The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Market listing page.
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.
io.github.vistoya/markethttps://api.vistoya.com/mcpAutomatically detects and configures Claude Desktop, Claude Code, Cursor, Windsurf, and VS Code. Restart your AI client after running.
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.
| 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. |
Add to claude_desktop_config.json (or your Claude Code MCP config):
Add to ~/.cursor/mcp.json:
Add to your mcp.json:
Use mcp-remote as a bridge:
Once connected, try:
This server is published on the official MCP Registry. You can find it at:
Public preview. The endpoint is publicly reachable and does not currently require authentication.
MIT — see LICENSE.
Issues and feature requests: open an issue on this repo.