Sephora MCP Server
Related Servers
Alternatives to Sephora MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceEnables AI agents to search for products, manage shopping carts, and place grocery orders on Instacart using browser automation. It includes comprehensive tools for store discovery, product searching, and secure checkout with explicit user confirmation.1135 npm10MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to search products, manage cart, place orders, and track shipments on Amazon via browser automation.13 npm1MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with your personal Amazon cart through browser automation, allowing search, add to cart, and view cart functionalities.4 npm22MIT
- AlicenseBqualityFmaintenanceEnables AI agents to search products, manage cart, and track orders on Walmart.com via browser automation.1232 npm3MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to search products, manage shopping carts, place orders, and retrieve order history from Amazon and Target accounts.2MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI assistants to search beauty products from Korean catalogs (Olive Young, Daiso, e-commerce) and analyze personal skincare routines and ingredient compositions via BeauticsLab.-
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose with no overlap: search_products finds items, get_product provides details, add_to_basket adds items, view_basket shows contents, checkout completes purchase, and get_rewards handles loyalty program. The descriptions explicitly guide usage flow, eliminating any ambiguity.
All tools follow a consistent 'sephora_verb_noun' pattern with snake_case throughout. The verbs (add_to, checkout, get, search, view) are descriptive and uniformly applied, making the set predictable and easy to navigate.
Six tools are well-scoped for an e-commerce server, covering the core shopping workflow from discovery to purchase and account management. Each tool earns its place without redundancy, and the count is manageable for agents to understand and use effectively.
The toolset provides complete coverage for Sephora's shopping domain: product discovery (search_products), detail retrieval (get_product), basket management (add_to_basket, view_basket), checkout (checkout), and account features (get_rewards). No obvious gaps exist, supporting end-to-end agent workflows.