nexscope-skill-api is an MCP server with 24 tools an agent can call, among them nexscope_1688_product_billboard, nexscope_1688_product_detail, nexscope_1688_product_search. It answers at https://api.nexscope.ai/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 1 of 1 times since 9 November 2026; the last check, on 9 November 2026, succeeded.
MCP server at api.nexscope.ai, verified by introspection: 24 tools exposed.
Description as the publisher wrote it.
| Tool | What 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, dropshippin Inputs: keyWord, date, pageType, pageIndex, pageSize, sortField |
nexscope_1688_product_detail | Returns normalized public ecommerce research data with a fixed read-only provider path. Inputs: offerId, country, currency |
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, wholesa Inputs: keyWord, goodsUrl, productIds, cycle, searchType, sortField |
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. Triggere Inputs: imageUrl, imageBase64, imageId, page, pageSize, priceStart |
nexscope_ai_apparel_image_set_photography_v3 | Create apparel ecommerce image sets from clothing images with optional model and scene references. Inputs: imageList, provider, sellerPoint, isExtractPrePoint, resolution, aspectRatio |
nexscope_ai_background_generator | Create product or lifestyle scene images from text prompts and optional reference images. Inputs: prompt, imageUrl, style, scale, outputNum |
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. Inputs: modelImageUrl, upperOriginUrl, downOriginUrl, upperImageUrl, downImageUrl, modelMaskImageUrl |
nexscope_ai_hand_repair | Improve hand appearance in generated model or lifestyle images. Inputs: imageUrl, personType, maskUrl, outputNum |
nexscope_ai_model_pose_generation | Generate model pose variations from an input image and either a pose prompt or posture reference image. Inputs: imageUrl, prompt, postureUrl, outputNum |
nexscope_ai_model_scene_background_replacement | Generate scene variants for a model image using either a scene reference image or a text scene prompt. Inputs: imageUrl, sceneImgUrl, scenePrompt, imageSegUrl, sceneStrength, genOriRes |
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. Inputs: imageUrl, modelHeadImageUrl, imageSegUrl, sceneImgUrl, sceneStrength, modelPrompt |
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. Inputs: imageUrl, modelImageUrl, outputNum, imageSegUrl, sceneImgUrl, sceneStrength |
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. Inputs: imageList, provider, sellerPoint, isExtractPrePoint, resolution, aspectRatio |
nexscope_ai_suit_virtual_try_on | Dress a model image with a one-piece outfit or suit image, supporting optional garment and model masks. Inputs: suitOriginUrl, modelImageUrl, suitImageUrl, modelMaskImageUrl, outputNum |
nexscope_ai_video_reclone | Generate a product marketing video using a reference video, reference images, and model-specific generation settings. Inputs: refVideoUrl, refImageList, videoType, videoTime, resolution, aspectRatio |
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. Inputs: operation, region, marketplaceId, accountName, connectionId |
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. Inputs: connectionId, reportId, reportTypeId, adProduct, groupBy, columns |
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. Inputs: connectionId, startDate, endDate, advertiserAccountId, timeUnit, detailLevel |
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. Inputs: connectionId, 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. Inputs: connectionId, reportId |
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. Inputs: connectionId, startDate, endDate, advertiserAccountId, timeUnit |
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. Inputs: operationId, connectionId, payload, queryString, adType, action |
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 agen Inputs: prompts, format, url |
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 v Inputs: asin, country, keyword, timePieceType, timePieceValue, conditions |
Every block below points at https://api.nexscope.ai/mcp. Pick your client and copy.
claude mcp add --transport http nexscope-skill-api https://api.nexscope.ai/mcp
{
"mcpServers": {
"nexscope-skill-api": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://api.nexscope.ai/mcp"]
}
}
}{
"mcpServers": {
"nexscope-skill-api": {
"url": "https://api.nexscope.ai/mcp"
}
}
}{
"servers": {
"nexscope-skill-api": {
"type": "http",
"url": "https://api.nexscope.ai/mcp"
}
}
}{
"context_servers": {
"nexscope-skill-api": {
"url": "https://api.nexscope.ai/mcp"
}
}
}{
"mcpServers": {
"nexscope-skill-api": {
"serverUrl": "https://api.nexscope.ai/mcp"
}
}
}{
"mcpServers": {
"nexscope-skill-api": {
"url": "https://api.nexscope.ai/mcp"
}
}
}name: nexscope-skill-api
version: 0.0.1
schema: v1
mcpServers:
- name: nexscope-skill-api
type: streamable-http
url: https://api.nexscope.ai/mcp{
"mcpServers": {
"nexscope-skill-api": {
"httpUrl": "https://api.nexscope.ai/mcp"
}
}
}{
"mcpServers": {
"nexscope-skill-api": {
"type": "http",
"url": "https://api.nexscope.ai/mcp"
}
}
}{
"mcpServers": {
"nexscope-skill-api": {
"url": "https://api.nexscope.ai/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fapi.nexscope.ai%2Fmcp&type=streamable_http&id=nexscope-skill-api&name=nexscope-skill-api
It answered our last check on 9 November 2026. Over 1 checks since 9 November 2026 it answered 1. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by nexscope.ai and served from api.nexscope.ai, the vendor's own domain: https://api.nexscope.ai/mcp.
24, as returned by the server's own tools/list on 9 November 2026: nexscope_1688_product_billboard, nexscope_1688_product_detail, nexscope_1688_product_search, nexscope_1688_search_by_image, nexscope_ai_apparel_image_set_photography_v3, nexscope_ai_background_generator, nexscope_ai_clothes_changer_for_tops_bottoms, nexscope_ai_hand_repair, and 16 more.
It answered our last check on 9 November 2026. Over 1 checks since 9 November 2026 it answered 1.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://api.nexscope.ai/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: api.nexscope.ai. Endpoint host: api.nexscope.ai. ARD identifier: urn:air:api.nexscope.ai:mcp:nexscope-skill-api.
First indexed 9 November 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.