Market

io.github.vistoya由 GitHub 账号 vistoya 发布v1.0.0更新于 Oct 24, 2026

Search and get fashion products recommendations across multiple e-ecom stores

已验证Streamable HTTP可网页运行网页搜索与抓取商业与电商

概览

AI 生成的概览

Vistoya Market 让助手跨多个已收录的时尚商店进行语义搜索,查找并比较商品与品牌。

可以做什么
  • 按自然语言查询加类别、颜色、性别、价格等筛选条件,在已收录的时尚商店中搜索商品
  • 根据商品 ID 查找相似商品,用于“更多类似款”推荐
  • 获取单个商品的完整信息:描述、店铺信息、图片、SKU 变体与价格
  • 按风格、产地或审美搜索品牌,并查找与指定品牌相似的品牌
  • 列出可用的筛选维度(类别、颜色、材质、品牌、价格区间)以辅助查询
适用场景
适合让助手帮忙选购、比较或发掘跨店时尚单品与品牌,例如在预算内找一件外套,或寻找与已有商品相似的替代款。
运行要求
远程 Streamable HTTP 端点;目前无需认证、API 密钥或环境变量。README 另提供基于 npx 的配置助手,以及供不支持远程的客户端使用的 mcp-remote 桥接,这两种方式需要 Node.js。
安装前请注意
该端点为公开预览版且目前无认证,可用性与行为可能变化。查询内容和商品 ID 会发送给第三方 Vistoya 服务。返回的仅为商品目录信息,该服务器似乎不下单也不处理支付。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Market,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.vistoya%2Fmarket/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "market": {
      "type": "http",
      "url": "https://api.vistoya.com/mcp"
    }
  }
}

README

Vistoya MCP

Semantic search and recommendations across fashion stores, exposed as a Model Context Protocol server. Connect any MCP-compatible AI agent (Claude, Cursor, VS Code, ChatGPT, etc.) and let it discover products, find visually similar items, and explore stores in the Vistoya marketplace.

  • Registry name: io.github.vistoya/market
  • Endpoint: https://api.vistoya.com/mcp
  • Transport: Streamable HTTP
  • Website: https://vistoya.com

Quick setup

sh
npx @vistoya/mcp

Automatically detects and configures Claude Desktop, Claude Code, Cursor, Windsurf, and VS Code. Restart your AI client after running.

What it does

Vistoya indexes fashion products from many stores and embeds them with a vision-language model. The MCP server lets agents query that index in natural language and reason over the results.

Tools

ToolDescription
discover_productsSemantic search across all indexed stores. Accepts a natural-language query plus optional filters (category, color, gender, price, etc.) and returns ranked products.
find_similar_productsGiven a product ID, return visually and semantically similar products.
discover_brandsSemantic search over brand profiles. Find brands by style, origin, or aesthetic (e.g. "Italian streetwear brands", "minimalist Scandinavian labels").
find_similar_brandsGiven a brand name or key, return similar brands using brand-profile vectors.
get_productFetch full details for a single product by ID.
get_filtersList available filter values (categories, colors, materials, brands, …) so the agent knows what's filterable.

Manual install

Claude Desktop / Claude Code

Add to claude_desktop_config.json (or your Claude Code MCP config):

json
{  "mcpServers": {    "vistoya": {      "url": "https://api.vistoya.com/mcp"    }  }}

Cursor

Add to ~/.cursor/mcp.json:

json
{  "mcpServers": {    "vistoya": {      "url": "https://api.vistoya.com/mcp"    }  }}

VS Code (MCP extension)

Add to your mcp.json:

json
{  "servers": {    "vistoya": {      "type": "http",      "url": "https://api.vistoya.com/mcp"    }  }}

Generic stdio fallback (clients that don't support remote yet)

Use mcp-remote as a bridge:

json
{  "mcpServers": {    "vistoya": {      "command": "npx",      "args": ["-y", "mcp-remote", "https://api.vistoya.com/mcp"]    }  }}

Example prompts

Once connected, try:

  • "Find me a black leather jacket under $300"
  • "Show me something similar to this product"
  • "What cozy sweaters do you have for fall?"
  • "Find me running shorts under $100"

Discoverability

This server is published on the official MCP Registry. You can find it at:

https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.vistoya/market

Status

Public preview. The endpoint is publicly reachable and does not currently require authentication.

