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PDF Annotator

byychoi-kr
0
Productivity & Workflow
Learning & Documentation
Content Management

Extracts PDF annotations, highlights, and text, enabling AI clients to safely interact with document content.

About

This Model Context Protocol (MCP) server allows AI clients like Claude to securely interact with your PDF documents. It provides robust capabilities to list accessible PDFs, extract highlights with their corresponding text, retrieve raw notes and annotations, read specific pages, and display essential document metadata. Access to files is strictly limited to pre-configured directories, ensuring data safety and controlled document interaction for automated workflows and AI-driven content analysis.

Key Features

  • Extract PDF annotations with configurable filtering (e.g., Highlights, Text)
  • Map highlighted sections to their exact underlying page text
  • Read specific PDF pages or ranges (e.g., first, last, N, S-E)
  • Retrieve PDF metadata including title, author, and creation dates
  • Securely access PDFs only from explicitly allowed and configurable directories
  • 0 GitHub stars

Use Cases

  • Automate the extraction of key insights and highlights from research papers using an AI assistant
  • Enable AI models to read specific pages or entire PDFs for summarization and question-answering
  • Manage and query information from a controlled library of PDF documents via an MCP client
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