MCP Tool Map for Ecommerce Agents

Use SIF (Search Intelligence Framework) data to analyze ASIN traffic source composition and exposure distribution, covering current period/previous period/newly entered/exited period comparisons.

Use SellerSprite data to search and filter Amazon products, supporting multi-dimensional criteria including price, monthly sales, BSR ranking, gross margin, ratings, fulfillment method, badges, seller origin, and more across multiple Amazon marketplaces.

Use SellerSprite data to find and analyze competitors on Amazon, covering 12 marketplaces, with product metrics including sales, BSR, pricing, ratings, and growth trends.

Query Amazon product detail and historical trends by ASIN using Sorftime data, covering 14 marketplaces.

Multi-dimensional Amazon product search and filtering based on Sorftime data, covering 14 marketplaces, with support for historical monthly snapshot lookback.

Use SellerSprite market list capability to filter Amazon niche markets by category dimensions, supporting market size, competition, top concentration, seller structure, new product share, price/rating/margin ranges, and many other criteria for discovering viable markets and evaluating product selection directions.

Use SellerSprite market statistics capability to output a market statistics dashboard by category node, including top listing average rating, average price, BSR, sales, seller count, and new product related metrics, suitable for quickly assessing the market quality and competitive landscape of a category.

Query and analyze Jiimore data for Amazon niche market insights, including market metrics, buyer reviews, competitive landscape, price trends, and growth trends.

Deep analysis of Amazon niche markets by product ASIN, covering monopoly level, brand concentration, new product success rate, and market opportunity score.

Amazon reverse product selection: filter Amazon niches and keywords by 30+ business dimensions (market size & growth, price tiers & share, competition density & top concentration, demographics such as age/gender/income, review highlights & pain points) from a metrics pool aggregated from historical business insight reports.

Query Amazon is latest policy, regulation, and compliance feed. Supports paginated browsing by marketplace and time range (with AI-generated Chinese summaries), and fetching full article body by record ID.

Jungle Scout Product Database multi-condition filtering. Filter Amazon products by category, price, sales volume, revenue, reviews, rating, weight, BSR rank, LQS, seller type, and more across 10 marketplaces.

Advanced Amazon product search and filtering powered by Keepa data, supporting multi-dimensional criteria including category, price, monthly sales, keywords, BSR rank, review count, rating, package dimensions, weight, fulfillment type, and more.

Retrieve detailed Amazon product information by ASIN, including title, images, bullet points, specifications, A+ content, pricing, ratings & reviews, variants, and more.

Amazon product discovery and potential bestseller mining via Jiimore data.

Retrieve Amazon product details by ASIN, including price, title, main image, listing date, material, weight, variant monthly sales, and up to 12 months of monthly sales history.

Query Amazon product historical time-series data, including price trends, BSR (Best Sellers Rank) trends, rating changes, seller counts, and monthly sales, supporting any ASIN across multiple Amazon marketplaces.

Use this directory to find the concrete API for a research goal. It returns links and typical inputs; invoke the linked API for the actual research data.

Find Amazon same-niche competitors by ASIN, with multi-dimensional filtering by click conversion rate, composite conversion rate, click volume, sales volume, reviews, ratings, price, and gross margin to identify potential competitors.

Fetch and analyze Amazon product reviews by ASIN, supporting 15 marketplaces (including US) with star rating filtering. Triggered when users mention Amazon reviews, US reviews, product reviews, buyer complaints, negative reviews, positive reviews, star ratings, review analysis, review sentiment, product improvement suggestions, Vine reviews, verified purchase reviews, competitor review research, Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review analysis, positive review analysis, star rating filter, review sentiment analysis, product improvement insights, Vine reviews, competitor reviews, customer feedback.

Jungle Scout ASIN sales estimates query, returning daily estimated sales and latest known price for a specified ASIN over a given time period, covering 10 marketplaces including US, UK, Germany, and Japan.

Simulates a real user searching on Amazon's storefront to get real-time keyword ranking and search results page data.

Perform image-based visual product search on Amazon across 8 marketplaces. Use an image URL to find visually similar products, with optional Keepa enrichment for sales data.

