Kuaidi100 launched China's first MCP-protocol-compatible logistics information service platform. The core API services of Kuaidi100's Baidiy
Market is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Search and get fashion products recommendations across multiple e-ecom stores
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http market-mcp https://api.vistoya.com/mcp
# 2 — ask your agent for something these tools do
# discover_products, find_similar_products, discover_brands and 3 more
Market costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http market-mcp https://api.vistoya.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
6 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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" b
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | no | Natural language search query — be descriptive for best results. Can include price with currency symbols (e.g. "white coat under 200 zł") which will be parsed automatically. Optional: when omitted, re |
| category | string | no | Category slug, e.g. "clothing", "clothing/jackets", "clothing/jackets/bomber-jackets". Accepts last-segment shortcuts when unambiguous — e.g. "loafers-and-slip-ons" resolves the same as "shoes/loafers |
| colors | array | no | Filter by lowercase colors: e.g. ["black", "navy", "sage green"] |
| exclude_colors | array | no | Exclude products with these colors: e.g. ["white", "beige"] |
| color_match | string | no | Color matching mode. "any" (default): product has at least one of the queried colors. "exact": product has at least one image where the ONLY colors are the queried colors — use for mono-color searches |
| materials | array | no | Filter by lowercase materials: e.g. ["cotton", "silk", "leather"] |
| exclude_materials | array | no | Exclude products with these materials: e.g. ["polyester", "nylon"] |
| gender | string | no | Gender filter. |
| occasion | string | no | Occasion filter. Soft descriptor — set ONLY when the user explicitly named the occasion. The query field already captures occasion semantically; over-specifying is the most common cause of zero-resu |
| season | string | no | Season filter. Soft descriptor — set ONLY when the user explicitly named the season. The query field already captures season semantically; over-specifying is the most common cause of zero-result cal |
| styles | array | no | Style filter (OR semantics — a product matches if any of its styles values is in this list). Pass a single value to filter by one style ("styles": ["minimalist"]); pass several to span a related set |
| silhouette | string | no | Silhouette/fit filter (e.g. fitted, slim, regular, relaxed, oversized). Soft descriptor — set ONLY when the user explicitly named the fit. The query field already captures silhouette semantically; o |
| pattern | string | no | Pattern filter (e.g. solid, stripe, checked, floral). Soft descriptor — set ONLY when the user explicitly named the pattern. Default for unspecified ("solid") leaks into queries and zeros the candidat |
| neckline | string | no | Neckline filter. Soft descriptor — set ONLY when the user explicitly named the neckline. Do not infer from category or query. |
| sleeves | string | no | Sleeve style filter. Soft descriptor — set ONLY when the user explicitly named the sleeve style. Do not infer from category or query. |
| available_sizes | array | no | Filter by available size labels, e.g. ["s", "m", "38"]. |
| is_sustainable | boolean | no | True when the user explicitly wants products with sustainability claims. |
| brand | string | no | Filter by brand name |
| min_price | number | no | Minimum price (in the currency specified by "currency" param, or USD if omitted) |
| max_price | number | no | Maximum price (in the currency specified by "currency" param, or USD if omitted) |
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).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| product_id | string | yes | The product ID (from a previous search result) |
| limit | integer | no | Page size (1-20) |
| page | integer | no | Page number (1-3) |
| currency | string | no | ISO 4217 currency code to render prices in (e.g. "GBP", "EUR", "USD"). Defaults to USD. Stored native prices are preferred; falls back to FX conversion when a merchant-set price isn't available. |
| country | string | no | Optional shopper location as an ISO-3166-1 alpha-2 country code (e.g. "US", "GB", "DE"). Recorded for analytics and used to improve future offer geo-matching. Omit if unknown — absence preserves curre |
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"
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | no | Natural language brand search query, e.g. "Italian streetwear brands", "Scandinavian minimalist brands", "Japanese technical outerwear", or qualified similarity such as "brands like Rick Owens for tec |
| ships_from_country | string | no | Optional ISO-3166-1 alpha-2 country filter for best-effort store shipping origin, e.g. "IT", "US", "GB". Lowercase input is accepted and normalized to uppercase. This is not the same as brand origin. |
| style | string | no | Optional style filter, e.g. streetwear, minimalist, elegant, avant-garde, techwear. |
| price_tier | string | no | Optional public brand price-tier focus filter: budget, mid, premium, or luxury. Input "budget" maps to the brand-level output tier "value". |
| category_focus | array | no | Optional brand category focus filters, e.g. ["clothing", "shoes"]. |
| gender_focus | array | no | Optional brand audience focus filters. |
| limit | integer | no | Maximum number of brands to return (1-20, default 12). |
| country | string | no | Optional shopper location as an ISO-3166-1 alpha-2 country code (e.g. "US", "GB", "DE"). Recorded for analytics and used to improve future offer geo-matching. Omit if unknown — absence preserves curre |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| brand | string | yes | Brand name (case-insensitive), e.g. "Rick Owens". |
| limit | integer | no | — |
| country | string | no | Optional shopper location as an ISO-3166-1 alpha-2 country code (e.g. "US", "GB", "DE"). Recorded for analytics and used to improve future offer geo-matching. Omit if unknown — absence preserves curre |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| product_id | string | yes | The product ID (from a previous search result) |
| currency | string | no | ISO 4217 currency code to render prices in (e.g. "GBP", "EUR", "USD"). Defaults to USD. |
| country | string | no | Optional shopper location as an ISO-3166-1 alpha-2 country code (e.g. "US", "GB", "DE"). Recorded for analytics and used to improve future offer geo-matching. Omit if unknown — absence preserves curre |
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/bo
| Parameter | Type | Required | Notes |
|---|---|---|---|
| fields | array | no | Which filter dimensions to return. Omit for all. Example: ["categoryTree", "colors", "priceRange"] |
| brand_search | string | no | Search brands by name (case-insensitive, prefix matches first). Only affects the brands field. |
| brand_page | integer | no | Page number for brands (12 per page). Use with or without brand_search. |
| gender | string | no | Scope categoryTree to this gender. Omit to return the merged union across women/men/girls/boys. |
| country | string | no | Optional shopper location as an ISO-3166-1 alpha-2 country code (e.g. "US", "GB", "DE"). Recorded for analytics and used to improve future offer geo-matching. Omit if unknown — absence preserves curre |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Market or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither: the repository linked on this page is where this record was collected from, not a copy of what the address serves, so it is not graded in its place. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Market can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.