@shuji-bonji
Basic information
xCOMET MCP Server provides AI agents with the ability to evaluate machine translation quality. It integrates with the xCOMET model from Unbabel to provide:
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"xcomet": {
"command": "npx",
"args": [
"-y",
"xcomet-mcp-server"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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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