Translationx-mcp-server

## TranslationX MCP Server (Python) ### Setting Up the Python Virtual Environment We recommend building a virtual environment with `uv` to run the MCP server. You can find some information about `uv` [here](https://docs.astral.sh/uv/getting-started/features/). Following the [official process](https://modelcontextprotocol.io/quickstart/server), you will install the `Python` package manager `uv`. Alternatively, you can try other methods (such as `Anaconda`) to create your `Python` virtual environment. Add the `mcp` dependency using `uv` ```bash uv add "mcp[cli]" ``` Verify that the `mcp` dependency is installed successfully by running the following command ```bash uv run mcp ``` When the following figure appears, it indicates that the installation is successful  Install `python` using `uv`, with a minimum version requirement of 3.13 ```bash uv python install 3.13 ``` ### Obtaining MCP Server Go to the TranslationX MCP Server official [open-source repository](https://github.com/Deep-Intelligent-Pharma/Translationx-mcp-server/) to download ### Configuring the Local Project Create a project using `uv` ```bash uv init mcp_server_translation ``` Copy the `src` folder to this directory and test if the `mcp` server is running normally using the following command ```bash uv run --with mcp[cli] mcp run {YOUR_PATH}/src/main.py # For mac, you need to add an escape character uv run --with mcp\[cli\] mcp run {YOUR_PATH}/src/main.py ``` If there are no errors, the MCP Server has started successfully ### Using in Cursor Open `Cursor` configuration and add MCP Server in MCP  Add the following content to the file and save it. The `TRANSLATIONX_TOKEN` can be obtained from [X-DOC](https://x-doc.ai/) ```json { "mcpServers": { "translationx": { "command": "uv", "args": [ "run", "--with", "mcp[cli]", "mcp", "run", "{YOUR_PATH}/src/main.py" ], "env": { "token": "<YOUR_TRANSLATIONX_TOKEN>" } } } } ``` Return to the configuration, and the TranslationX MCP Server is now enabled  ### Testing Create a project, create a folder, add a file to the folder, and submit the translation: