MCP Workspace Server

# MCP Filesystem Server with Python & Node.js Runtime # # This unified container provides: # - MCP Filesystem Server # - Python 3.12 with data science libraries # - Node.js 20 with serve for frontend preview # # Build: docker build -t mcp-filesystem . # Run: docker run -p 18089:18089 -v ./user_data:/user_data mcp-filesystem FROM python:3.12-slim LABEL maintainer="MCP Filesystem Team" LABEL description="MCP Filesystem Server with Python 3.12 and Node.js 20" LABEL version="1.0.0" # ============================================ # Environment Variables # ============================================ ENV PYTHONUNBUFFERED=1 ENV PYTHONDONTWRITEBYTECODE=1 ENV PYTHONIOENCODING=utf-8 ENV LANG=C.UTF-8 ENV LC_ALL=C.UTF-8 # Node.js version ENV NODE_VERSION=20 # MCP Server default settings (can be overridden by docker-compose environment) # FASTMCP_* are the actual variables used by the server ENV FASTMCP_HOST=0.0.0.0 ENV FASTMCP_PORT=18089 ENV MCP_WORKSPACES_DIR=/user_data # Matplotlib backend for headless operation ENV MPLBACKEND=Agg # ============================================ # System Dependencies # ============================================ RUN apt-get update && apt-get install -y --no-install-recommends \ # Basic tools curl \ wget \ git \ unzip \ # Build tools (needed for some Python packages) build-essential \ # OCR support tesseract-ocr \ tesseract-ocr-chi-sim \ tesseract-ocr-chi-tra \ tesseract-ocr-eng \ # Image processing dependencies libgl1 \ libglib2.0-0 \ libsm6 \ libxext6 \ libxrender-dev \ libgomp1 \ # Fonts fonts-liberation \ fonts-noto-cjk \ # Process utilities procps \ # Clean up && apt-get clean \ && rm -rf /var/lib/apt/lists/* # ============================================ # Node.js 20 # ============================================ RUN curl -fsSL https://deb.nodesource.com/setup_${NODE_VERSION}.x | bash - \ && apt-get install -y nodejs \ && apt-get clean \ && rm -rf /var/lib/apt/lists/* # Verify Node.js installation RUN node --version && npm --version # ============================================ # Node.js Global Packages # ============================================ # Only install serve for frontend preview (keep it minimal) RUN npm install -g serve \ && npm cache clean --force # ============================================ # Python Dependencies # ============================================ WORKDIR /app # Copy requirements first for better caching COPY requirements.txt /app/ # Install Python dependencies RUN pip install --no-cache-dir -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple # Install Playwright Chromium (crawl4ai 依赖浏览器) RUN python -m playwright install --with-deps chromium # ============================================ # MCP Server Application # ============================================ # Copy application code COPY pyproject.toml README.md /app/ COPY mcp_filesystem/ /app/mcp_filesystem/ # Install the MCP server package RUN pip install --no-cache-dir -e . # Copy configuration (if exists) COPY config.example.json /app/config.json # ============================================ # User Data Directory # ============================================ RUN mkdir -p /user_data \ && chmod 755 /user_data # ============================================ # Security: Create non-root user for command execution # ============================================ RUN useradd -m -s /bin/bash -u 1000 sandbox \ && chown -R sandbox:sandbox /user_data # ============================================ # Health Check # ============================================ HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \ CMD curl -f http://localhost:${FASTMCP_PORT}/ || exit 1 # ============================================ # Expose Ports # ============================================ # MCP Server EXPOSE 18089 # Frontend Preview (range) EXPOSE 7000-7100 # ============================================ # Startup # ============================================ WORKDIR /app # Run as root to allow resource limit setting for child processes # Command execution uses the sandbox user when needed # Host/port configured via FASTMCP_HOST and FASTMCP_PORT environment variables CMD ["python", "-m", "mcp_filesystem"]