MCP server

Apiguru Amazon Data Official

app.apiguru/amazon-data

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Live Amazon product, review, search, deal, offer/stock and seller data across 23 marketplaces.

Website Source

At a glance

Type

MCP server

Publisher

apiguru.app (verified by the MCP Registry)

Status

Working at last check

Tools

12

Token cost

About 11,129 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http amazon-data https://mcp.apiguru.app/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.amazon-data]
url = "https://mcp.apiguru.app/mcp"

Gemini CLI

{"mcpServers":{"amazon-data":{"httpUrl":"https://mcp.apiguru.app/mcp"}}}

Cursor

{"mcpServers":{"amazon-data":{"url":"https://mcp.apiguru.app/mcp"}}}

VS Code

{"servers":{"amazon-data":{"type":"http","url":"https://mcp.apiguru.app/mcp"}}}

Antigravity

agy mcp add amazon-data https://mcp.apiguru.app/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"amazon-data","server_url":"https://mcp.apiguru.app/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"amazon-data","server_url":"https://mcp.apiguru.app/mcp"}

Tools

• best_sellers ~1309 tokens
  Use for what sells best in a department right now. The rank is Amazon's, not a sales figure. 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
• deals ~1671 tokens
  Use for items currently promoted in Amazon's deals feed. Not for one product's price (product_details); for a brand by name use search with brand= and today_deals=true. Returns the current Amazon deals feed: ASIN, title, deal price, list price, discount, deal badge, start/end time and product links.
• list_capabilities ~119 tokens
  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_stock ~1083 tokens
  Use to compare sellers' current offers and see who holds the buy box, and, with check_inventory, how many units a buyer can add to the cart now. The stock number is not a sales estimate. Not for the listing's own details (product_details). Returns the current offer list per ASIN (seller, price, cond
• product_details ~682 tokens
  Use for one product's current listing. Not for several ASINs (product_details_batch), seller offers or stock (offers_stock), or review text (product_reviews). Fetches the complete product record for one ASIN on one marketplace: title, price, star rating, rating count, images, description, feature bu
• product_details_batch ~689 tokens
  Use to enrich a list of ASINs in one call; compare the ASINs in `results` with the ones you sent. 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: $0.0024 per item (max 20)
• product_reviews ~719 tokens
  Use for what customers say about one product. Not for its full review history (Amazon serves full and star-filtered review lists only to signed-in accounts) or for seller feedback (seller_reviews). Returns the overall rating, rating count, review_histogram (percent of all ratings per star), Amazon's
• search ~1650 tokens
  Use to find products by keyword and filters. Rows are result snippets; for the authoritative record of one ASIN call product_details. Search Amazon products by keyword. Filters: page, sort_by, category_id (browse node), min_price / max_price (decimals), product_condition (NEW / USED / RENEWED), bran
• seller_products ~1630 tokens
  Use to list one seller's storefront. 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_fil
• seller_profile_batch ~462 tokens
  Use to vet sellers: name, rating and feedback counts as Amazon displays them. Returns the storefront profile for each seller id: business name, rating, feedback counts, address and marketplace presence. Price: $0.0036 per item (max 10). Seller ID validation is all-or-nothing: one malformed id reject
• seller_reviews ~700 tokens
  Use for a seller's customer feedback (service, shipping). Not for product reviews (product_reviews). Returns paginated seller feedback, optionally filtered to a star-rating window. Price: $0.003 per call. from_rating and to_rating are optional; omit both for unfiltered feedback. A page holds 5 revie
• send_feedback Sends messages · ~415 tokens
  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

Browse

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