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Glama
tianfn

MCP Translation Text

by tianfn
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
NIUTRANS_API_KEYYesYour Niutrans API key from https://niutrans.com/cloud/account_info/info

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
translate_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

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
language_catalog提供小牛翻译支持的语种及别名列表。 返回内容包括所有语种的代码与中英文名称，以及可用的别名映射，可用于模型在翻译前完成语种推断。
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

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 issues

Resources