What is the required runtime environment?
You need Python 3.13, the `uv` package manager, and the `mcp[cli]` dependency.
@Deep-Intelligent-Pharma
基本信息
MCP Server for Translationx
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"Translationx-mcp-server": {
"command": "uv",
"args": [
"run",
"mcp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Translationx Mcp Server is a Model Context Protocol (MCP) server that enables AI‑assisted translation of files and documents. It uses a token‑based authentication from X‑DOC and is designed to integrate directly with IDEs such as Cursor. It is built with Python and the mcp SDK, and requires Python 3.13.
Download the server from its official GitHub repository, then set up a Python virtual environment using uv and add the mcp dependency. Configure the server in your IDE (e.g., Cursor) by adding a JSON block that points to the main.py script and provides your TRANSLATIONX_TOKEN. Start the server and use it to translate files placed in a project folder.
uv package manager.TRANSLATIONX_TOKEN).You need Python 3.13, the `uv` package manager, and the `mcp[cli]` dependency.
The token is called `TRANSLATIONX_TOKEN` and can be obtained from the X‑DOC website at https://x-doc.ai/.
The MCP server communicates over standard input/output (stdio) when launched as a command. It does not mention HTTP, SSE, or other transports.
The server runs locally on your machine as a Python process. Data is translated on your own system; the token is used to authenticate with X‑DOC.
The README does not mention specific limits. The server currently supports only the Cursor IDE setup; compatibility with other MCP clients is not documented.

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