An MCP server built with Node.js/TypeScript that allows AI agents to securely read PDF files (local or URL) and extract text, metadata, or page counts. Uses pdf-parse.
Overview
What is PDF Reader MCP?
PDF Reader MCP is an MCP server built with Node.js and TypeScript that allows AI agents to securely read PDF files from local storage or URLs, extracting text, metadata, and page counts effortlessly.
How to use PDF Reader MCP?
To use PDF Reader MCP, clone the repository, install the dependencies, and start the server. You can then send requests to read PDF files either from local paths or URLs.
Key features of PDF Reader MCP?
- AI Agent Integration for processing PDF files.
- Text Extraction from PDF documents.
- Metadata Retrieval including author, title, and creation date.
- Page Count retrieval for total pages in a PDF.
- Secure handling of PDF files.
Use cases of PDF Reader MCP?
- Document analysis for extracting information from PDFs.
- Content generation using extracted text and metadata.
- Integration with AI applications for enhanced document processing.
FAQ from PDF Reader MCP?
- Can PDF Reader MCP handle all types of PDF files?
Yes! It can read and process various PDF files from local storage or URLs.
- Is PDF Reader MCP secure for sensitive documents?
Yes! The server ensures secure handling of all PDF files, but it's recommended to avoid uploading sensitive documents without proper security measures.
- How do I integrate PDF Reader MCP with AI agents?
You can use the extracted text and metadata to enhance your AI's capabilities, making it suitable for various applications.