xrpl-mcp-service

# Generated by https://smithery.ai. See: https://smithery.ai/docs/config#dockerfile # Use an official Python runtime as a parent image FROM python:3.9-slim # Set the working directory in the container WORKDIR /app # Copy the project descriptor files into the container COPY pyproject.toml /app/ COPY src /app/src # Install Poetry RUN pip install poetry # Install the Python dependencies specified in pyproject.toml RUN poetry config virtualenvs.create false \ && poetry install --no-dev --no-interaction --no-ansi # Make port 8000 available to the world outside this container EXPOSE 8000 # Define environment variable ENV XRPL_NODE_URL=https://xrplcluster.com # Run the application CMD ["uvicorn", "src.xrpl_mcp.server:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]