Runs the server-side image-search and enrichment workflow without exposing local file paths or intermediate artifacts.

Initiate natural language Q&A through Amazon's storefront Alexa shopping assistant to get shopping guidance answers, recommended product groups, ASIN lists, and follow-up questions. Each call supports only 1 prompt; for follow-ups, the agent must summarize context and concatenate a new question for a new request. A url can be used to supplement Amazon page context.

Query Walmart product details via WallySmarter, including pricing history and sales trends.

Search and browse Walmart product listings by keyword, category, price range, and other conditions.

Use SIF data to reverse-lookup traffic keywords for any Amazon ASIN, including organic ranking, ad ranking, search volume, traffic share, organic/paid scores, ABA TOP3 click concentration, click conversion rate, year-over-year search volume changes, and weekly/monthly time windows.

Jungle Scout keyword expansion tool that expands a seed keyword into a list of related keywords with search volume, trends, PPC bids, ranking difficulty, and other metrics, covering 10 Amazon marketplaces including US, UK, DE, JP, etc.

Query and analyze Amazon ABA (Brand Analytics) search term data, covering 15 marketplaces with nearly 3 years of weekly data.

SIF overview analysis of Amazon keyword market competition.

Jungle Scout keyword historical search volume query, returning Amazon keyword exact search volume trends in 7-day periods, covering 10 marketplaces including US, UK, DE, JP, etc.

Jungle Scout keyword Share of Voice analysis, returning brand visibility share across the first 3 pages of Amazon search results (organic/ad/combined), 30-day exact search volume, median PPC bid, and TOP3 ASIN click and conversion data, covering 10 marketplaces.

Break down all competitor ASIN traffic sources under a given keyword -- organic search, SP ads, SB brand ads, SBV video ads, SP recommendations, AC/ER/TR recommendation slots, with support for ASIN filtering, custom date ranges, and new traffic keyword filters.

Deep analysis of Amazon niche markets by keyword, covering monopoly level, brand concentration, new product success rate, and market opportunity score.

Amazon niche market review analysis and consumer sentiment insights.

Query Amazon business insight reports by keyword, covering six dimensions: market potential, product characteristics, user reviews, customer profiles, search trends, and pricing analysis with AI-powered comprehensive analysis.

Query traffic keyword lists for an Amazon ASIN via SellerSprite, including traffic source type, conversion type, organic rank, and ad rank with historical month and multi-dimensional sorting.

Google Trends keyword search popularity comparison and trend analysis, supporting global regions and custom time ranges. Triggered by: Google Trends, keyword popularity over time, search interest comparison, keyword trend analysis, seasonal trend detection, regional search popularity, keyword heatmap, multi-keyword comparison on Google, keyword research, market trend analysis, search trends, seasonal analysis, regional popularity.

Seerfar Ozon keyword reverse lookup: reverse-looks up Ozon (and Wildberries) search keywords by a list of product SKUs (up to 20), returning which search terms those products appear under (organic/ad search terms), with multi-dimensional filtering by search volume, growth, product count, seller count, competitor count, natural rank, ad rank, exposure, conversion, cart-add conversion, etc. Each keyword carries monthly search volume, growth, market space, competitor/seller counts, average price, cart-add conversion, top products, and organic/ad channel, rank, exposure, and conversion (dimension) market profiles. Use for Ozon keyword reverse lookup, listing keyword optimization, competitor traffic word mining, and ad keyword analysis. Also

Seerfar Ozon keyword mining: mines Ozon (and Wildberries) related keywords around a seed keyword with multi-dimensional filtering by search volume, growth, product count, seller count, competitor count, price, relevancy, title density, cart-add conversion, etc. Each mined keyword carries a full market profile (monthly search volume, growth, market space, competitor/seller counts, average price, cart-add conversion, top products). Use for Ozon keyword expansion, long-tail keyword mining, and seed keyword opportunity analysis. Also

Seerfar Ozon market hot keyword search: filters Ozon (and Wildberries) market keywords by multi-dimensional metrics including search volume, growth, product count, seller count, competitor count, price, sales, conversion concentration, etc. Each keyword carries monthly search volume, growth, market space, competitor/seller counts, average price, cart-add conversion, top products, and market profile. Use for Ozon keyword selection, blue-ocean keyword mining, and market opportunity analysis. Also

Batch query TikTok product detail data, including multi-period sales and GMV (1d/7d/15d/30d/60d/90d/cumulative), live sales and live GMV, promoting video and creator data, views, price, rating, review count, commission rate, and delisted/fully-managed status. Supports batch retrieval by product ID or TikTok Shop product URL.

