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by mmntm • Analytics & Monitoring
An MCP server that lets AI agents interact with a Weblate translation instance to list projects, manage components, and read/write translations via Weblate's REST API.
List and inspect all projects and components in a Weblate instance to provide context-aware translation suggestions.
Search, read, and bulk-update translations (with approval support) using efficient Weblate filter queries.
Project/component/language statistics and recent-change histories to monitor localization progress and contributor activity.
This server implements the Model Context Protocol (MCP) to provide AI assistants with programmatic access to a Weblate instance. It exposes tools for project and component management, searching and updating translations (including bulk updates), language and statistics endpoints, and change/history tracking. Built with TypeScript and NestJS, it emphasizes type safety, error handling, and efficient Weblate-native filtering. It is intended to simplify localization workflows and enable natural-language driven translation operations.
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