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PDF Reader MCP 📄

Production-ready PDF processing server for AI agents

CI/CD codecov npm version coverage Downloads License

5-10x faster parallel processingY-coordinate content ordering94%+ test coverage103 tests passing

基于原项目: 此项目基于 pdf-reader-mcp 修改而来


🚀 Overview

PDF Reader MCP is a production-ready Model Context Protocol server that empowers AI agents with enterprise-grade PDF processing capabilities. Extract text, images, and metadata with unmatched performance and reliability.

The Problem:

// Traditional PDF processing
- Sequential page processing (slow)
- No natural content ordering
- Complex path handling
- Poor error isolation

The Solution:

// PDF Reader MCP
- 5-10x faster parallel processing ⚡
- Y-coordinate based ordering 📐
- Flexible path support (absolute/relative) 🎯
- Per-page error resilience 🛡️
- 94%+ test coverage ✅

Result: Production-ready PDF processing that scales.


Related MCP server: PDF Reader MCP Server

⚡ Key Features

Performance

  • 🚀 5-10x faster than sequential with automatic parallelization

  • 12,933 ops/sec error handling, 5,575 ops/sec text extraction

  • 💨 Process 50-page PDFs in seconds with multi-core utilization

  • 📦 Lightweight with minimal dependencies

Developer Experience

  • 🎯 Path Flexibility - Absolute & relative paths, Windows/Unix support (v1.3.0)

  • 🖼️ Smart Ordering - Y-coordinate based content preserves document layout

  • 🛡️ Type Safe - Full TypeScript with strict mode enabled

  • 📚 Battle-tested - 103 tests, 94%+ coverage, 98%+ function coverage

  • 🎨 Simple API - Single tool handles all operations elegantly


📊 Performance Benchmarks

Real-world performance from production testing:

Operation

Ops/sec

Performance

Use Case

Error handling

12,933

⚡⚡⚡⚡⚡

Validation & safety

Extract full text

5,575

⚡⚡⚡⚡

Document analysis

Extract page

5,329

⚡⚡⚡⚡

Single page ops

Multiple pages

5,242

⚡⚡⚡⚡

Batch processing

Metadata only

4,912

⚡⚡⚡

Quick inspection

Parallel Processing Speedup

Document

Sequential

Parallel

Speedup

10-page PDF

~2s

~0.3s

5-8x faster

50-page PDF

~10s

~1s

10x faster

100+ pages

~20s

~2s

Linear scaling with CPU cores

Benchmarks vary based on PDF complexity and system resources.


📦 Installation

# Quick start - zero installation
npx @sylphx/pdf-reader-mcp

# Using pnpm (recommended)
pnpm add @sylphx/pdf-reader-mcp

# Using npm
npm install @sylphx/pdf-reader-mcp

# Using yarn
yarn add @sylphx/pdf-reader-mcp

# For Claude Desktop (easiest)
npx -y @smithery/cli install @sylphx/pdf-reader-mcp --client claude

🎯 Quick Start

Configuration

Add to your MCP client (claude_desktop_config.json, Cursor, Cline):

{
  "mcpServers": {
    "pdf-reader-mcp": {
      "command": "npx",
      "args": ["@bachstudio/pdf-reader-mcp"]
    }
  }
}

Basic Usage

{
  "sources": [{
    "path": "documents/report.pdf"
  }],
  "include_full_text": true,
  "include_metadata": true,
  "include_page_count": true
}

Result:

  • ✅ Full text content extracted

  • ✅ PDF metadata (author, title, dates)

  • ✅ Total page count

  • ✅ Structural sharing - unchanged parts preserved

Extract Specific Pages

{
  "sources": [{
    "path": "documents/manual.pdf",
    "pages": "1-5,10,15-20"
  }],
  "include_full_text": true
}

Absolute Paths (v1.3.0+)

// Windows - Both formats work!
{
  "sources": [{
    "path": "C:\\Users\\John\\Documents\\report.pdf"
  }],
  "include_full_text": true
}

// Unix/Mac
{
  "sources": [{
    "path": "/home/user/documents/contract.pdf"
  }],
  "include_full_text": true
}

No more "Absolute paths are not allowed" errors!

Extract Images with Natural Ordering

{
  "sources": [{
    "path": "presentation.pdf",
    "pages": [1, 2, 3]
  }],
  "include_images": true,
  "include_full_text": true
}

Response includes:

  • Text and images in exact document order (Y-coordinate sorted)

  • Base64-encoded images with metadata (width, height, format)

  • Natural reading flow preserved for AI comprehension

Batch Processing

{
  "sources": [
    { "path": "C:\\Reports\\Q1.pdf", "pages": "1-10" },
    { "path": "/home/user/Q2.pdf", "pages": "1-10" },
    { "url": "https://example.com/Q3.pdf" }
  ],
  "include_full_text": true
}

All PDFs processed in parallel automatically!