Search TikTok e-commerce creator leaderboards via Kalodata and query detailed profiles for specific creators. Supports viewing top-performing influencer-sellers by region, currency, language, and date range, and using creatorId to retrieve follower count, video/live revenue and GPM, contact information, and associated shops.

Queries Kalodata creator rankings by region and date range.

Search TikTok e-commerce livestream leaderboards via Kalodata and query detailed data for specific livestreams. Supports viewing high-ranking, high-sales TikTok shopping livestreams by region, currency, language, and date range, and using livestreamId to retrieve revenue, viewers, duration, GPM, and number of products sold.

Discover trending new products across 16 TikTok Shop regional markets via EchoTik new product ranking data.

Query TikTok e-commerce product leaderboards via Kalodata and query detailed data for specific products. Supports viewing high-ranking/hot-selling products by region, currency, language, and date range, and using productId to retrieve price range, sales, revenue, commission rate, listing/delisting time, and owning shop.

Queries Kalodata product details, including price, sales, revenue, commission, lifecycle, and shop data.

Search and filter TikTok global e-commerce products based on FastMoss data, supporting keyword search, multi-dimensional filtering (category, shop type, commission rate, sales, creator count, etc.) and sorting.

Search and analyze TikTok product data including sales, influencer sales data, pricing, and commission rates across 16 TikTok Shop sites.

Query TikTok Shop store (seller) details, retrieving a complete store profile by sellerId with total sales, multi-period (1d/7d/30d/90d) sales and GMV, followers, rating, review count, positive feedback rate, delivery rate, response rate, in-store product count, promoting creator count, promotional video count, livestream count, price range, product categories, and estimated listing time.

Search TikTok e-commerce store leaderboards via Kalodata and query detailed information for specific stores. Supports viewing high-ranking, high-sales TikTok Shop stores by region, currency, language, and date range, and using shopId to retrieve revenue, sales volume, on-sale product count, self-operated/affiliate/shopping mall channel revenue, and creator collaboration count.

Query TikTok global e-commerce market top-selling product rankings via FastMoss data, supporting daily/weekly/monthly dimensions and category-level analysis.

Search TikTok e-commerce trending promotional video leaderboards via Kalodata and query detailed data for specific videos. Supports viewing high-ranking/high-view/hot-selling promotional videos by region, currency, language, and date range, and using videoId to retrieve views, likes, comments, shares, revenue, GPM, and advertising metrics.

Resolve TikTok video URLs to return no-watermark/watermarked download addresses, playback addresses, and cover image addresses for saving promotional video assets or offline analysis.

Search and analyze TikTok video data, filter videos by region, creator, product, category, views, duration, publish time, selling/ad/AI video flags, and return views, likes, comments, shares, favorites, video sales and GMV metrics across 16 TikTok Shop sites.

Search synced Temu category data in the local database by keyword to find category Chinese names, English names, and category IDs for use in product/store filtering.

Filter Temu products by multiple dimensions (keyword/product ID/store ID, front/backend categories, price, rating, reviews, total/weekly/daily sales, listing date, fully-managed/semi-managed, semi-managed regions, tags, etc.).

Filter Temu stores by multiple dimensions (store name/ID, country site, backend category, fully-managed/semi-managed, total/weekly/monthly sales and revenue, rating, reviews, followers, product count, store opening time, etc.).

Query 1688 product bestseller billboard data for sourcing discovery and wholesale product research.

Search and analyze products on the Chinese 1688 wholesale platform (Alibaba domestic B2B market) for sourcing, supplier discovery, and product selection.

