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Read and split large PDFs page by page with low memory usage.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "nano-pdf-mcp" yet — see the docs or source repo.
Use nano-pdf-mcp to split this 2,000-page PDF into separate files every 50 pages, keeping the original page ranges in the filenames.
A set of smaller PDF files named by page range, ready for sharing, archiving, or further processing.
Use nano-pdf-mcp to read this large PDF page by page and output the text from pages 101 to 120 for further analysis.
The page-by-page text for the specified range, suitable for summarization, search, or data cleaning.
Use nano-pdf-mcp to read all large PDFs in the upload folder, process them page by page, and save each page's text as structured output for downstream scripts.
Structured page-level outputs that can be consumed by programs in a document-processing pipeline.
A fast MCP tool for reading, parsing, and processing PDF documents.
Generate, parse, split, merge, and manipulate PDF files through an MCP server.
Expose PDF files page by page over HTTP for AI and programmatic access.
Extract text, images, tables, links, and metadata from PDF files.
Turn PDFs into source-linked, card-based HTML readers for easier study and navigation.
Read local or remote PDFs with PyMuPDF for extraction and analysis.