Bonizu
Helps to find and compare products with real reasons why something's a good match, not just a list of results. Current focus: beauty & supplements.
Documentation
Bonizu MCP Server
Bonizu is a semantic product intelligence platform for beauty and supplements in the Benelux. It enriches catalog data with structured fields (use_cases, limitations, match_reason, target_audience, highlights) and exposes that data through a remote MCP server. AI agents can use it to make grounded product recommendations instead of relying on raw catalog dumps or general knowledge.
Connection details
| Endpoint | https://bonizu.com/api/mcp |
| Transport | Streamable HTTP |
| Auth | None — the server is publicly accessible |
Available tools
- search_bonizu_catalog — Search the catalog with a natural-language query. Returns semantically ranked products.
- compare_bonizu_products — Compare specific products side by side.
- get_product — Fetch full details for a single product by ID.
- list_categories — List canonical product categories currently in the catalog.
Coverage
Netherlands / Benelux. Six categories: Skincare, Bodycare, Haarverzorging, Supplementen, Vitaminen & mineralen, Wellness. Thousands of products via Awin partners (including Holland & Barrett) and Amazon.
About this repository
This is a documentation and metadata repo for the remote MCP server. The server runs at bonizu.com; this repository does not contain application code. It holds server.json and this README so MCP directories (Glama, mcp.so, awesome-mcp-servers) have a public reference for com.bonizu/mcp.