Bonizu
RemoteAbout Bonizu
Semantic product discovery for beauty & supplements (NL/Benelux) for AI agents
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://bonizu.com/api/mcpclaude mcp add --transport http com-bonizu https://bonizu.com/api/mcp{"mcpServers":{"com-bonizu":{"type":"http","url":"https://bonizu.com/api/mcp"}}}Open in Cursor{"servers":{"com-bonizu":{"type":"http","url":"https://bonizu.com/api/mcp"}}}Open in VS Code{"mcpServers":{"com-bonizu":{"type":"http","url":"https://bonizu.com/api/mcp"}}}{"mcpServers":{"com-bonizu":{"serverUrl":"https://bonizu.com/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
4| Parameter | Type | Required | Description |
|---|---|---|---|
| limit | number | No | Number of results to return, default 5 |
| query | string | Yes | Natural language search query, e.g. 'gentle cleanser for dry sensitive skin under 20 euro' or 'magnesium capsules for a daily evening routine under 25 euro'. For price constraints mentioned in natural language (e.g. 'under 15 euros', 'budget'), also set max_price explicitly rather than relying on the query text alone — this applies a hard filter and avoids semantic drift toward off-category budget-associated products. |
| category | string | No | Optional exact category filter using canonical English category slugs, e.g. 'skincare', 'hair-care', 'supplements'. This is the most reliable way to prevent off-category results — set it whenever the product type is known, rather than relying on the query text alone. Call list_categories first to see available values. |
| max_price | number | No | Optional maximum price in EUR |
| min_rating | number | No | Optional minimum rating (1-5) |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.