✨ Features

Core Capabilities

  • Text Extraction - Full document or specific pages with intelligent parsing

  • Image Extraction - Base64-encoded with complete metadata (width, height, format)

  • Content Ordering - Y-coordinate based layout preservation for natural reading flow

  • Metadata Extraction - Author, title, creation date, and custom properties

  • Page Counting - Fast enumeration without loading full content

  • Dual Sources - Local files (absolute or relative paths) and HTTP/HTTPS URLs

  • Batch Processing - Multiple PDFs processed concurrently

Advanced Features

  • 5-10x Performance - Parallel page processing with Promise.all

  • 🎯 Smart Pagination - Extract ranges like "1-5,10-15,20"

  • 🖼️ Multi-Format Images - RGB, RGBA, Grayscale with automatic detection

  • 🛡️ Path Flexibility - Windows, Unix, and relative paths all supported (v1.3.0)

  • 🔍 Error Resilience - Per-page error isolation with detailed messages

  • 📏 Large File Support - Efficient streaming and memory management

  • 📝 Type Safe - Full TypeScript with strict mode enabled


🆕 What's New in v1.3.0

🎉 Absolute Paths Now Supported!

// ✅ Windows
{ "path": "C:\\Users\\John\\Documents\\report.pdf" }
{ "path": "C:/Users/John/Documents/report.pdf" }

// ✅ Unix/Mac
{ "path": "/home/john/documents/report.pdf" }
{ "path": "/Users/john/Documents/report.pdf" }

// ✅ Relative (still works)
{ "path": "documents/report.pdf" }

Other Improvements:

  • 🐛 Fixed Zod validation error handling

  • 📦 Updated all dependencies to latest versions

  • ✅ 103 tests passing, 94%+ coverage maintained

v1.2.0 - Content Ordering

  • Y-coordinate based text and image ordering

  • Natural reading flow for AI models

  • Intelligent line grouping

v1.1.0 - Image Extraction & Performance

  • Base64-encoded image extraction

  • 10x speedup with parallel processing

  • Comprehensive test coverage (94%+)

View Full Changelog →


📖 API Reference

read_pdf Tool

The single tool that handles all PDF operations.

Parameters

Parameter

Type

Description

Default

sources

Array

List of PDF sources to process

Required

include_full_text

boolean

Extract full text content

false

include_metadata

boolean

Extract PDF metadata

true

include_page_count

boolean

Include total page count

true

include_images

boolean

Extract embedded images

false

Source Object

{
  path?: string;        // Local file path (absolute or relative)
  url?: string;         // HTTP/HTTPS URL to PDF
  pages?: string | number[];  // Pages to extract: "1-5,10" or [1,2,3]
}

Examples

Metadata only (fast):

{
  "sources": [{ "path": "large.pdf" }],
  "include_metadata": true,
  "include_page_count": true,
  "include_full_text": false
}

From URL:

{
  "sources": [{
    "url": "https://arxiv.org/pdf/2301.00001.pdf"
  }],
  "include_full_text": true
}

Page ranges:

{
  "sources": [{
    "path": "manual.pdf",
    "pages": "1-5,10-15,20"  // Pages 1,2,3,4,5,10,11,12,13,14,15,20
  }]
}

🔧 Advanced Usage

Content is returned in natural reading order based on Y-coordinates:

Document Layout:
┌─────────────────────┐
│ [Title]       Y:100 │
│ [Image]       Y:150 │
│ [Text]        Y:400 │
│ [Photo A]     Y:500 │
│ [Photo B]     Y:550 │
└─────────────────────┘

Response Order:
[
  { type: "text", text: "Title..." },
  { type: "image", data: "..." },
  { type: "text", text: "..." },
  { type: "image", data: "..." },
  { type: "image", data: "..." }
]

Benefits:

  • AI understands spatial relationships

  • Natural document comprehension

  • Perfect for vision-enabled models

  • Automatic multi-line text grouping

Enable extraction:

{
  "sources": [{ "path": "manual.pdf" }],
  "include_images": true
}

Response format:

{
  "images": [{
    "page": 1,
    "index": 0,
    "width": 1920,
    "height": 1080,
    "format": "rgb",
    "data": "base64-encoded-png..."
  }]
}

Supported formats: RGB, RGBA, Grayscale Auto-detected: JPEG, PNG, and other embedded formats

Absolute paths (v1.3.0+) - Direct file access:

