Server data from the Official MCP Registry
Search and get fashion products recommendations across multiple e-ecom stores
About
Search and get fashion products recommendations across multiple e-ecom stores
Remote endpoints: streamable-http: https://api.vistoya.com/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-vistoya-market": {
"url": "https://api.vistoya.com/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub 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. |
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.
Reviews
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