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Read local or remote PDFs with PyMuPDF for extraction and analysis.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.penny4nonsense/mcp-pymupdf" MCP server from askskill: Run: claude mcp add 'io-github-penny4nonsense-mcp-pymupdf' -- npx -y mcp-pymupdf
Use this MCP tool to read the local PDF file /path/to/report.pdf and return a summary of its main contents.
Returns the text content or a summary of the local PDF for quick review.
Read the PDF at this URL: https://example.com/paper.pdf and extract its key conclusions.
Returns readable content from the remote PDF and organizes the main findings or highlights.
Use this tool to read this PDF and identify the paragraphs related to the contract term.
Returns the parts of the document related to the requested topic for easier review and organization.
Researchers or students can use it to read local or online paper PDFs and quickly access the document content before deeper analysis. It is especially useful for initial review workflows.
Office workers can read PDF files from local storage or the web to inspect reports, contracts, or reference documents. This helps reduce the time spent opening files and searching manually.
It is an MCP server based on PyMuPDF for reading PDF document content. It supports both local files and PDFs accessed via URLs.
Based on the provided description, it supports reading local PDF files and PDFs provided through URLs. For more input details, see the source repository.
It is known to use PyMuPDF, but the provided material does not include full installation steps or runtime requirements. See the source repository for dependencies, configuration, and environment details.
A fast MCP tool for reading, parsing, and processing PDF documents.
Read protected or standard PDFs and extract text from large documents.
Extract text, images, tables, links, and metadata from PDF files.
Enable AI to read PDFs, extract content, and search specific information.
Lets AI inspect PDF text layers, outlines, and page content locally.
Read and analyze office files with extraction, search, and upload support.