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MCP server · Search

io.github.vistoya/market

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

Unclaimed search
34Low

Scored 6 months ago · breakdown

About io.github.vistoya/market

io.github.vistoya/market is an MCP server published by vistoya in the Search category: search and get fashion products recommendations across multiple e-ecom stores.

Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/vistoya/vistoya-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (6)

discover_brandsSemantic search over brand profiles. Find brands by style, origin, or aesthetic (e.g. "Italian streetwear brands", "minimalist Scandinavian labels").

Parameters not published.

discover_productsSemantic search across all indexed stores. Accepts a natural-language query plus optional filters (category, color, gender, price, etc.) and returns ranked products.

Parameters not published.

find_similar_brandsGiven a brand name or key, return similar brands using brand-profile vectors.

Parameters not published.

find_similar_productsGiven a product ID, return visually and semantically similar products.

Parameters not published.

get_filtersList available filter values (categories, colors, materials, brands, …) so the agent knows what's filterable.

Parameters not published.

get_productFetch full details for a single product by ID.

Parameters not published.

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Security checks

  • ✓README presentThe repository ships documentation.

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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

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

Tool Description
discover_products Semantic search across all indexed stores. Accepts a natural-language query plus optional filters (category, color, gender, price, etc.) and returns ranked products.
find_similar_products Given a product ID, return visually and semantically similar products.
discover_brands Semantic search over brand profiles. Find brands by style, origin, or aesthetic (e.g. "Italian streetwear brands", "minimalist Scandinavian labels").
find_similar_brands Given a brand name or key, return similar brands using brand-profile vectors.
get_product Fetch full details for a single product by ID.
render_product_list ChatGPT Apps SDK only. Same inputs as discover_products, but ChatGPT renders the result as a visual product grid via an embedded widget.
get_filters List 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):

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

Cursor

Add to ~/.cursor/mcp.json:

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

VS Code (MCP extension)

Add to your mcp.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:

{
  "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.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About io.github.vistoya/market

How do I install io.github.vistoya/market?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is io.github.vistoya/market safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is io.github.vistoya/market still maintained?

Yes — the last commit was 29 days ago. The repository has 0 stars and 0 forks.