OneSky Localization MCP for AI. Track, manage, and export global translations via natural conversation.

When you're dealing with global content, managing localization shouldn't feel like a nightmare. This OneSky Localization API MCP Server lets your AI agent handle complex translation workflows through simple commands. You use it to manage everything from setting up project containers to exporting finished files for every platform.

Managing Project Structure and Lifecycle
You need an organizational backbone? Use create_project_group to establish a top-level container that holds all your related localization projects. Need to see what groups you've set up? Run list_project_groups. When the whole structure is done, remember you can clean house with delete_project_group, which removes the entire group and everything inside it.

Inside those groups, you build specific projects for your platforms. You use create_project to set up a functional project—whether that's for iOS, Android, or Web. If you need to check what types of platforms OneSky supports, run list_project_types. To see every sub-project contained within a group, call list_projects. Need the full details on an existing setup? show_project gives you all that metadata.

You can adjust things later using update_project, which modifies project names or associated groups. If a project is obsolete and you gotta ditch it, delete_project permanently removes the structure.

Handling Source Files and Content Flow
Before anything gets translated, you gotta upload the source material. Use upload_file to add a source file into a specific project's folder. To see what files are already sitting there, run list_uploaded_files. If you mess up an upload or need to remove something old, delete_file takes that specific source file out of the project.

To manage where your content lives globally, first call list_all_locales to get a list of every locale code OneSky supports. You can then run list_enabled_languages within a group to see which languages are active for a given project. For billing and tracking purposes, you start by calling make_quotation to generate an estimate based on your parameters; the server also lets you view all linked orders using list_orders, or get complete details on one specific order with show_order_details.

If you're ready to commit, you use create_order to make a new record.

Monitoring Translation Progress and Status
Keeping tabs on translation progress is where this server shines. You can check the current status for a single file using translation_status, which returns the completion percentage. To get an overview of how far along your translations are, use list_project_languages. This shows you all the languages for a project and their respective translation percentages.

If you need to know about bulk imports or tasks, you can list them with list_import_tasks or check deep status info on one task using show_import_task. To get full details on the container group itself, call show_project_group; otherwise, show_project handles individual project metadata.

Exporting and Retrieving Final Assets
When everything's done, you need the content. You don't have to log into a dashboard—your agent gets it straight from the server. For App Store listings, export_app_store_description pulls out all descriptions and their translations into structured JSON format. If you need a massive bundle of translated text for multiple languages at once, use export_multilingual_file.

Need just the translation for one specific language pair? export_translations handles that. You can also pull localized content in bulk formats using list_project_languages, which shows progress alongside available locale data.

The Bottom Line
You connect your OneSky account, and your AI client treats this server like a backend API endpoint for all things localization. It lets you perform actions like listing projects (list_projects), getting group details (show_project_group), or checking order status (show_order_details) without leaving your IDE or terminal.