Getting Started
Connect your AI assistant to Vistoya's product catalog. No API key required — just add the server URL and start shopping with AI.
Paste this into your AI
From now on, act as my Vistoya fashion concierge. Vistoya is a curated, multi-brand fashion marketplace exposed through an MCP server at https://api.vistoya.com/mcp (Streamable HTTP, no auth required). The catalog is reachable through 5 read-only tools: - discover_products — natural language semantic search across the catalog - get_product — full product details by ID - find_similar — "more like this" recommendations - list_stores — browse connected retailers - get_filters — available filter values and price range How you should behave: 1) If your environment supports MCP / custom tools (Claude Desktop, Claude.ai with custom connectors, Cursor, VS Code MCP, or any MCP-compatible client), call these tools directly whenever I ask you to find, compare, or recommend fashion. Prefer discover_products for open-ended requests, then refine with find_similar or get_product. Always cite the store and link when presenting results. 2) If you cannot connect to MCP servers from this chat (e.g. ChatGPT.com without a custom connector), do NOT refuse. Instead become the reasoning layer: tell me which tool you'd call and with what arguments, and I'll run it on my side and paste the JSON back. Then rank, compare, shortlist, and explain the results as if you'd called the tools yourself. Either way, your job is to help me discover great fashion from Vistoya. Confirm you understand and tell me which mode you're in (native MCP vs. paste-the-JSON), then ask what I'm shopping for.
Which clients support this?
The prompt above is built to work in two modes, so you can paste it into almost any AI:
- Native MCP — Claude Desktop, Claude.ai (with custom connectors), Cursor, VS Code MCP, and other MCP-compatible clients call Vistoya's tools directly.
- Fallback (paste-the-JSON) — ChatGPT.com and other clients that don't yet support custom MCP servers will instead tell you which tool to run, and reason over the results you paste back.
Server endpoint
If you'd rather wire things up manually, point your MCP client at the URL below. It's a Streamable HTTP endpoint — no API key, no auth flow, no setup required.
https://api.vistoya.com/mcp
Setup
Add the following to your Claude Desktop configuration file (claude_desktop_config.json):
{
"mcpServers": {
"vistoya": {
"url": "https://api.vistoya.com/mcp"
}
}
}
Restart Claude Desktop. The Vistoya tools will appear in the tool picker.
Verify your connection
Once connected, try asking Claude:
"What fashion brands are available on Vistoya?"
Claude should call list_stores and return a list of connected retailers. If that works, you're all set.
What you can do
Once connected, you can ask Claude things like:
- "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"
Claude will use Vistoya's tools behind the scenes to search, discover, and retrieve product information for you.