@shuji-bonji
基本信息
xCOMET MCP Server provides AI agents with the ability to evaluate machine translation quality. It integrates with the xCOMET model from Unbabel to provide:
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"xcomet": {
"command": "npx",
"args": [
"-y",
"xcomet-mcp-server"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
xCOMET MCP Server is a translation quality evaluation server powered by the xCOMET model from Unbabel. It provides AI agents with quality scoring, error detection, and batch processing capabilities for machine translation.
Install the server via npm and configure it in your MCP host (e.g., Claude Desktop) using the command npx -y xcomet-mcp-server. Use the provided tools (xcomet_evaluate, xcomet_detect_errors, xcomet_batch_evaluate) to evaluate translation quality. Optionally set environment variables for model selection, transport mode (stdio or http), and GPU acceleration.
Three models are supported: `Unbabel/XCOMET-XL` (3.5B parameters, ~14GB size, ~8–10GB RAM), `Unbabel/XCOMET-XXL` (10.7B parameters, ~42GB size, ~20GB RAM), and `Unbabel/wmt22-comet-da` (580M parameters, ~2GB size, ~3GB RAM). The latter requires a reference translation.
The server keeps the xCOMET model loaded in memory using an internal Python FastAPI server. The first request loads the model (25–90 seconds), subsequent requests run in ~500ms. Optionally, set `XCOMET_PRELOAD=true` to load the model at startup.
The server supports `stdio` (default) and `http` transport modes. Set the `TRANSPORT` environment variable to `http` and optionally configure `PORT` (default 3000) for remote access.
Set the `XCOMET_PYTHON_PATH` environment variable to an explicit Python path. Otherwise, the server auto-detects Python from pyenv, Homebrew, or the system path.
| Score Range | Quality | Recommendation | |-------------|------------|----------------------------| | 0.9 – 1.0 | Excellent | Ready for use | | 0.7 – 0.9 | Good | Minor review recommended | | 0.5 – 0.7 | Fair | Post-editing needed | | 0.0 – 0.5 | Poor | Re-translation recommended |
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