pdf-reader-mcp
If you are the rightful owner of pdf-reader-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
Empower your AI agents with the ability to securely read and extract information from PDF files using the PDF Reader MCP Server.
The PDF Reader MCP Server by Sylphlab is a versatile tool designed to enable AI agents to securely read and extract information from PDF files. It supports extracting text, metadata, and page count from PDFs, and can handle both local files and URLs. The server is designed to operate within a defined project root, ensuring secure file access. It provides structured JSON output, making it easy for AI agents to parse and utilize the extracted data. The server can be integrated into MCP environments using npm or Docker, and is built on the robust `pdfjs-dist` library for reliable PDF parsing.
Features
- Read full text content from PDF files.
- Read text content from specific pages or page ranges.
- Read PDF metadata (author, title, creation date, etc.).
- Get the total page count of a PDF.
- Process multiple PDF sources (local paths or URLs) in a single request.
