique fragment; category_resolution.via says which, and a fragment match adds a hint naming the subcategories that carry the word, with ids. On amazon.com the whole browse tree is known: subcategory_code takes any node id or a name at any depth, subcategory_name and subcategory_path are filled without a fetch, and available_subcategories lists the node's real children (empty on a leaf). Other marketplaces name only what their navigation showed. page is capped at 5 (a 400 beyond, not a 500). `rank` is the position within the requested list on this page. Rows are the same for every marketplace; only the department vocabulary differs, and the answer carries it.

• dealsFree

  Returns the current Amazon deals feed: ASIN, title, deal price, list price, discount, deal badge, start/end time and product links. Filter by department (categories), brand id (brands), rating cut-off, price bounds, minimum discount and Prime program. Every answer carries available_filters (the category and brand ids this marketplace accepts, with names), filters_applied / filters_ignored (what took effect) and next_offset (the next page, null when the feed ends). Price: $0.01 per call. Filters are by id: categories takes a department id or name, brands takes brand ids only; available_filters in every answer lists both with names, and filters_applied / filters_ignored report what Amazon honoured. A page is 30 rows; page with offset=next_offset (null when exhausted); total_count caps at 500. min_price, max_price, min_discount and max_discount are applied to the rows after the fetch, scanning up to 3 upstream pages per call, so a page can hold fewer than 30 rows and total_count does not reflect them. An empty answer carries a hint saying why. Deal prices expire: check deal_ends_at. The older price_range and discount_range parameters are still accepted, as buckets (1-5 = under 25 / 25-50 / 50-100 / 100-200 / 200 and up; 1-4 = 10 / 25 / 50 / 70 percent off or more) or as bands such as 25-50 and 70+.

• list_capabilitiesFree

  List every Apiguru endpoint with its price, required parameters and supported marketplaces, plus your current access mode, cache and session budget. Free: answers locally with no network request and no charge. Call this before paid tools if you need to plan.

• offers_stockFree

  Returns the current offer list per ASIN (seller, price, condition, buy-box winner) and, optionally, the actual purchasable stock quantity. Price: $0.015 per item (max 10). Billed per upstream Amazon request, which is more than one per ASIN when check_inventory is true. /scrape is a legacy alias for the same handler.

• product_detailsFree

  Fetches the complete product record for one ASIN on one marketplace: title, price, star rating, rating count, images, description, feature bullets, variations and category. Price: $0.01 per call. 404 means the ASIN is absent from that marketplace and IS billed. 503 means our fetch failed and is NOT billed - retry. Bullet points and specs are what Amazon shows for the listing; on multi-variant listings they can describe the product family rather than the exact variant. A null field means Amazon did not show it.

• product_details_batchFree

  Batch variant of product_details. Accepts a comma-separated ASIN list, deduplicates it, and fetches all of them concurrently. Far cheaper and faster than N single calls. Price: $0.008 per item (max 20). Billed per ASIN processed, including ones that come back not-found. More than 20 ASINs returns 413. Bullet points and specs are what Amazon shows for the listing; on multi-variant listings they can describe the product family rather than the exact variant. A null field means Amazon did not show it.

• product_reviewsFree

  Returns the review block for one ASIN: overall star rating, total rating count, Amazon's 'customers say' AI summary, and the individual review list. Price: $0.01 per call. Same 404-billed / 503-not-billed semantics as product_details. Takes no filters: it returns the rating, rating count, the 'customers say' summary and the reviews Amazon shows on the product page itself. There is no paging, star filter or sort -- Amazon's review pages require a signed-in customer, and the API does not sign in. For per-star counts read the rating histogram on product_details.