Perform image-based product search on the 1688 platform. Use an image URL to find visually similar supplier products, returning title, price, minimum order quantity, monthly sales, repurchase rate, trade score, and seller identity.

Filter Shopify standalone store products by multiple dimensions (keyword/URL, price, weekly sales, listing date, Facebook ads, competitiveness, supplier availability, shipping country, etc.).

Filter Shopify standalone stores by multiple dimensions (store name/domain, country, years since creation, product count, ad count, monthly visits, monthly orders, social media followers, etc.).

Search Etsy category data by name, ID, or parent IDs to find category identifiers for product/store filtering.

Query Etsy products with multi-dimensional filters (keyword/URL, price, sales, favorites, reviews, listing date, category, handmade/vintage types, Pick/Bestseller/Raving tags).

MPSTATS Ozon Russia brand drill-down product list. Returns all products under an Ozon brand display name (Russian/Latin) with complete metrics: sales, revenue, price, rating, stock, turnover, lost revenue, supporting multi-dimensional numeric filters, sorting, and currency conversion. Use for brand benchmarking, competitor analysis, brand product structure research, SKU-level bestseller analysis. Also

MPSTATS Ozon Russia category drill-down product list by Russian category path. Returns all products in a category with complete metrics: sales, revenue, price, rating, stock, turnover, lost revenue, supporting multi-dimensional numeric filters, sorting, and currency conversion. Use for category bestseller mining, blue-ocean insight discovery, category ranking analysis, brand landscape observation. Also

Seerfar Ozon category product search: fetches the product list for a given Ozon category ID, returning category-level aggregates (total sales, total revenue, average price, average rating, seasonality) and per-product sales, price, rating, review count, brand, seller, and fulfillment method. Use for category selection analysis, category bestseller mining, category capacity and price band analysis, seasonality assessment. Also

MPSTATS Ozon Russia SKU full detail batch query. Pass up to 100 Ozon product IDs at once, returning each SKU's price, discount, Ozon Card price, rating, review count, stock, sales, revenue, revenue potential/lost revenue, listing date, images, and complete product card. Also

Seerfar Ozon product detail query: fetches the complete detail of a single Ozon product by SKU, returning title, price (RUB), rating, review count, QA count, total and daily average sales within the stats window, revenue, stock, category ranking, daily sales trend, brand, seller, fulfillment method (FBO/FBS/OZON), weight, and listing time/days/months. Use for single product deep analysis, competitor product teardown, Ozon product selection assessment, listing diagnosis, sales trend and category ranking tracking. Also

Seerfar Ozon product report search: filters Ozon products by multi-dimensional metrics including sales, revenue, sales/revenue growth rate, cart conversion rate, order conversion rate, price, rating, review count, QA count, variant count, page views, gross margin, return/cancellation rate, ad spend share, weight/volume, listing time, brand, seller, fulfillment method, and labels. Returns each product's SKU, title, price (RUB), sales, revenue, lost revenue, conversion rate, rating, reviews, brand, seller, fulfillment method, listing days/months, and complete product report fields. Use for Ozon product selection, competitor product analysis, best-seller mining, price/conversion band filtering. Also

MPSTATS Ozon Russia product search and reverse lookup. Searches Ozon products in the MPSTATS database by Russian keyword or SKU, returning product ID, title, brand, and seller information. The entry point for Ozon product discovery and competitor analysis chains. Also

MPSTATS Ozon Russia single SKU daily time-series performance. Returns daily sales units, price, stock, rating, and optionally search position/visibility data for one Ozon product by date granularity. Use for validating growth trends, seasonality, and anomaly detection. Also

MPSTATS Ozon Russia seller drill-down product list by seller ID. Returns all SKUs under a seller with complete metrics: sales, revenue, price, rating, stock, turnover, lost revenue, supporting multi-dimensional numeric filters, sorting, and currency conversion. Use for store structure analysis, seller bestseller analysis, competitor store benchmarking. Also

Seerfar Ozon shop product search: fetches the product list of an Ozon shop (seller) by shop ID, returning each product's 30-day sales, price, rating, weight, fulfillment method (FBO/FBS), seller type (local/cross-border), return/cancellation rate, and the shop's total 30-day sales. Use for competitor shop product analysis, shop bestseller mining, seller product structure analysis. Also

Search and browse product listings across multiple eBay international sites.