{ "path": "C:\\Users\\John\\file.pdf" }
{ "path": "/home/user/file.pdf" }

Relative paths - Workspace files:

{ "path": "docs/report.pdf" }
{ "path": "./2024/Q1.pdf" }

Configure working directory:

{
  "mcpServers": {
    "pdf-reader-mcp": {
      "command": "npx",
      "args": ["@sylphx/pdf-reader-mcp"],
      "cwd": "/path/to/documents"
    }
  }
}

Strategy 1: Page ranges

{ "sources": [{ "path": "big.pdf", "pages": "1-20" }] }

Strategy 2: Progressive loading

// Step 1: Get page count
{ "sources": [{ "path": "big.pdf" }], "include_full_text": false }

// Step 2: Extract sections
{ "sources": [{ "path": "big.pdf", "pages": "50-75" }] }

Strategy 3: Parallel batching

{
  "sources": [
    { "path": "big.pdf", "pages": "1-50" },
    { "path": "big.pdf", "pages": "51-100" }
  ]
}

🔧 Troubleshooting

"Absolute paths are not allowed"

Solution: Upgrade to v1.3.0+

npm update @sylphx/pdf-reader-mcp

Restart your MCP client completely.


"File not found"

Causes:

  • File doesn't exist at path

  • Wrong working directory

  • Permission issues

Solutions:

Use absolute path:

{ "path": "C:\\Full\\Path\\file.pdf" }

Or configure cwd:

{
  "pdf-reader-mcp": {
    "command": "npx",
    "args": ["@sylphx/pdf-reader-mcp"],
    "cwd": "/path/to/docs"
  }
}

"No tools showing up"

Solution:

npm cache clean --force
rm -rf node_modules package-lock.json
npm install @sylphx/pdf-reader-mcp@latest

Restart MCP client completely.


🏗️ Architecture

Tech Stack

Component

Technology

Runtime

Node.js 22+ ESM

PDF Engine

PDF.js (Mozilla)

Validation

Zod + JSON Schema

Protocol

MCP SDK

Language

TypeScript (strict)

Testing

Vitest (103 tests)

Quality

Biome (50x faster)

CI/CD

GitHub Actions

Design Principles

  • 🔒 Security First - Flexible paths with secure defaults

  • 🎯 Simple Interface - One tool, all operations

  • Performance - Parallel processing, efficient memory

  • 🛡️ Reliability - Per-page isolation, detailed errors

  • 🧪 Quality - 94%+ coverage, strict TypeScript

  • 📝 Type Safety - No any types, strict mode

  • 🔄 Backward Compatible - Smooth upgrades always


🧪 Development

Prerequisites:

  • Node.js >= 22.0.0

  • pnpm (recommended) or npm

Setup:

git clone https://github.com/SylphxAI/pdf-reader-mcp.git
cd pdf-reader-mcp
pnpm install && pnpm build

Scripts:

pnpm run build       # Build TypeScript
pnpm run test        # Run 103 tests
pnpm run test:cov    # Coverage (94%+)
pnpm run check       # Lint + format
pnpm run check:fix   # Auto-fix
pnpm run benchmark   # Performance tests

Quality:

  • ✅ 103 tests

  • ✅ 94%+ coverage

  • ✅ 98%+ function coverage

  • ✅ Zero lint errors

  • ✅ Strict TypeScript

Quick Start:

  1. Fork repository

  2. Create branch: git checkout -b feature/awesome

  3. Make changes: pnpm test

  4. Format: pnpm run check:fix

  5. Commit: Use Conventional Commits

  6. Open PR

Commit Format:

feat(images): add WebP support
fix(paths): handle UNC paths
docs(readme): update examples

See CONTRIBUTING.md


📚 Documentation


🗺️ Roadmap

✅ Completed

  • Image extraction (v1.1.0)

  • 5-10x parallel speedup (v1.1.0)

  • Y-coordinate ordering (v1.2.0)

  • Absolute paths (v1.3.0)

  • 94%+ test coverage (v1.3.0)

🚀 Next

  • OCR for scanned PDFs

  • Annotation extraction

  • Form field extraction

  • Table detection

  • 100+ MB streaming

  • Advanced caching

  • PDF generation

Vote at Discussions


🏆 Recognition

Featured on:

Trusted worldwideEnterprise adoptionBattle-tested


🤝 Support

GitHub Issues Discord

Show Your Support: ⭐ Star • 👀 Watch • 🐛 Report bugs • 💡 Suggest features • 🔀 Contribute


📊 Stats

Stars Forks Downloads Contributors

103 Tests94%+ CoverageProduction Ready


📄 License

MIT © Sylphx


🙏 Credits

Built with:

Special thanks to the open source community ❤️


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