PDF Processor
Extracts text content and mathematical equations from PDF documents using PyMuPDF for text processing and pix2tex for LaTeX OCR, enabling analysis of academic papers and technical documents with specialized equation recognition.
About
This MCP server provides PDF processing capabilities with advanced LaTeX equation extraction, enabling AI assistants to fetch PDFs from URLs, extract text content, and recognize mathematical equations from academic papers and technical documents. Built by Michael Levinson using Python with PyMuPDF for text extraction and pix2tex for LaTeX OCR, it offers optimized performance on Apple Silicon with fallbacks for other hardware, three-step workflow (fetch, process, read) to manage memory efficiently, and both standalone MCP server and FastAPI implementations for different integration needs. The implementation includes comprehensive error handling, configurable output directories, and specialized support for academic paper processing, making it valuable for researchers analyzing mathematical papers, students working with technical documents, and any workflow requiring extraction of both text and mathematical content from PDF sources.
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