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Market MCP Server

answering

Market is answering right now. Last checked 3 min ago. It exposes 6 tools. Last commit 9 Jun 2026.

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

Uptime history 48 days of history · worst day 92%
48 days agonow
100.0%
Uptime 24h
92 of 92 checks
6
Tools
read from the server
267 ms
Response time
average over 24h
0
Stars
last commit 9 Jun 2026

What changed 6

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 13 August 2026. No other catalogue keeps this.

14 Aug 2 tools changed the parameters they ask for discover_brands, find_similar_brands
14 Aug a tool description was rewritten discover_brands
13 Aug 2 tools changed the parameters they ask for discover_brands, find_similar_brands
13 Aug a tool description was rewritten find_similar_brands

Nothing serious here today

Today is the operative word: we check Market every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.

run in your terminal
claude mcp add market --transport http https://api.vistoya.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "market": {
      "url": "https://api.vistoya.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.market]
url = "https://api.vistoya.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "market": {
      "url": "https://api.vistoya.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "market": {
      "url": "https://api.vistoya.com/mcp"
    }
  }
}

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

discover
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.
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.
similar
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.
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).
filters
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.
product
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.

Endpoints

URLTransportStateLatencyChecked
https://api.vistoya.com/mcp streamable-http answering 252 ms 3 min ago

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Market — questions

Answers built from our own checks of this server.

What can Market do?
It exposes 6 tools, read directly from the server on our last check. Among them: discover_brands, discover_products, find_similar_brands, find_similar_products, get_filters, get_product. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Market mostly used for?
Its tools cluster around similar and discover. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Market working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 267 ms. The bar chart above shows every period we have measured.
How do I connect Market?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Market need an API key?
No. Market completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Market?
It answers our handshake in 267 ms on average, which is faster than 55% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Market open source?
Yes — it is published under the MIT licence, written in JavaScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.