Skip to main content
Glama
shuji-bonji

xcomet-mcp-server

by shuji-bonji
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript

Related Servers

Alternatives to xcomet-mcp-server

No user-submitted related servers found.

    Related Servers

    • agente-traduccion-mcp

      cesarreynab
      F
      license
      Not graded
      quality
      C
      maintenance
      MCP server for translation and localization workflows. It exposes tools for glossary lookup, translation memory reuse, segment alignment, and demo multicloud translation.
      -
    • Equalang Translation by equalang

      Equalang Translationofficial

      equalang
      A
      license
      A
      quality
      B
      maintenance
      Translate PDF, Word (DOCX), Excel (XLSX) and PowerPoint (PPTX) files, images, subtitles and text. Turn audio and video into transcripts or translated subtitles. Preserve layout where supported. Requires an Equalang API key and credits.
      8
      61 npm
      3
      Apache 2.0

    • DeepL MCP Server

      1-ARIjitS
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables translation and text rephrasing using DeepL's API through a cloud-deployed MCP server. Provides translation between multiple languages, text rephrasing, and language detection capabilities with professional deployment features.
      MIT

    • xliff-processor

      langlink-localization
      A
      license
      C
      quality
      C
      maintenance
      An MCP server for processing XLIFF and TMX translation files, enabling parsing, validation, and manipulation of translation units in localization workflows.
      9
      2
      MIT
    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A4.5/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: batch evaluation, error detection, and single pair evaluation. There is no overlap; an agent can easily select the appropriate tool based on whether it needs aggregate stats, detailed error spans, or a single quality score.

    Naming Consistency5/5

    All tool names follow the consistent pattern 'xcomet_<verb>' in snake_case, making it easy to predict tool functionality from the name. No mixing of conventions or irregular naming.

    Tool Count4/5

    With 3 tools, the server is on the lower end of typical scope but still covers the core evaluation workflow. It is not unreasonably sparse; adding a few more tools (e.g., model info, comparison) would improve completeness.

    Completeness4/5

    The tools cover single evaluation, batch evaluation, and detailed error detection, which together address the primary use cases for translation quality assessment. Minor gaps exist, such as no tool for listing models or configuring settings, but the core functionality is present.

    Maintenance

    ActivitySlowing
    ResponsivenessResponsive

    Resources