1. Conduid
  2. Content
  3. Pdf
MCP server · Content

Pdf

MCP server: Pdf

Unclaimed MIT last commit 10 months ago content
49Fair

Scored 5 months ago · breakdown

About Pdf

Pdf is an MCP server published by oriondean in the Content category: mCP server: Pdf.

The repository has 1 stars and 1 forks, with the last commit 10 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/oriondean/mcp-pdf

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Pdf

Powered by Claude · Grounded in docs

I know everything about Pdf. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 3 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

PDF MCP Server

An MCP (Model Context Protocol) server that fetches PDFs from URLs and intelligently parses them for optimal AI consumption. Supports text extraction, image rendering, and hybrid modes.

Features

  • Multiple Processing Modes:

    • 🔤 Text Mode: Fast text extraction for text-heavy documents
    • 🖼️ Images Mode: Renders all pages as high-quality images
    • 🔄 Hybrid Mode: Extracts text + renders visual pages (charts, diagrams)
    • 🤖 Auto Mode: Intelligently detects the best approach based on content
  • Smart Document Analysis: Automatically identifies pages with visual content

  • Configurable Quality: Adjustable DPI (72-300) for image rendering

  • Metadata Extraction: Extracts PDF title, author, page count, and more

  • Security: URL validation, file size limits, and timeout protection

Installation

# Install dependencies
npm install

# Build the project
npm run build

Development

# Run in development mode
npm run dev

# Watch mode (auto-rebuild on changes)
npm run watch

Usage

As an MCP Server

Add to your MCP client configuration (e.g., Claude Desktop):

{
  "mcpServers": {
    "pdf-parser": {
      "command": "node",
      "args": ["C:\\dev\\aii-mcp-example\\dist\\index.js"]
    }
  }
}

Or in development mode:

{
  "mcpServers": {
    "pdf-parser": {
      "command": "npm",
      "args": ["run", "dev"],
      "cwd": "C:\\dev\\aii-mcp-example"
    }
  }
}

Tool: fetch_and_parse_pdf

Fetches a PDF from a URL and parses it according to the specified mode.

Parameters:

  • url (required): URL of the PDF to fetch
  • mode (optional): Processing mode - "text", "images", "hybrid", or "auto" (default: "auto")
  • dpi (optional): Image rendering quality, 72-300 (default: 150)
  • maxPages (optional): Maximum pages to render as images, 1-100 (default: 50)
  • pages (optional): Array of specific page numbers to render

Examples:

// Auto mode - intelligently detects best approach
{
  "url": "https://example.com/document.pdf"
}

// Text-only extraction
{
  "url": "https://example.com/report.pdf",
  "mode": "text"
}

// Render all pages as images
{
  "url": "https://example.com/slides.pdf",
  "mode": "images",
  "dpi": 200,
  "maxPages": 20
}

// Hybrid mode with specific pages
{
  "url": "https://example.com/report.pdf",
  "mode": "hybrid",
  "pages": [1, 5, 10]
}

How It Works

Mode Selection Logic

Auto Mode analyzes the document and selects:

  • Text Mode: For documents with high text density and no visual elements
  • Images Mode: For documents with >50% visual pages or very low text density
  • Hybrid Mode: For mixed-content documents (text + charts/diagrams)

Hybrid Mode Intelligence

In hybrid mode, the tool:

  1. Extracts all text content
  2. Analyzes each page to detect visual elements (images, charts, low text density)
  3. Selectively renders only pages with important visual content
  4. Returns both text and images for optimal AI understanding

Performance Considerations

  • Text extraction: <1s for most PDFs
  • Image rendering: ~500ms per page
  • Memory usage: ~200MB for typical documents
  • Maximum file size: 50MB (configurable)
  • Request timeout: 30 seconds

Architecture

src/
├── index.ts              # MCP server entry point
├── tools/
│   └── pdfTool.ts        # PDF tool implementation
├── utils/
│   ├── fetcher.ts        # URL fetching with validation
│   ├── pdfParser.ts      # Text extraction (PDF.js)
│   ├── pdfRenderer.ts    # Image rendering (Canvas)
│   └── documentAnalyzer.ts # Intelligent content detection
└── types/
    └── index.ts          # TypeScript type definitions

Technologies

Security Features

  • ✅ URL protocol validation (HTTP/HTTPS only)
  • ✅ File size limits (default 50MB)
  • ✅ Request timeouts (30 seconds)
  • ✅ Content-Type verification
  • ✅ Input validation with Zod schemas

Error Handling

The server provides detailed error messages for:

  • Invalid URLs
  • Network failures
  • Timeout errors
  • PDF parsing errors
  • File size violations
  • Unsupported content types

Limitations

  • Maximum file size: 50MB
  • Maximum pages for rendering: 100
  • Supported protocols: HTTP, HTTPS only
  • Image format: PNG (base64 encoded)

Use Cases

  • 📄 Research Papers: Hybrid mode extracts text + renders figures
  • 📊 Financial Reports: Hybrid mode for text + charts
  • 📝 Text Documents: Text mode for fast, efficient extraction
  • 🎨 Presentations: Images mode for slide decks
  • 📋 Forms: Images mode to preserve layout
  • 📚 eBooks: Text mode for optimal reading

License

MIT

README fetched from the repository 3 days ago. The original is authoritative.

Questions

About Pdf

How do I install Pdf?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Pdf safe to use with an AI agent?

Its trust score is 49 out of 100 (fair). It passes 5 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Pdf still maintained?

The last commit was 10 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.