Apiguru Amazon Data vs PoloPan Fashion MCP Server
A side-by-side look at the Apiguru Amazon Data and PoloPan Fashion MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Apiguru Amazon DataE-Commerce · Local subprocess (stdio)Live Amazon product, review, search, deal, offer/stock and seller data across 20 marketplaces.64GoodAuth: no auth requiredVerdict: choose Apiguru Amazon Data for e-commerce work as a local process; choose PoloPan Fashion MCP Server for e-commerce as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Apiguru Amazon Data when
- You need dedicated capabilities in the E-Commerce domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
product_details, product_reviews, search.
Choose PoloPan Fashion MCP Server when
- You need dedicated capabilities in the E-Commerce domain.
- You prefer a local stdio subprocess transport.
- You want tools like
region.get_current, region.set_current, region.list_supported.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | Apiguru Amazon Data | |
|---|---|---|
| Category | E-Commerce | E-Commerce |
| Quality signal | 64/100 · Good | 63/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | Not declared |
| Pricing | Freemium | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 1 |
| Directory activity | 2 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 12 | 19 |
| Full listing | View Apiguru Amazon Data | View PoloPan Fashion MCP Server |
Tools & capabilities
Apiguru Amazon Data tools 12
product_detailsUse 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 bullets, variations and category. Price: $0.003 per call. 404 means the ASIN is absent from that marketplace and IS billed. 503 is a temporary failure on our side 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. Keys of `product_information`, `tech_specs` and the other specification tables are trimmed: Amazon prints some rows twice, once with a trailing space ("Package Dimensions "), and the copies are merged under the clean name; when they differ the listing's own value wins (the second copy of "ASIN" on a variant often names the parent).product_reviewsUse 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 'customers say' AI summary where that marketplace shows one, and the reviews on the product page (typically up to 8 from this marketplace and 5 from other countries), each with rating, review_date, review_country, from_this_marketplace, verified flag and helpful_votes; from_rating/to_rating keep a star window. Price: $0.003 per call. Same 404-billed / 503-not-billed semantics as product_details. No paging or sort: the reviews are those on the product page; review_coverage says how many and from where. from_rating/to_rating filter them. review_histogram (here and on product_details) gives the share of every rating. customers_say is null where Amazon shows no summary (several marketplaces never do); customers_say_note then says so.searchUse 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), 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: $0.003 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 are per marketplace; a marketplace that lacks one gets the unfiltered feed plus an entry under filters_ignored, never a silent empty page. `product_num_ratings` is an integer; `offers_count` is the "N offers" count a result card shows, an integer, and null when the card shows none (most cards; it used to default to 1); `product_brand` is the brand line Amazon prints above some titles (fashion and many branded listings) and null on cards without one -- product_details has `brand_name` for every ASIN; `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.reachable_pages` says how far `page` can go: Amazon serves at most 7 pages of a query even when `metadata.total_pages` counts more (then `pagination_note` says how to split the query). `_links.next` is the next page while there is one; a page past the end is a free 400 `page_out_of_range`. 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. An empty `products` list is served as success only when Amazon itself reports 0 results (metadata.total is 0 and `hint` says so). Anything else that is not a usable result is an unbilled, retryable 503 with code upstream_unavailable.product_details_batchUse 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). 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. ASINs Amazon has no record for on that marketplace are listed in not_returned (billed, like a not-found product_details call; retrying will not help). The batch record comes from Amazon's app, not the product page: price, rating, availability, images, bullets and variants, but no best-seller ranks, no category path and no merchant (seller) id. For those call product_details per ASIN. On an API key both cost one request per ASIN, so the batch saves calls and time, not money; keyless (x402) it is also cheaper per item.offers_stockUse 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, condition, buy-box winner) and, optionally, the actual purchasable stock quantity. Price: $0.0045 per item (max 10). Billed per lookup, which is more than one per ASIN when check_inventory is