Skip to main content
Glama
README.md2.24 kB
# DeepL Simple Python We made this very simple version of the DeepL MCP Server to show how this can be done, in a real-world use case. Like, although this is stripped down, you can totally use it in production. ## Prerequisites - You don't need to use [uv](https://docs.astral.sh/uv/) to install and manage your dependencies, but here we do. - You'll also need a DeepL API key, which you can get [here](https://www.deepl.com/pro-api). ## Setup using uv ### Installing uv If you don't have uv installed: ```bash # macOS/Linux curl -LsSf https://astral.sh/uv/install.sh | sh # Windows powershell -c "irm https://astral.sh/uv/install.ps1 | iex" # Or with pip pip install uv ``` ### 1. Get to the right folder ```bash cd workshops/deepl-simple-python ``` ### 2. Create your virtual environment ```bash # Create a new virtual environment uv venv # Activate the virtual environment # On macOS/Linux: source .venv/bin/activate # On Windows: .venv\Scripts\activate ``` ### 3. Install dependencies ```bash # Install all required packages uv sync ``` Or install packages individually: ```bash uv add fastmcp uv add deepl uv add fastmcp ``` ### 4. Set Up Environment Variables Create a `.env` file or set your DeepL API key: ```bash # Option 1: Export environment variable export DEEPL_API_KEY="your-deepl-api-key-here" # Option 2: Create .env file echo "DEEPL_API_KEY=your-deepl-api-key-here" > .env ``` ## Usage ### Running the MCP Server ```bash # Run the DeepL MCP server python deepl-simple.py ``` ## Troubleshooting ### Common Issues 1. **Missing API Key** ``` Error: DEEPL_API_KEY environment variable not set ``` Solution: Set your DeepL API key as described in step 4 above. 2. **Python Version Error** ``` Error: Python >=3.0 required ``` Solution: Install Python 3.13 or use `uv python install 3.13`. 3. **Import Errors** ``` ModuleNotFoundError: No module named 'fastmcp' ``` Solution: Ensure virtual environment is activated and run `uv sync`. ### Getting Help - Review [DeepL API documentation](https://developers.deepl.com) - Check the [FastMCP documentation](https://github.com/jlowin/fastmcp) ## License This project follows the same license as the parent repository.

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/DeepLcom/deepl-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server