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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.

Related MCP server: mrc-data

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.

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.

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