A
licenseB
qualityD
maintenanceEnables AI applications to translate text through the Lara Translate API, with automatic language detection, context-aware translations, and custom instructions.
1
1,539 npm
MIT
Levelang MCP Server
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- AlicenseNot gradedqualityAmaintenanceEnables AI agents to translate text, lists, and local documents through a LibreTranslate instance, detect languages, list supported languages, check service status, and submit translation suggestions over stdio or Streamable HTTP. It also exposes the raw LibreTranslate API through resource, describe, and call tools for broader operations.6 npmMIT
TDQS
A4.4/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: list_languages provides configuration discovery, translate performs single-level translation, and translate_compare enables multi-level comparison. There is no overlap in functionality, and an agent can easily distinguish between them based on their specific objectives.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern: list_languages, translate, and translate_compare. The naming is predictable and readable, with no deviations or mixed conventions, making it easy for agents to understand the tool set's structure.
Tool Count4/5
With 3 tools, the count is reasonable for a language translation server, covering core operations like discovery, translation, and comparison. However, it feels slightly thin, as additional tools for managing translations or handling errors could enhance completeness, but the current set is well-scoped for basic functionality.
Completeness4/5
The tool set covers essential workflows: discovering supported languages, translating text at specific levels, and comparing translations across levels. Minor gaps exist, such as no tools for updating or deleting translations, but these are not critical for the server's purpose, and agents can work effectively with the provided operations.
Maintenance
ActivityMaintained
ResponsivenessNo issues