Vistoya Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Vistoya Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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/mcpnpx @vistoya/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):
{
"mcpServers": {
"vistoya": {
"url": "https://api.vistoya.com/mcp"
}
}
}Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"vistoya": {
"url": "https://api.vistoya.com/mcp"
}
}
}Add to your mcp.json:
{
"servers": {
"vistoya": {
"type": "http",
"url": "https://api.vistoya.com/mcp"
}
}
}Use mcp-remote as a bridge:
{
"mcpServers": {
"vistoya": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://api.vistoya.com/mcp"]
}
}
}Once connected, try:
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/marketPublic 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.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.