Provides type-safe implementation with comprehensive type definitions for PDF processing operations
PDF Reader MCP Server
A Model Context Protocol (MCP) server for extracting and processing content from PDF documents. This server provides secure, efficient, and flexible PDF content extraction capabilities following the MCP specification.
Features
- Text Extraction: Extract plain text from PDF documents with formatting preservation
- Metadata Extraction: Extract document metadata (title, author, dates, page count, etc.)
- Page-Level Processing: Extract content from specific pages or page ranges
- PDF Validation: Validate PDF file integrity and readability
- Security-First: Input validation and sandboxed processing
- Type-Safe: Full TypeScript implementation with comprehensive type definitions
Why Choose This MCP Server?
🎯 Specialized PDF Tools
- 4 dedicated tools for different PDF processing needs (text, metadata, pages, validation)
- Granular control - extract specific pages, preserve formatting, or get structured output
- Flexible page ranges - support for "1-5", "1,3,5", or "all" syntax
🛡️ Enterprise-Grade Security
- Directory traversal protection prevents unauthorized file access
- File size limits (configurable up to 100MB by default)
- Processing timeouts prevent resource exhaustion
- Memory usage controls (500MB limit by default)
- No temporary file persistence - secure processing without data leakage
⚡ Production-Ready Architecture
- Robust error handling with standardized MCP error codes (-32602 to -32605)
- Structured logging with Winston for monitoring and debugging
- Comprehensive input validation using Zod schemas
- Type-safe TypeScript implementation with full type definitions
- Concurrent processing support for multiple PDF operations
🔧 Developer Experience
- Easy configuration via environment variables
- Flexible deployment - works with 70+ MCP-compatible clients
- Clear documentation with real-world examples
- Modern tech stack - TypeScript, pdf-parse, pdf-lib
- Test coverage with Vitest for reliability
📊 Performance Optimized
- Efficient PDF processing optimized for text-based documents
- Configurable resource limits to match your infrastructure
- Minimal dependencies for faster startup and lower memory footprint
- Streaming support for large document processing
Installation
Usage
As MCP Server
Start the server:
Client Configuration
This MCP server can be used with various AI applications and development tools. Below are configuration instructions for the most popular clients:
Claude Desktop
Add this configuration to your Claude Desktop config file:
Windows: %APPDATA%\Claude\claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
VS Code and VS Code-based Editors
For VS Code, Cursor, Windsurf, and other VS Code-based editors, install an MCP extension:
- Install the MCP extension from the marketplace
- Add this configuration to your
settings.json
:
ChatGPT Desktop
For ChatGPT Desktop (available since OpenAI's MCP adoption in March 2025):
- Go to Settings → Integrations → MCP Servers
- Add new server with:
- Name: PDF Reader
- Command:
node /path/to/pdf-reader-mcp/dist/index.js
Claude Code
Option 1: Command Line (Recommended)
Unix/macOS:
Windows:
Option 2: Configuration File
Configure in your project's .claude/settings.json
:
Other Clients
For other MCP-compatible applications (Microsoft Copilot Studio, Replit, Zed, etc.), refer to the official MCP documentation for client-specific configuration instructions.
Available Tools
1. extract_pdf_text
Extract text content from PDF documents.
Parameters:
file_path
(required): Path to the PDF filepages
(optional): Page range ("1-5", "1,3,5", or "all")preserve_formatting
(optional): Whether to preserve text formattinginclude_metadata
(optional): Whether to include document metadata
2. extract_pdf_metadata
Extract metadata and document information from PDF files.
Parameters:
file_path
(required): Path to the PDF file
3. extract_pdf_pages
Extract content from specific pages or page ranges.
Parameters:
file_path
(required): Path to the PDF filepage_range
(required): Page range to extractoutput_format
(optional): "text" or "structured"
4. validate_pdf
Validate PDF file integrity and readability.
Parameters:
file_path
(required): Path to the PDF file
Configuration
Environment variables:
PDF_MAX_FILE_SIZE
: Maximum file size in bytes (default: 104857600 = 100MB)PDF_PROCESSING_TIMEOUT
: Processing timeout in milliseconds (default: 60000)PDF_MAX_MEMORY_USAGE
: Maximum memory usage in bytes (default: 524288000 = 500MB)LOG_LEVEL
: Logging level (default: 'info')
Security
- Input validation for all file paths
- Directory traversal protection
- File size and memory limits
- Processing timeouts
- No temporary file persistence
Error Handling
The server provides comprehensive error handling with specific error codes:
-32602
: Validation errors-32603
: File access errors-32604
: Size/resource errors-32605
: Format errors
Performance
- Supports files up to 100MB
- Memory usage limited to 500MB
- Concurrent processing support
- Optimized for text-based PDFs
License
MIT
This server cannot be installed
local-only server
The server can only run on the client's local machine because it depends on local resources.
A Model Context Protocol server that extracts and processes content from PDF documents, providing text extraction, metadata retrieval, page-level processing, and PDF validation capabilities.
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