bots.st/nexscope
Nexscope
Retrieve and search ecommerce product data
1814 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 24
- Answered
- 3 of the last 3 calls
How to reach it
- MCP, HTTP
https://api.nexscope.ai/mcp
What it can do
| Tool | What it says it does |
|---|---|
nexscope_1688_product_billboard | Query 1688 product bestseller billboard data for sourcing discovery and wholesale product research. Trigger when the user mentions 1688 product rankings, 1688 bestseller lists, wholesale hot products, domestic sourcing rankings, dropshipping product selection, 1688 trending products, bulk purchase… |
nexscope_1688_product_detail | Returns normalized public ecommerce research data with a fixed read-only provider path. |
nexscope_1688_product_search | Search and analyze products on the Chinese 1688 wholesale platform (Alibaba domestic B2B market) for sourcing, supplier discovery, and product selection. Trigger when the user mentions 1688 product search, finding suppliers on 1688, wholesale product queries, factory sourcing, dropshipping… |
nexscope_1688_search_by_image | 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. Triggered when users mention 1688 image search, 1688 visual… |
nexscope_ai_apparel_image_set_photography_v3 | Create apparel ecommerce image sets from clothing images with optional model and scene references. |
nexscope_ai_background_generator | Create product or lifestyle scene images from text prompts and optional reference images. |
nexscope_ai_clothes_changer_for_tops_bottoms | Dress a model image with upper and/or lower garment assets, supporting optional masks and original garment references. |
nexscope_ai_hand_repair | Improve hand appearance in generated model or lifestyle images. |
nexscope_ai_model_pose_generation | Generate model pose variations from an input image and either a pose prompt or posture reference image. |
nexscope_ai_model_scene_background_replacement | Generate scene variants for a model image using either a scene reference image or a text scene prompt. |
nexscope_ai_model_swap | Generate model images by combining a source product image with a model head image, optional masks, scene references, and prompt guidance. |
nexscope_ai_model_swap_2_0 | Generate model images from a product image and a full model reference image with optional segmentation and scene controls. |
nexscope_ai_product_marketing_image_set_v4 | Create ecommerce product marketing materials such as selling-point images and A+ style visuals from product images and brief inputs. |
nexscope_ai_suit_virtual_try_on | Dress a model image with a one-piece outfit or suit image, supporting optional garment and model masks. |
nexscope_ai_video_reclone | Generate a product marketing video using a reference video, reference images, and model-specific generation settings. |
nexscope_amazon_ads_api_access | Starts Amazon Ads OAuth authorization or returns safe connection and profile metadata. Access and refresh tokens are never accepted or returned. |
nexscope_amazon_ads_reporting | Uses the source get_report contract: omit reportId to create, supply reportId to poll, or supply a backend documentToken to download. |
nexscope_amazon_ads_sp_audience_report | Uses existing Amazon Ads authorization and tokenized download handling. Create once, poll by reportId, then download using a documentToken. |
nexscope_amazon_ads_sp_insights_report_download | Uses existing Amazon Ads authorization and tokenized download handling. Create once, poll by reportId, then download using a documentToken. |
nexscope_amazon_ads_sp_insights_report_status | Uses existing Amazon Ads authorization and tokenized download handling. Create once, poll by reportId, then download using a documentToken. |
nexscope_amazon_ads_sp_search_impression_share_report | Uses existing Amazon Ads authorization and tokenized download handling. Create once, poll by reportId, then download using a documentToken. |
nexscope_amazon_advertising | Accepts only documented ads_manager.sb/sd/sp operation IDs. Provider methods and paths are derived server-side; mutations require preview followed by confirmation. |
nexscope_amazon_alexa_search | 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… |
nexscope_amazon_asin_keywords | Use Nexscope 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. Trigger… |
In its maker's words
Ecommerce data MCP: Amazon, TikTok Shop, Walmart, Temu, Ozon, Shopee, 1688, Etsy, eBay & more
- Website
- www.nexscope.ai/mcp-map?co-from=mcp-registry
- Source
- github.com/nexscope-ai/nexscope-ecommerce-api
- Publisher
- nexscope
- Listed from
- the official MCP Registry as
io.github.nexscope/ecommerce - Version
- 1.0.3, updated 16 Oct 2026
- Kinds of work
- Shops and payments, Search and research, Images, video and audio
The domain it lives on
- nexscope.ai
- registered 4 Mar 2026 (8 months ago), at GoDaddy.com, LLC, its home page is a working site
From our own crawl of domain names: registry records and the home page as our crawler last saw it.
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 1814 ms | |
| Answered | 2538 ms | |
| Answered | 793 ms |
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