这个服务器与普通翻译API有什么区别?
它采用三阶段专业翻译流程(分析、分段、审校),自动识别领域术语,并提供质量评估,适用于对精度要求高的专业文档。
@wizd
Basic information
强大的MCP翻译服务器!#AiryLarkMCP 🌐 专为专业翻译人员设计: • 三阶段翻译流程:分析规划、精准翻译、全文审校 • 自动识别专业领域术语 • 提供全面翻译质量评估 • 支持多语种互译 • 保持原文风格与专业性 💯 无缝集成Claude/Cursor等支持MCP的AI助手,让AI翻译达到专业水准!
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"airylark-translation": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"TRANSLATION_API_KEY",
"-e",
"TRANSLATION_MODEL",
"-e",
"TRANSLATION_BASE_URL",
"wizdy/airylark-mcp-server"
],
"env": {
"TRANSLATION_API_KEY": "<YOUR_API_KEY>",
"TRANSLATION_MODEL": "<YOUR_MODEL>",
"TRANSLATION_BASE_URL": "<YOUR_API_URL>"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
AiryLark MCP 专业翻译服务器是AiryLark项目的一个Model Context Protocol (MCP) 服务器模块,提供专业级高精度翻译服务接口。它允许Claude等AI模型通过MCP标准协议调用专业翻译能力。
安装Node.js (v18+) 和 npm,安装依赖 (npm install),配置环境变量(TRANSLATION_API_KEY等),然后通过npm run dev启动开发服务器或npm run build和npm start启动生产服务器。也可通过Docker部署。AI助手可通过MCP客户端配置连接,调用translate_text和evaluate_translation工具。
它采用三阶段专业翻译流程(分析、分段、审校),自动识别领域术语,并提供质量评估,适用于对精度要求高的专业文档。
需要Node.js v18+和npm,以及第三方翻译API的密钥(TRANSLATION_API_KEY)、模型和基础URL。
数据通过配置的翻译API发送,服务器本身不存储数据。所有配置在.env文件或环境变量中。
使用HTTP SSE传输(端口3031),认证通过配置的TRANSLATION_API_KEY等环境变量实现。
`translate_text`工具接受`text`(源文本)、`target_language`(目标语言代码)、可选`source_language`和`high_quality`(默认为true)。

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