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Glama
BACH-AI-Tools

Real Time Amazon Data MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
product_review_detailsC

Get the details of a specific product review by id

product_detailsA

Get extensive Amazon product details and information available on the Amazon product page by asin, including title, price data, ratings data, local and global top reviews, photos, product details (brand, weight, package size, model, etc) product variations (colors, sizes, flavors, etc), and many other data points. Here's an example product page: https://www.amazon.com/dp/B0CMZFCQ6D.

product_offersA

Get all Amazon product details as available via the Product Details endpoint with an additional offers array containing product offers (The first offer in the array is the pinned offer returned by the Search endpoint). Supports pagination using the page and limit parameters.

influencer_profileB

Get Amazon Influencer profile details from the Amazon Influencer store page (e.g. https://www.amazon.com/shop/tastemade).

deal_productsA

Get the products of a specific deal by Deal ID. Supports pagination using the page parameter. For now, only works for MULTI_ITEM deals with no canonical_deal_url (i.e. when deal_url is in the form of https://amazon_domain/deal/deal_id).

best_sellersA

Get Amazon Best Sellers, including prices, ratings, rank and more data points available on Amazon Best Sellers listings. Supports all Amazon Best Seller list types using the type parameter: Best Sellers, New Releases, Movers \u0026 Shakers, Most Wished For, Gift Ideas.

products_by_categoryA

Get products \u0026 offers in a specific Amazon category with pagination support and multiple filters and options such as sort option, price range, product condition filter, and more.

seller_profileB

Get Amazon Seller profile details from the Amazon Seller profile page (e.g. https://www.amazon.com/sp?seller=A1D09S7Q0OD6TH).

product_reviewsA

Get and paginate through product reviews on Amazon using a logged in user cookie string. Each page contains up to 10 reviews.

product_searchB

Search for products \u0026 offers on Amazon with pagination support and multiple filters and options such as sort option, price range, product condition filter, and more.

influencer_post_productsC

Get the list of products related to a \

seller_productsB

Get and paginate through the products sold by an Amazon Seller

influencer_postsC

Get all Amazon Influencer posts with pagination support.

asin_to_gtinB

Convert an Amazon ASIN to GTIN / EAN / UPS identifiers. Valid values for type are EAN-13, UPC, or ISBN.

product_category_listC

Get Amazon product categories per country / Amazon domain (for use with the \

promo_code_detailsA

Get the products offered by an Amazon promo code.

seller_reviewsA

Get and paginate through Amazon Seller reviews / feedback as shown on the Seller profile page (e.g. https://www.amazon.com/sp?seller=A1D09S7Q0OD6TH). Each page contains up to 5 reviews.

dealsC

Get Amazon Deals (Today's Deals / Top Deals, Best Deals, and Lightning Deals) with support for all deal types, filters, and options available on Amazon.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.1/5.0

Scored across 18 tools

Disambiguation3/5

Most tools target distinct entities (products, sellers, influencers, deals, promo codes), but there is notable overlap risk: products_by_category and product_search both return products with offers and support the same filters; product_details and product_offers return largely the same product data (with product_offers just adding an offers array); and product_review_details vs product_reviews could be confused (one is a single review by id, the other paginates reviews, though they distinctively differ). These overlaps create selection ambiguity for agents.

Naming Consistency4/5

The naming pattern is predominantly consistent noun_by_noun / noun_noun (e.g., product_details, product_search, product_reviews, seller_profile, seller_products, influencer_posts, deals). Most tools follow a predictable noun_[verb/noun] style. Minor deviations like asin_to_gtin (verb-based) and product_category_list break the pattern slightly, but overall the convention is coherent.

Tool Count4/5

18 tools is reasonable for a broad Amazon data provider covering products, reviews, sellers, influencers, deals, and promotions. While on the higher end, each tool maps to a distinct Amazon scraping surface area, and the count is justified by the breadth of the domain.

Completeness3/5

The surface covers a wide variety of Amazon data: product search/details/offers, reviews, sellers, influencers, deals, promo codes, categories, and ASIN conversion. However, there are notable gaps: no update/create/delete operations are expected for a read-only API, but missing tools like cart/order operations and wishlist are acceptable. Gaps like product attributes/browse nodes or warehouse/deep-link retrieval are absent, and it lacks a tool to fetch a single product's reviews for a specific product without cookies (product_reviews requires a logged-in cookie). The truncated descriptions (two tools cut off) make full completeness assessment difficult.

Maintenance

ActivityInactive
ResponsivenessNo issues