true. offers_count=winner returns only the offer flagged is_buybox_winner (offers_total keeps the full count); it used to scope only the inventory check and return every offer. /scrape is a legacy alias for the same handler. When Amazon will not return the offer list for an ASIN, the result carries source=product_page: the featured (buy-box) offer read from the product page, offers_on_amazon (how many offers Amazon says exist) and a note; other sellers' offers and stock are then not included. With check_inventory, a cart check that cannot read a quantity is retried once on another session; one that still fails says so on the offer, inventory_response {"error": "cart check failed", "code": "cart_check_failed", "retryable": true}, is not billed, and never reads as a quantity of 0. Each offer carries `ships_from` (the "Ships from" name: Amazon for FBA, else the seller), `delivery_message` (the offer's own delivery promise, e.g. "FREE delivery Friday, October 16 on orders shipped by Amazon over $35") and `delivery_message_secondary` (the "Or fastest delivery ..." line), null when the offer shows none. `delivery` is the same value as `ships_from`, kept for existing integrations; it never held delivery information. A row for an ASIN that could not be answered carries `error`, `code`, `http_status`, `billed`, `retryable` and `next_step`, like a top-level error: `upstream_unavailable` (not billed, retry that ASIN), `no_offers` ("No offers found": the offer list holds no offer that can be bought as is -- customizable listings have none; billed like a 404) or `asin_redirected` (Amazon answers the ASIN with another listing's offers; billed like a 404). On agent.apiguru.app the answer also carries `success` and `_links` (self, and `details_url` per row); `billable_requests_count` is there on your own key only.best_sellersUse 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 a fragment such as 'shoes' landed on the whole 'Clothing, Shoes & Jewelry' department, or 'subcategory' when a word such as 'camera' named a subcategory), available_categories (that marketplace's departments with slugs; MCP: with compact=false) 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: $0.003 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.dealsUse 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. 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: $0.003 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 retrieval, scanning up to 3 feed 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+.seller_profile_batchUse 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 rejects the entire request with 400. Every row in results is an object with `status`: `ok` (the profile), `not_found` (Amazon has no page for that id on this marketplace; billed, like a 404) or `unavailable` (could not be retrieved right now; NOT billed on the keyed path, `retryable: true`). A row is never null. billable_requests_count counts ok + not_found rows; on the pay-per-call rail the per-item quote is settled up front, so retry `unavailable` ids in a separate call rather than expecting a partial refund. On agent.apiguru.app the answer also carries `success` and `_links.self`; `billable_requests_count` is there on your own key only.seller_productsUse 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_filters like search does. Price: $0.003 per call. A malformed seller_id is a free 400, as on seller_profile_batch. metadata.total_pages counts every page of the result (48 rows a page), but Amazon serves at most 7 pages of one query: metadata.reachable_pages is how far page can go, and when it is less, pagination_note says how to see the rest (min_price/max_price bands or category_id). _links.next is the next page while there is one; a page past the end is a free 400 page_out_of_range. Invalid sort_by, price, product_condition or deal_type is a free 400 that lists the allowed values. No single sort order lists a whole storefront: Amazon's relevance order (the default) can count far fewer products than the store holds and repeats products across pages, and other orders include products it leaves out (measured on one store: relevance 321, NEWEST 1,898; on another, relevance and NEWEST shared 90 of 161 products). Page 1 of a storefront without `query` carries `coverage_note` with the recipe: page through sort_by=RELEVANCE and sort_by=NEWEST, split a store larger than 336 products into min_price/max_price bands, dedupe by asin. An empty storefront carries `note`: Amazon reports 0 products for a seller with no listings on that marketplace and for an id that is not a seller alike, so check it with seller_profile_batch (`_links.seller_profile`). Rows have the search row shape: `offers_count` is null unless the card shows a count, and `product_brand` is null on most storefront cards (Amazon prints no brand line there; product_details has `brand_name`).seller_reviewsUse 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 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).list_capabilitiesList 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.send_feedbackReport 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.