YouYing Shopee product selection tool supporting product query and filtering across all Shopee marketplaces, covering Malaysia, Taiwan (China), Indonesia, Thailand, Philippines, Singapore, Vietnam, Brazil, Mexico, Chile, and Colombia.

AI Overview (AI Mode) scraping via Google Search. Returns AI-summarized key points for a single keyword, ideal for deep research, technical Q&A, long-tail product selection, and cross-border consumer preference analysis using the latest web information. Single-round only; follow-ups require the agent to summarize context and issue a new request. Triggered by: Google AI, AI Overview, AI Mode, Google AI search, AI search, deep research, consumer preference analysis, web summary, long-tail product research, cross-border market insights.

Query and analyze Google Trends real-time hot topics and trending searches for a specified time range and country/region. Triggered by: Google Trends, hot topics, real-time trending, popular trends, current hot searches, recent trending, viral topics, trending searches, trend discovery, market trends, what's popular, trending now, breakout topics.

Web search, online retrieval, real-time information query, search engine search, Reddit and other community platform discussions, external site posts and trending topics.

Generate ecommerce images with the Nano Banana base image model. The model is fixed by this API, so provider must not be supplied in the request.

Generate higher-resolution ecommerce images with the Nano Banana Pro model. The model is fixed by this API, so provider must not be supplied in the request.

Generate ecommerce images with the Nano Banana 2 model. The model is fixed by this API, so provider must not be supplied in the request.

Generate ecommerce images with the Nano Banana 2 Lite model. The model is fixed by this API, so provider must not be supplied in the request.

Generate ecommerce images with the Wan 2.7 image model. The model is fixed by this API, so provider must not be supplied in the request.

Generate ecommerce images with the Seedream 5 image model. The model is fixed by this API, so provider must not be supplied in the request.

Generate ecommerce images with the Seedream 5 Pro image model. The model is fixed by this API, so provider must not be supplied in the request.

Generate ecommerce images with the GPT Image 2 model and optional quality control. The model is fixed by this API, so provider must not be supplied in the request.

Generate or edit ecommerce images with the AI Draw Edit model. The model is fixed by this API, so provider must not be supplied in the request.

Generate a video with Seedance 2.0 using a primary image or up to 9 reference images. The model is fixed by this API, so videoType must not be supplied in the request.

Generate a faster Seedance 2.0 video using a primary image or up to 9 reference images. The model is fixed by this API, so videoType must not be supplied in the request.

Generate a compact Seedance 2.0 video using a primary image or up to 9 reference images. The model is fixed by this API, so videoType must not be supplied in the request.

Generate a Seedance 2.5 video using a primary image or up to 30 reference images. The model is fixed by this API, so videoType must not be supplied in the request.

Generate a Kling 2.6 video using a first frame, first/last frames, or up to 2 reference images. The model is fixed by this API, so videoType must not be supplied in the request.

Generate a Kling 3 Omni video using first/last frames or up to 7 reference images. The model is fixed by this API, so videoType must not be supplied in the request.

Generate a Wan 2.6 video from a required primary image with optional camera control. The model is fixed by this API, so videoType must not be supplied in the request.

Generate a Hailuo 2.3 video from a required primary image; the aspect ratio is adaptive. The model is fixed by this API, so videoType must not be supplied in the request.

Generate a Happy Horse 2 video from 1 to 9 required reference images. The model is fixed by this API, so videoType must not be supplied in the request.

Generate model images by combining a source product image with a model head image, optional masks, scene references, and prompt guidance.

Generate model images from a product image and a full model reference image with optional segmentation and scene controls.

Generate scene variants for a model image using either a scene reference image or a text scene prompt.

Dress a model image with upper and/or lower garment assets, supporting optional masks and original garment references.

Dress a model image with a one-piece outfit or suit image, supporting optional garment and model masks.

Generate wearable-product imagery from a source person image and target product image.

Use source and target product references to replace product content while preserving scene consistency.

