Translation quality evaluation MCP Server powered by xCOMET. Provides quality scoring (0-1), error detection with severity levels, and optimized batch processing for AI-assisted translation workflows.
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process.env. You'll be asked to provide them before it can run.MCP_BODY_LIMITPORT— TRANSPORT=http =3000 npm startTRANSPORT— http PORT=3000 npm startXCOMET_DEBUG— false Enable verbose debug logging (v0.3.1+)XCOMET_MODEL— Unbabel/XCOMET-XL xCOMET model to useXCOMET_PRELOAD— false Pre-load model at startup (v0.3.1+)XCOMET_PYTHON_PATH— Note: When using with Claude Desktop or other MCP hosts, set to point to the venv Python (see [Configuration](#-configuration)).[](https://m8ven.ai/mcp/shuji-bonji-xcomet-mcp-server-akmxoo)