PoloPan Fashion MCP Server tools 19
region.get_currentGet the currently active shopping destination country, currency code, symbol, phone code, and catalog scope mode from persistent local configuration (~/.polopan/region.json).region.set_currentSet the active shopping country/region using any natural country name, city (e.g. 'Dubai', 'London', 'California', 'Paris'), 2-letter ISO code ('US', 'GB', 'IN', 'AE', 'CA'), or currency ('USD', 'AED', 'GBP', 'EUR'). Saves to persistent local JSON (~/.polopan/region.json) so the user never needs to be asked again across turns and sessions.region.list_supportedSearch the 240+ supported destination countries with localized currency codes, symbols, flags, phone codes, and price groups from live platform settings.address.get_currentGet the default delivery/shipping address saved for the currently active region from local configuration (~/.polopan/region.json). WHEN TO USE (CRITICAL ANTI-SHORTCIRCUIT RULE): - ALWAYS call this BEFORE generating 1-click checkout links to check if the user already has a saved delivery address for their destination country. - If 'has_address' is false, DO NOT emit a naked checkout link. Prompt the user naturally for their shipping address (First Name, Street Address, City, Postal Code, Phone & Email) and save it using 'address.save'. - If 'has_address' is true, inform the user you are prefilling their saved address and proceed with checkout.address.saveSave a customer delivery shipping address mapped to the active region in ~/.polopan/region.json. Matches Flutter app (newapp) address schema: firstName, lastName, address1, address2, city, province, zip, country, phone, email, type.address.list_savedList all saved customer delivery addresses stored in ~/.polopan/region.json, optionally filtered by country.address.set_defaultSet an existing address as the default shipping address for its country in ~/.polopan/region.json.address.deleteDelete a saved delivery address by ID from ~/.polopan/region.json.products.search.textSearch PoloPan catalog products using a text keyword query with optional multi-attribute filters. Returns matching fashion items with available in-stock sizes, product specifications, shipping/return policies, discounted pricing, and verified purchase URLs (https://s.polopan.com/p/{handle}). Automatically localized to active country / 240+ destination regions. PURPOSE & DISAMBIGUATION: - Primary text-based catalog search tool for fashion discovery across apparel, footwear, and accessories. - Distinct from 'products.search.image_url' / 'products.search.image_upload': Use this tool for textual queries and keyword filters, NOT for visual image search. - Distinct from 'products.search.alternatives': Use this tool for open discovery queries, NOT for finding direct visual substitutes of a known product handle. - Distinct from 'looks.curation.by_occasion': Use this tool to search individual products, NOT complete multi-piece outfit looks. WHEN TO USE: - When a user searches for clothing or fashion styles using keywords, brand names, colors, or categories (e.g. 'black leather jacket', 'floral summer midi dress', 'men linen shirts'). - When refining catalog searches with structured filters like price ranges, gender, sizes, country regions, or vendor brands. WHEN NOT TO USE: - Do NOT use when the user provides an image URL or image file (use 'products.search.image_url' or 'products.search.image_upload'). - Do NOT use when searching for cheaper/higher-end substitutes of a specific known product (use 'products.search.alternatives'). - Do NOT use to find curated complete occasion outfits (use 'looks.curation.by_occasion'). BEHAVIOR & SAFETY: - Read-only and idempotent with no persistent state modifications. - Automatically sanitizes and enriches product records with verified PoloPan short permalinks (https://s.polopan.com/p/{handle}), computed in-stock size lists, and human-readable shipping and return policy strings. - Handles pagination and multi-attribute filtering deterministically. PARAMETERS & CONSTRAINTS: - 'query' (string, required): Free-text search query or style keyword (e.g. 'black linen shirt', 'oversized hoodie'). - 'country' (string, optional): Target country name, city, currency, or ISO-2 code (e.g. 'US', 'United States', 'UK', 'Dubai', 'CA', 'IN'). Defaults to active saved region. - 'mode' (enum, optional): Catalog mode: 'global' (ships to country) or 'local' (domestic only). - 'page' (integer >= 1, default 1): Pagination page number. - 'page_size' (integer 1-100, default 20): Number of products returned per page. - 'sort_by' (enum, default 'relevance'): Ranking criterion ('relevance', 'price', 'title'). - 'sort_order' (enum, default 'desc'): Sort direction ('asc' for ascending, 'desc' for descending). - 'gender' (string, optional): Target demographic filter ('men', 'women', or 'unisex'). - 'size' (array of strings, optional): Size filter array (e.g. ['S', 'M', 'L', 'XL', '32', '40']). - 'price_min' (number, optional): Minimum price threshold in local currency. - 'price_max' (number, optional): Maximum price threshold in local currency. - 'vendor' (array of strings, optional): List of brand or vendor names to filter by. MANDATORY AGENT INSTRUCTIONS: 1. Always communicate available in-stock sizes, fast dispatch SLA, and return policy for each product (Negative return days = 'Exchange only |X| days'). 