Generate multiple ecommerce scene variants from a product image, optional segmentation, and prompt guidance.

Create product or lifestyle scene images from text prompts and optional reference images.

Generate similar ecommerce images from a reference image with optional prompt and strength controls.

Cut out products, people, or clothing from a source image using an upstream background-removal model.

Run the Nexscope interactive cutout create/info flow as one API API call. The point list marks foreground/background guidance points.

Increase image resolution and optionally enhance visual quality.

Generate an expanded image around the original content using target width, height, and optional prompt.

Translate image text from a source language to a target language for ecommerce localization.

Improve hand appearance in generated model or lifestyle images.

Repair or regenerate a local image region using a mask and prompt.

Extract visible print or pattern elements from product imagery.

Remove selected objects or regions using a mask image.

Create decorative linked-word imagery using font, size, and prompt controls.

Generate natural hand-held product imagery from a person image and target product asset.

Extract descriptive prompts or selling-point text from one or more images.

Improve product presentation quality in a single ecommerce image.

Use an image mask to remove or edit text regions in an ecommerce image.

Perform general image editing with provider, prompt, resolution, aspect ratio, and quality controls.

Create an edited output from multiple source images using prompt, provider, resolution, and quality controls.

Generate a product marketing video using a reference video, reference images, and model-specific generation settings.

Create ecommerce product marketing materials such as selling-point images and A+ style visuals from product images and brief inputs.

Create apparel ecommerce image sets from clothing images with optional model and scene references.

Generate model pose variations from an input image and either a pose prompt or posture reference image.

Create a product-selling video from prompt and product image references.

Detect and optionally remove a specified brand logo from a product image.

Recolor the requested subject using one or more target colors.

Retrieves patent abstract images (drawings) from the Zhihuiya (PatSnap) patent database by patent ID or publication number. Also

Retrieves patent claims data from Zhihuiya (PatSnap). Also

Retrieves translated patent claims from the Zhihuiya (PatSnap) patent database. Also

Retrieve patent description (specification) data from the Zhihuiya patent database by patent ID or publication number.

Retrieve translated patent description (specification) text from Zhihuiya. Also

Query patent bibliographic (catalog) information from the Zhihuiya patent database by patent ID or publication number.

Retrieve fulltext images (drawings, diagrams, charts) from patent documents by patent ID or publication number.

Query patent legal status information from the Zhihuiya (PatSnap) database. Also

Retrieve translated patent titles and abstracts from the Zhihuiya (PatSnap) patent database. Also

Detect image copyright infringement risks by comparing against a database of registered copyrighted works with similarity scoring, TRO litigation history, and radar-based infringement assessment.

Detect design patent infringement risks by comparing a product image against a global design patent database across 25+ jurisdictions.

Check product images against a database of policy-violating items using visual similarity matching.

Detect graphic trademarks in product images by comparing against registered trademark databases across 15 major trademark offices using YOLO-based object detection and visual similarity.

Text trademark detection and infringement risk analysis for e-commerce product listings.

Detect and search for similar utility/invention patents based on product information.

Perform visual similarity search for design patents using an image URL, with filtering by country, legal status, date ranges, Locarno classification, and assignee. Supports design patent types only (type D). For utility model patents, use ecommerce.zhihuiya-utility-patent-image-search instead.

Perform visual similarity search for utility model patents using an image URL, with filtering by country, legal status, date ranges, and assignee. Supports utility model patents only (type U) with shape-only or shape+pattern+color matching models. For design patents, use ecommerce.zhihuiya-patent-image-search instead.

Starts Amazon Ads OAuth authorization or returns safe connection and profile metadata. Access and refresh tokens are never accepted or returned.

Uses the source get_report contract: omit reportId to create, supply reportId to poll, or supply a backend documentToken to download.

Accepts only documented ads_manager.sb/sd/sp operation IDs. Provider methods and paths are derived server-side; mutations require preview followed by confirmation.

Searches the Zhihuiya patent database and returns matching patent identifiers and publication numbers.

Creates a text-generation task from product copy instructions and image URLs, or queries a known task ID.

Creates a video-generation task using the documented upstream contract, or queries a known task.