Enables AI assistants to browse, search, and purchase limited-edition fashion from Kenya, with tools for product details, stock checks, styling advice, and cart link generation.
Enables natural-language shopping queries on a fashion inventory flat file, with tools for searching products and recommending matching items via OpenAI.
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.
Gives AI assistants a read-only tool to match a user's task or buyer need to verified Lumi Studio iOS apps across 29 apps and all 50 Apple locales, returning localized context, purchase model, guide, and direct App Store links. Supports interactive localized cards via the MCP Apps extension and includes a bundled offline snapshot without analytics.
Provides structured commerce data for AI agents, enabling real-time product searches and brand discovery across 22,000+ DTC brands without scraping or hallucination.