Amazon MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| HASDATA_API_KEY | Yes | Your HasData API key from the dashboard. |
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
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| completions | {} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| hasdata_amazon_product_getProductDetailsA | Get Amazon Product Details Fetches a single Amazon product page by ASIN on a chosen Amazon domain (amazon.com, .co.uk, .de, .jp, etc.). Returns title, brand, current/list/deal price, currency, availability, Buy Box seller, Prime eligibility, bullet points, A+ description, rating and review count, images, category breadcrumbs, variants/sibling ASINs, and the other-sellers offers block (when otherSellers=true), plus delivery-zone-aware pricing when a shipping zip/location is set. Use for product research agents, price/stock monitoring, catalog enrichment, listing QA, Buy Box tracking, and cross-locale competitive analysis. |
| hasdata_amazon_reviews_getProductReviewsA | Get Amazon Product Reviews Paginated fetch of customer reviews for an Amazon ASIN with filters for star rating (1-5, positive, critical), reviewer type (all vs verified purchase), media-only reviews, current-variant vs all-formats, keyword search, and sort (helpful/recent). Returns per-review title, body, star rating, author name and profile, review date, country, verified-purchase flag, helpful-vote count, variant/format attributes, and attached media URLs, plus aggregate rating histogram. Use for voice-of-customer analysis, sentiment and theme extraction, feature-request mining, competitor review benchmarking, and feeding review-summarization or Q&A agents. |
| hasdata_amazon_search_getSearchResultsA | Get Amazon Search Results Runs a keyword search on a chosen Amazon domain with pagination, delivery zip/location scoping, and sort order (featured, price low-to-high, price high-to-low, avg-customer-review, newest). Returns the organic results list with ASIN, title, thumbnail, product URL, price and list price, currency, star rating, review count, Prime/sponsored flags, and position, plus related search suggestions and filter facets. Use for SERP monitoring, keyword/share-of-shelf tracking, competitor discovery, ASIN harvesting to feed downstream product/reviews endpoints, and building product-research or price-comparison agents. |
| hasdata_amazon_seller_getSellerDetailsA | Get Amazon Seller Details Fetches the public storefront profile for an Amazon seller by sellerId on the chosen domain/language. Returns business name, seller logo, About-this-seller text, overall feedback rating and lifetime/12-month/90-day/30-day rating breakdown, feedback count, business address and contact details, customer service info, and any listed policies. Use for seller due-diligence and vetting, counterfeit/brand-protection workflows, MAP-violation investigations, building seller leaderboards, and enriching marketplace seller directories. |
| hasdata_amazon_seller_products_getSellerProductsA | Get Amazon Seller Products Paginated listing of the storefront catalog offered by a given Amazon sellerId on the chosen domain. Returns each product row with ASIN, title, image, product URL, price and list price, currency, star rating, review count, and Prime flag. Use to map a competitor's or 3P seller's full assortment, detect new SKU launches, build brand-protection watchlists, drive price-intelligence pipelines, and seed per-ASIN deep-dives against the product and reviews endpoints. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool targets a clearly different resource: product details by ASIN, reviews by ASIN, search results by keyword, seller profile by sellerId, and seller catalog by sellerId. There is no meaningful overlap or ambiguity between them.
All tool names follow the same structured pattern: hasdata_amazon_<section>_get<Resource>. The consistent snake_case prefix and get-verb naming make the API surface predictable and easy to navigate.
With only 5 tools, the server is tightly scoped to core Amazon data retrieval needs: search, product, reviews, seller, and seller products. Each tool earns its place and the small count avoids bloat.
The tool set covers the main Amazon research workflow: discover products via search, fetch product details, pull reviews, and investigate sellers. A browse-category or advanced-filtering tool could be a minor gap, but the core surface is coherent and usable.