Implements comprehensive Docker support to eliminate Python version and dependency concerns. Users can now run the MCP server in a container with automatic path translation between host and container filesystems. Key features: - Dockerfile with multi-architecture support (amd64/arm64) - Automatic path translation using WORKSPACE_ROOT environment variable - Setup scripts for all platforms (Bash, CMD, PowerShell) - GitHub Actions workflow for automated Docker Hub publishing - Secure non-root container execution - Read-only volume mounts by default The setup process is now simplified to: 1. Run setup-docker-env script to generate .env and Claude config 2. Build the Docker image 3. Copy generated config to Claude Desktop No Python installation or virtual environment management required. Fixes #3 Co-Authored-By: Claude <noreply@anthropic.com>
29 lines
803 B
Docker
29 lines
803 B
Docker
# Use Python 3.11 slim image for smaller size and consistent environment
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FROM python:3.11-slim
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# Set working directory inside the container
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WORKDIR /app
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# Install git (required for some Python packages that may need it)
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RUN apt-get update && apt-get install -y --no-install-recommends \
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git \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements first to leverage Docker layer caching
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COPY requirements.txt .
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy the rest of the application
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COPY . .
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# Create a non-root user to run the application (security best practice)
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RUN useradd -m -u 1000 mcpuser && \
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chown -R mcpuser:mcpuser /app
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# Switch to non-root user
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USER mcpuser
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# Set the entrypoint to run the server
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ENTRYPOINT ["python", "server.py"] |