About Cerulean Jobs
Open jobs at luxury houses and brands worldwide: search them, read one in full, find roles like it
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://ceruleanjobs.com/api/mcpclaude mcp add --transport http com-ceruleanjobs-search https://ceruleanjobs.com/api/mcp{"mcpServers":{"com-ceruleanjobs-search":{"type":"http","url":"https://ceruleanjobs.com/api/mcp"}}}Open in Cursor{"servers":{"com-ceruleanjobs-search":{"type":"http","url":"https://ceruleanjobs.com/api/mcp"}}}Open in VS Code{"mcpServers":{"com-ceruleanjobs-search":{"type":"http","url":"https://ceruleanjobs.com/api/mcp"}}}{"mcpServers":{"com-ceruleanjobs-search":{"serverUrl":"https://ceruleanjobs.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
3| Parameter | Type | Required | Description |
|---|---|---|---|
| id | string | Yes | The listing's id, as every result carries it, or its URL on a Cerulean site. |
| locale | string | No | The user's language and region, as a BCP 47 tag: fr-CH for someone writing French in Geneva, say. It sets the language of titles and descriptions, and adds localizedUrl, the listing on that locale's Cerulean site, where the site carries it. It does not filter: country and location do. Cerulean's sites are en: ceruleanjobs.com, English, worldwide; fr-FR: cerulean.fr, French, France; fr-CH: ceruleanjobs.ch, French, Switzerland; de-CH: ceruleanjobs.ch, German, Switzerland; en-CA: ceruleanjobs.ca, English, Canada; fr-CA: ceruleanjobs.ca, French, Canada; de-DE: ceruleanjobs.de, German, Germany; en-GB: ceruleanjobs.co.uk, English, UK; es-ES: cerulean.es, Spanish, Spain; it-IT: ceruleanjobs.it, Italian, Italy. Any other tag takes its language's site, so fr-BE reads as fr-FR and en-US as en; another language reads as en. Defaults to en. |
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.