Ryan Malloy
c902e81e4d
Features: - 8 comprehensive PDF processing tools with intelligent fallbacks - Text extraction (PyMuPDF, pdfplumber, pypdf with auto-selection) - Table extraction (Camelot → pdfplumber → Tabula fallback chain) - OCR processing with Tesseract and preprocessing options - Document analysis (structure, metadata, scanned detection) - Image extraction with filtering capabilities - PDF to markdown conversion with metadata - Built on FastMCP framework with full MCP protocol support - Comprehensive error handling and user-friendly messages - Docker support and cross-platform compatibility - Complete test suite and examples 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
54 lines
1.2 KiB
Docker
54 lines
1.2 KiB
Docker
# MCP PDF Tools Docker Image
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FROM python:3.11-slim
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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# PDF libraries
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poppler-utils \
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# OCR dependencies
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tesseract-ocr \
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tesseract-ocr-eng \
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tesseract-ocr-fra \
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tesseract-ocr-deu \
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tesseract-ocr-spa \
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# Image processing
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libmagic1 \
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# Java for Tabula
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default-jre-headless \
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# Build dependencies
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gcc \
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g++ \
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python3-dev \
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# Ghostscript for Camelot
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ghostscript \
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python3-tk \
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# Clean up
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&& rm -rf /var/lib/apt/lists/*
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# Set working directory
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WORKDIR /app
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# Copy project files
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COPY pyproject.toml README.md LICENSE MANIFEST.in ./
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COPY src/ ./src/
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COPY tests/ ./tests/
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COPY examples/ ./examples/
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# Install Python dependencies
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RUN pip install --no-cache-dir -e .
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# Create directory for PDF processing
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RUN mkdir -p /tmp/pdf_processing
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# Set environment variables
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ENV TESSDATA_PREFIX=/usr/share/tesseract-ocr/5/tessdata
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ENV PDF_TEMP_DIR=/tmp/pdf_processing
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ENV PYTHONUNBUFFERED=1
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# Expose the MCP server (stdio)
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ENTRYPOINT ["python", "-m", "mcp_pdf_tools.server"]
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD python examples/verify_installation.py || exit 1
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