2. When presenting or shortlisting products, display the product specifications table (Fabric, Pattern, Collar, Sleeves, Fit, Care). 3. Return the clean base link (https://s.polopan.com/p/{handle}) during browsing. Provide direct checkout link (https://s.polopan.com/p/{handle}/{size_index}) ONLY after the user's size is finalized.products.search.image_urlSearch PoloPan catalog products using visual image similarity from a publicly accessible image URL with optional multi-attribute filters. Returns visually similar products with available sizes, pricing, and verified purchase URLs (https://s.polopan.com/p/{handle}). Automatically localized to active country / 240+ destination regions. PURPOSE & DISAMBIGUATION: - Performs reverse visual search using computer-vision embeddings for a remote image URL. - Distinct from 'products.search.text': Use this tool when you have an image URL, NOT for textual keyword queries. - Distinct from 'products.search.image_upload': Use this tool for publicly hosted HTTP(S) image URLs, NOT for local file paths or base64 data. - Distinct from 'vision.outfit.detect_pieces': Use this tool to search catalog items matching an entire single-garment image, NOT for segmenting multi-garment influencer photos into bounding boxes. WHEN TO USE: - When the user shares a web link to an image (e.g. Pinterest, Instagram, blog post) and wants to find visually matching products in the PoloPan catalog. WHEN NOT TO USE: - Do NOT use when the image is stored on local disk or as base64 data (use 'products.search.image_upload'). - Do NOT use when searching by text descriptions (use 'products.search.text'). - Do NOT use when you need to crop/isolate individual outfit pieces from a full-body model photo (use 'vision.outfit.detect_pieces'). BEHAVIOR & SAFETY: - Read-only and idempotent with no persistent state modifications. - Downloads the image, generates visual embeddings, and retrieves ranked catalog matches. - Enriches all returned items with verified PoloPan purchase links and stock metadata. PARAMETERS & CONSTRAINTS: - 'image_url' (string, required): Publicly accessible HTTP(S) URL of the image to search for visual matches. - 'country' (string, optional): Target country name, city, currency, or ISO-2 code (e.g. 'US', 'United States', 'UK', 'Dubai', 'CA', 'IN'). Defaults to active saved region. - 'mode' (enum, optional): Catalog mode: 'global' (ships to country) or 'local' (domestic only). - 'page' (integer >= 1, default 1): Pagination page number. - 'page_size' (integer 1-100, default 20): Number of candidate items returned per page. - 'sort_by' (enum, default 'relevance'): Ranking attribute ('relevance', 'price', 'title'). - 'sort_order' (enum, default 'desc'): Sort order ('asc' or 'desc'). - 'gender' (string, optional): Target gender filter ('men', 'women', or 'unisex'). - 'size' (array of strings, optional): Filter by available size labels. - 'price_min' (number, optional): Minimum price threshold. - 'price_max' (number, optional): Maximum price threshold. - 'vendor' (array of strings, optional): Brand filter array. - 'personalize' (boolean, default false): Whether to apply personalized ranking weights.products.search.image_uploadUpload a local image file (or base64 string) and search PoloPan catalog products using visual image similarity. Returns matching products with available in-stock sizes, pricing, and verified purchase URLs (https://s.polopan.com/p/{handle}). Automatically localized to active country / 240+ destination regions. PURPOSE & DISAMBIGUATION: - Performs reverse visual search by uploading a local or base64-encoded image to secure temporary storage, then querying visual embeddings. - Distinct from 'products.search.image_url': Use this tool when the image file is local on the user's machine or in base64 format, NOT already on a public URL. - Distinct from 'vision.outfit.detect_pieces': Use this tool to search for products matching a single garment, NOT for decomposing full multi-piece outfits into bounding boxes. WHEN TO USE: - When a user uploads a local photo/screenshot or supplies base64 image data to find matching fashion products in the catalog. WHEN NOT TO USE: - Do NOT use when the image is already accessible via a public web URL (use 'products.search.image_url'). - Do NOT use for text-only searches (use 'products.search.text'). BEHAVIOR & SAFETY: - Read-only catalog query with temporary image upload artifact (automatically expires after 'expiry_hours', default 24h). - Resolves MIME types automatically if not explicitly provided. - Enriches all returned items with verified PoloPan purchase links and stock metadata. PARAMETERS & CONSTRAINTS: - 'image_path' (string, optional): Local file system path to the image file (one of image_path or image_base64 is required). - 'image_base64' (string, optional): Base64-encoded image data string. - 'country' (string, optional): Target country name, city, currency, or ISO-2 code (e.g. 