License

MIT — see LICENSE.

Contact

Issues and feature requests: open an issue on this repo.

来源:README.md,提交 5bd4e2a

工具

6

discover_products

Find fashion products using natural language and/or structured filters. Provide a `query` for semantic ranking via multimodal text+image embeddings ("oversized wool coat", "black leather jacket", "minimalist gold jewelry", "linen shirt for a beach wedding under $200") — best for open-ended discovery. Keep queries concrete: noun-led with up to one or two modifiers works best ("summer linen shirt" beats "breathable linen shirt perfect for summer"). Provide only structured filters (category, brand, colors, gender, price, etc.) for pure browse — results are recency-ranked and paginate cleanly. Combine both for filtered semantic search. At least one of query or a filter must be provided. Example calls (notice the sparse filter population — descriptive attributes stay in `query`, not in structured fields): - "linen wedding guest dress under $200" → {query: "linen wedding guest dress", gender: "women", max_price: 200, materials: ["linen"]} - "wool coat under $300" → {query: "wool coat", gender: "women", max_price: 300, materials: ["wool"]} - "browse women's black dresses $100-$300" → {gender: "women", category: "clothing/dresses", colors: ["black"], min_price: 100, max_price: 300} - "Acne Studios outerwear" → {query: "outerwear", brand: "Acne Studios", gender: "women"} Returns compact product cards: AI-generated summary, price, images, tags, and compact availability by color/size; variant price differences are nested under the availability dimension that determines price. For merchant description, store info, SKU-level variants, exact variant prices, and all product images, call get_product with a product ID from these results. Multi-currency prices supported (e.g. "under 200 zł" or min_price=200 + currency="PLN"); returned prices render in the requested currency when provided.

输入参数pagebrandlimitquerycolorsgenderseasonstylescountrypatternsleevescategory另有 13 个

find_similar_products

Given a product ID, find similar products across the entire catalog. Useful for "more like this" recommendations or finding alternatives. Returns compact product cards, not full variant detail; call get_product for SKU-level variants, exact variant prices, merchant description, store info, and all images. Returns page and hasNextPage. Returns up to 20 results per page, paginated (max 3 pages).

输入参数pagelimitcountrycurrencyproduct_id必填

discover_brands

Find fashion brands using natural language, structured filters, or both. Best for queries like "Italian streetwear brands", "Scandinavian minimalist brands", "Japanese technical outerwear", "brands with avant-garde tailoring", or qualified similarity such as "brands like Rick Owens for technical outerwear". For a plain "brands like X" request, use find_similar_brands. Country adjectives ("Italian", "Scandinavian", "Nordic", "Japanese", "Iberian", "Benelux") are parsed server-side into shipping-origin filters; you don't need to translate them to ISO codes. `query` is optional — provide a query, structured filters, or both. Brand country/shipping signals are best-effort and separate from product availability.

输入参数limitquerystylecountryprice_tiergender_focuscategory_focusships_from_country

find_similar_brands

Given an active catalog brand name or merged alias, find similar brands using brand-profile vectors generated during product indexing. Unknown or ambiguous seeds return no brands. Returns up to 20 brands.

输入参数brand必填limitcountry

get_product

Get the detailed response for a specific product ID. Use this after discover_products or find_similar_products when you need merchant description, store info, all images, SKU-level availability variants, SKU, colorKey/size matrix, exact variant prices/compareAtPrice in the requested currency, and the direct link to purchase.

输入参数countrycurrencyproduct_id必填

get_filters

Returns available filter values in the catalog. By default returns categoryTree plus brands, colors, materials, genders, occasions, seasons, styles, silhouettes, currencies, and price range. Use "fields" to request only specific dimensions — faster and less data. "categoryTree" is a flat DFS-ordered list of { value, label } entries; hierarchy is encoded in the value slug (e.g. "clothing/jackets/bomber-jackets"), parents appear before descendants, and every value can be passed directly to discover_products.category. Use "brand_search" to search brands by prefix instead of listing all. Pass "gender" to scope categoryTree to that gender (women/men/girls/boys); omit to see the merged union.

输入参数fieldsgendercountrybrand_pagebrand_search

版本历史

1
  1. v1.0.0最新Sep 16, 2026

评分

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