FindMine Shopping Stylist

FindMine’s MCP server bridges the gap between a powerful styling API and modern AI assistants, enabling developers to inject fashion intelligence directly into conversational agents. By exposing product details, outfit recommendations, and style guidance through the Model Context Protocol, it lets Claude or any MCP‑compatible model answer nuanced fashion queries without custom integration code.

The server solves the common problem of fragmented styling data. Designers, e‑commerce sites, and fashion apps often rely on separate services for product catalogs, visual similarity search, and styling rules. FindMine’s MCP consolidates these capabilities into a single, discoverable endpoint: developers can request “look:///” resources for curated outfits or invoke tools like to surface alternative items. This unified interface removes the need for bespoke API wrappers and lets AI assistants ask for styling advice in natural language while the server translates those requests into precise API calls.

Key features include:

• Rich resources – URIs provide full product metadata, and URIs deliver complete outfit assemblies.
• Convenient tools – Dedicated tool functions (, , ) expose core styling logic in a single call.
• Customizable prompts – Pre‑defined prompts such as and give agents ready‑made templates for fashion conversations.
• Cache control – Environment variables allow developers to enable caching and tune TTL, improving latency for high‑traffic styling queries.
• Developer ergonomics – The MCP Inspector web UI offers instant testing, while the server auto‑configures Claude Desktop on install.

Real‑world use cases span e‑commerce personalization (suggesting complementary items when a customer views a product), virtual styling assistants in fashion retail, and brand‑specific style guides that adapt to seasonal trends. By integrating with AI workflows, the server lets developers focus on conversational logic while delegating domain expertise to FindMine’s proven styling engine. The standout advantage is its plug‑and‑play nature: once the MCP server is running, any Claude or MCP client can leverage advanced fashion intelligence without additional code.