• searchFree

  Search Amazon products by keyword. Filters: page, sort_by, category_id (browse node), min_price / max_price (decimals), product_condition (NEW / USED / RENEWED), brand, seller_id, today_deals and deal_type (coupons, all_discounts, buy_more_save_more). Every answer carries filters_applied, filters_ignored (with the reason) and available_filters for that marketplace. Price: $0.01 per call. Blank values and the literal string 'null' are treated as unset. Invalid page, sort_by, price, product_condition or deal_type is a free 400 naming the parameter and the allowed values. Condition and deal refinements use per-marketplace node ids captured from Amazon's own search pages; a marketplace that lacks one gets the unfiltered feed plus an entry under filters_ignored, never a silent empty page. `product_num_ratings` and `offers_count` are integers; `product_star_rating`, `product_price` and `product_original_price` are decimal strings; a null field means Amazon did not show it. `is_prime` is true when the result carries a Prime badge or its delivery line offers Prime delivery. `metadata.total_pages` says how far `page` can go. A full page is up to 48 results and about 54 KB; the tool returns the first 10 as light rows by default and the answer carries `_truncated`, `_omitted_fields`, `_projection` and `_notes`. filters_applied echoes the effective sort_by (RELEVANCE when none was sent). A BEST_SELLERS ordering is Amazon's query-scoped popularity, not a category rank: a row's `badges` / `is_best_seller` are what the result card showed for this query, and an ASIN that is #1 in its subcategory can carry no badge here while product_details reports best_seller=true with the rank. For a rank claim, use product_details or best_sellers.

• seller_productsFree

  Products listed by a seller: a storefront search. Takes the same filters as search -- query, page, sort_by, category_id, min_price / max_price, product_condition, brand, today_deals, deal_type -- and answers with filters_applied, filters_ignored and available_filters like search does. Price: $0.01 per call. Unlike seller_profile_batch, seller_id format is not pattern-validated here. metadata.total_pages says how far page goes (48 rows a page). Invalid sort_by, price, product_condition or deal_type is a free 400 that lists the allowed values.

• seller_profile_batchFree

  Returns the storefront profile for each seller id: business name, rating, feedback counts, address and marketplace presence. Price: $0.012 per item (max 10). Seller ID validation is all-or-nothing: one malformed id rejects the entire request with 400.

• seller_reviewsFree

  Returns paginated seller feedback, optionally filtered to a star-rating window. Price: $0.01 per call. from_rating and to_rating are optional; omit both for unfiltered feedback. A page holds 5 reviews and the answer carries current_page and has_next_page; Amazon exposes no total, so page until has_next_page is false (up to page 100).

• send_feedbackwrite actionFree

  Report a bug, ask for a field, or say what would make this API more useful. Free: never billed, no API key needed. Prefer GitHub if you have an account -- an issue at https://github.com/apiguru-app/agent-kit/issues gets a reply on the thread, this wall does not. Use this tool when you have no GitHub account or nothing to attach one to. message: what happened or what you want. Be specific: the tool, the parameters, the field, what you expected, what you got, and the request_id from the answer. One issue per entry -- a five-point list cannot be closed point by point. category: bug | wish | praise | question | other endpoint: which tool or path it is about, e.g. "search". agent: what you are, e.g. "acme-pricing-bot/2.1". Optional. contact: a GitHub handle or email if you want a reply. Shown publicly on the wall. Optional.

• Code scan16 source files scanned; 2 source files scanned25/25
• Live reliabilityremote reachable in 2130ms17/20
• Tool poisoning12 tool descriptions checked15/15
• Auth qualityAPI key sent as a header8/15
• Maintenancelast push 7 days ago15/15
• Maintainer identitynamespace and repository owner differ; website matches verified namespace5/10

Apiguru Amazon Data: common questions

Is Apiguru Amazon Data MCP server safe?

Yes, by our scan: it is graded A (85/100). Read the Apiguru Amazon Data safety report

How do I install Apiguru Amazon Data?

It runs remotely at mcp.apiguru.app. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.

Does Apiguru Amazon Data need an API key?

Yes. The registry entry asks for APIGURU_API_KEY, X-API-KEY.

Is Apiguru Amazon Data maintained?

The last commit was 7 days ago (2026-09-12). The latest release is v1.1.25.

Is Apiguru Amazon Data up?

100% of our last 2 checks got an answer. We check remote servers about four times a day.

What can I use instead of Apiguru Amazon Data?

Servers from other publishers that do the same job: HasData Amazon MCP server, CartScout MCP server and AutoID Product Catalog & Support MCP server. Compare all Apiguru Amazon Data alternatives.