A
licenseA
qualityD
maintenanceProvides text translation capabilities powered by NiuTrans API with support for 455+ languages. Includes translation tools and language catalog resources for seamless integration with MCP clients.
1
8
MIT
MCP Translation Text
by tianfn
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Translation Text translate 'Hello, how are you?' from English to Spanish"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP 翻译服务
该项目已迁移至 https://github.com/NiuTrans/MCP-TextTranslation
Available Tools
1 tooltranslate_textA
使用小牛翻译 API 将文本从 source 语种翻译到 target 语种。
支持 450+ 种语言代码，并可自动处理常见别名。返回结构包含译文和 API 原始响应。
Args:
text (str): 待翻译的原文文本，可以是任意长度的字符串。
source (str): 源语言代码或常见别名（例如 "zh"、"中文"、"chinese"）。
target (str): 目标语言代码或常见别名（例如 "en"、"英文"、"english"）。
Returns:
Dict[str, Any]: 包含以下字段的字典：
- source: 标准化后的源语言代码
- target: 标准化后的目标语言代码
- original_text: 原文
- translated_text: 译文
- raw: 小牛翻译 API 的原始响应数据
Inputs: text (required), source (required), target (required). Returns: result
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
A3.9/5.0
Scored across 1 tool
Disambiguation5/5
With only one tool, there is no possibility of confusion or overlap between tools. The single translate_text tool has a clearly defined purpose that is distinct by default.
Naming Consistency5/5
The single tool name follows a clear verb_noun pattern (translate_text). With only one tool, consistency is inherently perfect as there are no other tools to compare against.
Tool Count2/5
A single tool for a translation server feels thin and limited. While translation is a focused task, a more complete surface might include tools for language detection, batch translation, or translation history. The scope appears underdeveloped with just one tool.
Completeness2/5
The server covers basic text translation but has significant gaps. There's no tool for language detection, batch operations, or managing translations (e.g., getting supported languages, translation memory). This limits agent workflows and creates dead ends for more complex translation tasks.
Maintenance
ActivityInactive
ResponsivenessNo recent community issues
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