Translationx MCP Server

The TranslationX MCP Server is a Python - based model context protocol server that supports the translation services of TranslationX and can be integrated and used through Cursor.

Language translation Developer tools #Python Service #MCP Protocol #Translation Tool #Cursor Integration .Python

rating : 2.5 points

downloads : 14

update time : 2025-04-28

What is the TranslationX MCP Server?

The TranslationX MCP Server is a tool for handling multilingual translation tasks. It allows users to easily manage and distribute translation tasks, ensuring translation quality and efficiency.

How to use the TranslationX MCP Server?

Through a few simple steps of setup, you can quickly start the server and begin processing translation tasks. First, create a virtual environment, then install the necessary dependencies, and finally configure and run the server.

Applicable Scenarios

The TranslationX MCP Server is very suitable for enterprises, teams, and individual users who need cross - language collaboration, especially in the medical, legal, and technical fields.

Main Features

Virtual Environment ManagementEasily create and manage Python virtual environments through the uv tool.

Task Assignment and MonitoringMonitor the status of translation tasks in real - time to ensure tasks are completed on time.

Multi - platform CompatibilitySupports multiple operating systems and development environments to adapt to different users' habits.

Advantages and Limitations

Advantages

Efficient translation task management

Powerful API support for easy integration into existing systems

Intuitive user interface, easy to get started

Limitations

Performance may need to be optimized for high - load tasks

Some advanced features may require additional payment

How to Use

Set up a Python Virtual Environment

Create and activate a virtual environment through the uv tool.

Install MCP Dependencies

Use uv to add the necessary dependencies.

Configure the Local Project

Copy the source code to the project directory and test the run.

Usage Examples

Create a Project and Submit a TranslationConfigure the TranslationX server through Cursor and submit a translation task.

Test a Translation TaskCreate a folder in Cursor and submit a translation task.

Frequently Asked Questions

How to install the TranslationX MCP Server?

Which languages does the TranslationX server support?

How to get my TranslationX Token?

Related Resources

Official Repository of the TranslationX MCP Server

Visit the open - source repository on GitHub to get more information.

X - DOC

Get the TranslationX Token and more information.

🚀 TranslationX MCP Server (Python)

TranslationX MCP Server is a Python - based server that provides translation services. It can be easily integrated into various development environments.

🚀 Quick Start

📦 Installation

Set up a Python Virtual Environment

We recommend using the uv tool to build a virtual environment for running the MCP server. You can learn more about uv here.

According to the official guide, you need to install the Python package management tool uv. Additionally, you can also try other methods (such as Anaconda) to create a Python virtual environment.

Add the mcp dependency via uv:

uv add "mcp[cli]"

Verify the successful installation of the mcp dependency by executing the following command:

uv run mcp

If the following image appears, it indicates successful installation:

Install Python via uv with a minimum version requirement of 3.13:

uv python install 3.13

Obtain the MCP Server

Access the official open - source repository of TranslationX Mcp Server to download the code.

Configure the Local Project

Create a project via uv:

uv init mcp_server_translation

Copy the src folder to the project directory. Execute the following command to test whether the MCP server is running properly:

uv run --with mcp[cli] mcp run {YOUR_PATH}/src/main.py
# If you are using a macOS system, use the escape character:
uv run --with mcp\[cli\] mcp run {YOUR_PATH}/src/main.py

If there are no error messages, it means the MCP server has been successfully started.

💻 Usage Examples

Use in Cursor

Open the Cursor configuration and add TranslationX MCP Server in the MCP settings:

Add the following content to the configuration file and save it. You can obtain TRANSLATIONX_TOKEN from X - DOC:

{
  "mcpServers": {
    "translationx": {
      "command": "uv",
      "args": [
        "run",
        "--with", 
        "mcp[cli]",
        "mcp",
        "run",
        "{YOUR_PATH}/src/main.py"
      ],
      "env": {
        "token": "<YOUR_TRANSLATIONX_TOKEN>"
      }
    }
  }
}