Vistoya
Google for agentic fashion shopping/discovery. Indexed fashion brand e-coms. Semantic search.
Vistoya MCP
The Vistoya MCP server gives AI agents direct access to a curated, multi-brand fashion catalog. Agents can search by structured filters, discover products through natural language, find similar items, and retrieve full product details — all over a single Streamable HTTP connection.
What is MCP?
The Model Context Protocol is an open standard that lets AI applications connect to external data sources and tools. Instead of building custom integrations for every AI platform, you expose a single MCP server and any compatible agent can use it.
Vistoya's MCP server exposes 5 read-only tools that cover the full product discovery workflow:
| Tool | Purpose |
|---|---|
| discover_products | Natural language semantic search with AI embeddings |
| get_product | Full product details by ID |
| find_similar | "More like this" recommendations |
| list_stores | Browse connected stores |
| get_filters | Available filter values and catalog stats |
Endpoint
POST https://api.vistoya.com/mcp
The server uses Streamable HTTP transport — the current MCP standard for remote servers. No WebSocket upgrade required.
Key features
- Semantic search — agents can query with natural descriptions like "breathable linen dress for a beach wedding under $200"
- Rich taxonomy — every product is AI-classified with category, subcategory, colors, materials, gender, occasion, season, style, fit, and silhouette
- Stateful sessions — the server maintains sessions via the
mcp-session-idheader with a 30-minute idle timeout
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