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Translationx MCP Server

@Deep-Intelligent-Pharma

Repository

Basic information

Category

Other

Transports

stdio

Author

Deep-Intelligent-Pharma

About Translationx MCP Server

MCP Server for Translationx

Translationx MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "Translationx-mcp-server": {
      "command": "uv",
      "args": [
        "run",
        "mcp"
      ]
    }
  }
}

Translationx MCP Server tools

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.

Overview

What is Translationx Mcp Server?

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.

How to use Translationx Mcp Server?

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.

Key features of Translationx Mcp Server

  • Runs on Python 3.13 with the uv package manager.
  • Token‑based authentication via X‑DOC (TRANSLATIONX_TOKEN).
  • Integrates with Cursor and other MCP‑compatible IDEs.
  • Translates documents by uploading files to a designated folder.
  • Open‑source repository available on GitHub.

Use cases of Translationx Mcp Server

  • Translating source‑code comments or documentation within a Cursor project.
  • Automating file‑by‑file translation as part of a development workflow.
  • Providing on‑demand translation of text or documents through an AI agent.

Frequently asked questions

1

What is the required runtime environment?

You need Python 3.13, the `uv` package manager, and the `mcp[cli]` dependency.

2

How do I obtain the authentication token?

The token is called `TRANSLATIONX_TOKEN` and can be obtained from the X‑DOC website at https://x-doc.ai/.

3

Which transport or protocol does this server use?

The MCP server communicates over standard input/output (stdio) when launched as a command. It does not mention HTTP, SSE, or other transports.

4

Where does the server run?

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.

5

Are there any known limitations?

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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