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xCOMET MCP Server

Created at 2 days ago

by shuji-bonji

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xCOMET MCP Server provides AI agents with the ability to evaluate machine translation quality. It integrates with the xCOMET model from Unbabel to provide: Quality Scoring: Scores between 0-1 indicating translation quality Error Detection: Identifies error spans with severity levels (minor/major/critical) Batch Processing: Evaluate multiple translation pairs efficiently (optimized single model load) GPU Support: Optional GPU acceleration for faster inference

Categories

research-and-data

Tags

xcomet

machine-translation

quality-evaluation

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What is xCOMET MCP Server?

xCOMET MCP Server is a translation quality evaluation tool that leverages AI agents to assess the quality of machine translations using the xCOMET model from Unbabel.

How to use xCOMET MCP Server?

To use the xCOMET MCP Server, you can either run it locally or integrate it with Claude Desktop. Configuration involves setting up the server command and parameters in your application.

Key features of xCOMET MCP Server?

  • Quality Scoring: Provides scores between 0-1 indicating translation quality.
  • Error Detection: Identifies error spans with severity levels (minor, major, critical).
  • Batch Processing: Efficiently evaluates multiple translation pairs in one request.
  • GPU Support: Optional GPU acceleration for faster inference.

Use cases of xCOMET MCP Server?

  1. Evaluating the quality of translations in real-time applications.
  2. Detecting and categorizing translation errors for improvement.
  3. Batch processing of translation pairs for efficiency in large projects.

FAQ from xCOMET MCP Server?

  • Can xCOMET evaluate all types of translations?
    Yes, it can evaluate various translation pairs across different languages.

  • Is there a limit to the number of translation pairs evaluated at once?
    Yes, the batch evaluation can handle up to 500 pairs in a single request.

  • What are the system requirements for running xCOMET MCP Server?
    You need Node.js, Python with specific packages, and sufficient memory for the model.

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