**Package Rebranding:**
- Renamed package from mcp-pdf-tools to mcp-pdf (cleaner name)
- Updated version to 1.0.0 (production ready with security hardening)
- Updated all import paths and references throughout codebase
**PyPI Preparation:**
- Enhanced package description and metadata
- Added proper project URLs and homepage
- Updated CLI command from mcp-pdf-tools to mcp-pdf
- Built distribution packages (wheel + source)
**Testing & Validation:**
- All 20 security tests pass with new package structure
- Local installation and import tests successful
- CLI command working correctly
- Package ready for PyPI publication
The secure, production-ready PDF processing platform is now ready
for public distribution and installation via pip.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Features:
- HTTPS URL support: Process PDFs directly from URLs with intelligent caching
- Smart caching: 1-hour cache to avoid repeated downloads
- Content validation: Verify downloads are actually PDF files
- Security: Proper User-Agent headers, HTTPS preferred over HTTP
- MCP parameter fixes: Handle pages parameter as string "[2,3]" format
- Backward compatibility: Still supports local file paths and list parameters
Technical changes:
- Added download_pdf_from_url() with caching and validation
- Updated validate_pdf_path() to handle URLs and local paths
- Added parse_pages_parameter() for flexible parameter parsing
- Updated all 8 tools to accept string pages parameters
- Enhanced error handling for network and validation issues
All tools now support:
- Local paths: "/path/to/file.pdf"
- HTTPS URLs: "https://example.com/document.pdf"
- Flexible pages: "[2,3]", "1,2,3", or [1,2,3]
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
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>
