PDF Reader MCP
A Node.js/TypeScript-based MCP server that allows AI agents to securely read PDF files from local paths or URLs, extracting text, metadata, and page counts with structured JSON output for easy integration.
Added on:
Created by:
Apr 28 2025
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What is PDF Reader MCP?
The PDF Reader MCP is a server built with Node.js and TypeScript that facilitates AI agents in securely processing PDF files. It supports reading from local files or URLs, extracting full or specific page texts, retrieving metadata such as author and title, and counting total pages. Leveraging the pdf-parse library, it ensures reliable PDF parsing and structured JSON responses. Designed for integration within MCP environments, it offers flexibility, security, and efficiency for applications requiring PDF data extraction for AI workflows.
Who will use PDF Reader MCP?
- AI developers
- Data analysts
- Research professionals
- Automation engineers
- Chatbot developers
How to use the PDF Reader MCP?
- Step 1: Install the MCP server via npm or Docker
- Step 2: Configure your MCP host environment with the appropriate command
- Step 3: Send a JSON request with PDF source details and desired extraction options
- Step 4: Receive structured JSON response with extracted text, metadata, or page count
- Step 5: Use the data for your AI or data processing application
PDF Reader MCP's Core Features & Benefits
The Core Features
- Read full text from PDF
- Read specific pages or ranges
- Extract PDF metadata
- Count total pages
- Handle local files and URLs
- Secure context confinement
- Structured JSON output
The Benefits
- Easy integration into AI workflows
- Supports multiple sources and requests
- Reliable and structured data parsing
- Secure environment for file access
- Flexible for various PDF processing needs
PDF Reader MCP's Main Use Cases & Applications
- AI-powered document analysis
- Automated PDF data extraction for research
- Metadata retrieval for digital archiving
- Page-specific content extraction for content management
- Batch processing of multiple PDFs in workflows