mcp-translator

# MCP Translator Server This project provides an MCP (Model Context Protocol) server designed to facilitate the translation of long-form text documents. ## Features * Accepts paths to multiple text files for concurrent translation jobs. * Splits each text file into manageable chunks. * Stores chunks and their translation status in a SQLite database (`translation_progress.db`), keeping track of which file each chunk belongs to. * Provides tools to: * Initialize or restart the translation process for a specific file (`start_translation file_path=...`). Clears previous progress for that file if it existed. * List all ongoing translation jobs and their progress (`list_jobs`). * Fetch the next untranslated chunk for a specific file (`get_next_chunk file_path=...`). * Submit the translation for a specific chunk ID (`submit_translation chunk_id=... translated_text=...`). ## Setup 1. Install dependencies: ```bash pip install . # Or pip install -e . for development mode ``` 2. Download the spaCy model: ```bash python -m spacy download xx_sent_ud_sm ``` ## Running the Server ```bash mcp-translator ``` This will start the MCP server, listening for client connections. The database file (`translation_progress.db`) will be created in the same directory as `server.py`. ## Usage Connect an MCP client (like a compatible AI assistant or script) to the running server. The client can then use the available tools, making sure to specify the `file_path` where required (`start_translation`, `get_next_chunk`), to manage the translation workflow for different files.