diff --git a/README.md b/README.md index 04e7382bc..24aad4ca8 100644 --- a/README.md +++ b/README.md @@ -3312,6 +3312,7 @@ Translation tools and services to enable AI assistants to translate content betw - [KyaniteLabs/DialectOS](https://github.com/KyaniteLabs/DialectOS) [![KyaniteLabs/DialectOS MCP server](https://glama.ai/mcp/servers/KyaniteLabs/DialectOS/badges/score.svg)](https://glama.ai/mcp/servers/KyaniteLabs/DialectOS) 📇 🏠 - Spanish dialect localization server and CLI. Translates and QA-checks across 25 regional variants with register control, structure preservation, and adversarial quality gates. - [mmntm/weblate-mcp](https://github.com/mmntm/weblate-mcp) 📇 ☁️ - Comprehensive Model Context Protocol server for Weblate translation management, enabling AI assistants to perform translation tasks, project management, and content discovery with smart format transformations. +- [RaiGanja/kaeris-cli](https://github.com/RaiGanja/kaeris-cli) 🐍 ☁️ - AI localization: translate an app's string files into 46 languages (JSON, .arb, .po, .strings, Android XML, …) with placeholder-safe, reproducible output — from Claude/Cursor. - [shuji-bonji/xcomet-mcp-server](https://github.com/shuji-bonji/xcomet-mcp-server) 📇 🏠 - Translation quality evaluation using xCOMET models. Provides quality scoring (0-1), error detection with severity levels (minor/major/critical), and optimized batch processing with 25x speedup. - [translated/lara-mcp](https://github.com/translated/lara-mcp) 🎖️ 📇 ☁️ - MCP Server for Lara Translate API, enabling powerful translation capabilities with support for language detection and context-aware translations. - [waxberry-dev/live-translate-mcp](https://github.com/waxberry-dev/live-translate-mcp) [![waxberry-dev/live-translate-mcp MCP server](https://glama.ai/mcp/servers/waxberry-dev/live-translate-mcp/badges/score.svg)](https://glama.ai/mcp/servers/waxberry-dev/live-translate-mcp) 📇 🏠 🍎 🐧 - Real-time English ↔ Mandarin Chinese speech translation. Transcribes audio locally with Whisper, translates via Claude API, and synthesises speech locally with Piper TTS. Pass a WAV file path and Claude handles the rest.