About Blumee — flower delivery comparison (Germany)
Compare flower delivery in Germany: find bouquets by text or photo, order at partner florists
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.blumee.app/mcpclaude mcp add --transport http app-blumee-flowers https://api.blumee.app/mcp{"mcpServers":{"app-blumee-flowers":{"type":"http","url":"https://api.blumee.app/mcp"}}}Open in Cursor{"servers":{"app-blumee-flowers":{"type":"http","url":"https://api.blumee.app/mcp"}}}Open in VS Code{"mcpServers":{"app-blumee-flowers":{"type":"http","url":"https://api.blumee.app/mcp"}}}{"mcpServers":{"app-blumee-flowers":{"serverUrl":"https://api.blumee.app/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 | integer | No | How many offers to return (default 8, max 20). |
| query | string | Yes | What the user is looking for, in their own words, any language (e.g. 'pink peonies for my mum's birthday'). Required. |
| style | string | No | Style, e.g. rustic, minimalist, romantic, wild meadow. |
| colors | array | No | Colours, any language. |
| flowers | array | No | Flower or plant types, any language (e.g. ["roses", "eucalyptus"]). |
| occasion | string | No | Occasion, e.g. birthday, thank you, wedding, anniversary. |
| recipient | string | No | Who the flowers are for, e.g. mother, colleague, partner. |
| max_price_eur | number | No | Upper price limit in EUR, inclusive. Hard filter. |
| min_price_eur | number | No | Lower price limit in EUR. Hard filter. |
| max_delivery_days | integer | No | Latest acceptable delivery, in days from today, for an address in Germany (1 = tomorrow). If the user names a date, convert it to days. Hard filter on the shop-stated delivery time. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
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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.