'US', 'United States', 'UK', 'Dubai', 'CA', 'IN'). Defaults to active saved region. - 'mode' (enum, optional): Catalog mode: 'global' (ships to country) or 'local' (domestic only). - 'content_type' (string, default 'image/jpeg'): MIME type of the uploaded image (e.g. 'image/jpeg', 'image/png', 'image/webp'). - 'expiry_hours' (integer 1-168, default 24): Temporary upload lifetime in hours before expiration. - 'page' (integer >= 1, default 1): Pagination page number. - 'page_size' (integer 1-100, default 20): Number of items per page. - 'sort_by' (enum, default 'relevance'): Sorting attribute ('relevance', 'price', 'title'). - 'sort_order' (enum, default 'desc'): Sort direction ('asc' or 'desc'). - 'gender' (string, optional): Target gender filter ('men', 'women', or 'unisex'). - 'size' (array of strings, optional): Size filter array. - 'price_min' (number, optional): Minimum price threshold. - 'price_max' (number, optional): Maximum price threshold. - 'vendor' (array of strings, optional): Brand filter array. - 'personalize' (boolean, default false): Whether to personalize search ranking.vision.outfit.detect_piecesDeconstruct an outfit image or influencer photo into individual fashion pieces (e.g. Upper-body garment, Lower-body garment, Dress, Footwear, Bag, Headwear) with normalized bounding box coordinates and detection confidence scores. PURPOSE & DISAMBIGUATION: - Computer-vision object detection tool designed to analyze multi-item outfit photographs and isolate individual garments with their spatial coordinates. - Distinct from 'products.search.image_url' / 'products.search.image_upload': Use this tool to segment a full outfit into pieces before querying, NOT to directly retrieve catalog search results. - Distinct from 'looks.curation.recommend': Use this tool for image-based piece decomposition, NOT text-based styling suggestions. WHEN TO USE: - When the user provides a full-body model photo, street style snapshot, or celebrity outfit and wants to identify each individual clothing piece (jacket, top, pants, shoes, bag) to find matching products for each piece. WHEN NOT TO USE: - Do NOT use when the image contains only a single standalone garment (use 'products.search.image_url' or 'products.search.image_upload' directly). - Do NOT use for text-only searches (use 'products.search.text'). BEHAVIOR & SAFETY: - Read-only and idempotent with no persistent state modifications. - Supports input via local file path ('image_path'), base64 string ('image_base64'), or public URL ('image_url'). Exactly one source must be provided. - Returns an array of detected piece objects with 'label', 'confidence' (0.0 to 1.0), and normalized 'box' coordinates [ymin, xmin, ymax, xmax]. PARAMETERS & CONSTRAINTS: - 'image_path' (string, optional): Local file system path to the outfit image (e.g. '/tmp/outfit.jpg'). - 'image_base64' (string, optional): Base64-encoded image data string. - 'image_url' (string, optional): Public HTTP(S) URL of the image. - 'threshold' (number 0.05-0.95, default 0.22): Detection confidence threshold for bounding box filtering.- +7 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Apiguru Amazon Data
{
"mcpServers": {
"apiguru-amazon-data": {
"command": "npx",
"args": [
"-y",
"apiguru-mcp"
]
}
}
}
PoloPan Fashion MCP Server
{
"mcpServers": {
"polopan-fashion-mcp-server": {
"command": "npx",
"args": [
"-y",
"polopan-products-mcp"
]
}
}
}
Frequently asked questions
Apiguru Amazon Data is categorized under E-Commerce and uses a local stdio subprocess. PoloPan Fashion MCP Server belongs to E-Commerce and uses a local stdio subprocess. Pick Apiguru Amazon Data for e-commerce work and PoloPan Fashion MCP Server for e-commerce.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Apiguru Amazon Data is listed as freemium — a free tier with paid plans. Auth: no auth required. PoloPan Fashion MCP Server has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add apiguru-amazon-data and polopan-fashion-mcp-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Apiguru Amazon Data has a quality signal of 64/100 (Good) with 2 views, 0 installs and 0 GitHub stars. PoloPan Fashion MCP Server has 63/100 (Good) with 1 views, 0 installs and 1 GitHub stars.