Vistoya

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	Given a product ID, return visually and semantically similar products.
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.
list_stores	List all indexed stores with their metadata.

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.