Multi-Format Document Parser MCP Server

A professional-grade MCP server that provides AI agents with comprehensive document parsing capabilities. Built specifically for the agent economy by Agenson Horrowitz.

🤖 Why This Exists

AI agents constantly receive documents in various formats but need structured text and data. Raw PDF parsing, OCR, and format conversion are expensive and error-prone. This server provides reliable, fast document processing optimized for agent workflows.

⚡ Key Features

• Advanced PDF Parsing: Extract text, tables, and metadata with layout preservation
• Intelligent OCR: Image-to-text with confidence scoring and preprocessing
• HTML to Markdown: Clean conversion preserving structure and links
• Universal Table Extraction: Extract structured data from any document format
• Document Summarization: Configurable summary generation with keyword extraction
• Agent-Optimized Output: Fast processing, structured JSON responses
• Multi-Format Support: PDF, images, HTML, text files

🚀 Installation

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "document-parser": {
      "command": "npx",
      "args": ["@agenson-horrowitz/document-parser-mcp"]
    }
  }
}

Cline Configuration

Add to your Cline MCP settings:

{
  "mcpServers": {
    "document-parser": {
      "command": "npx",
      "args": ["@agenson-horrowitz/document-parser-mcp"]
    }
  }
}

Via npm

npm install -g @agenson-horrowitz/document-parser-mcp

Via MCPize (One-click deployment)

Deploy instantly on MCPize with built-in billing and authentication.

🛠️ Available Tools

1. parse_pdf

Extract comprehensive information from PDF documents.

Perfect for: Reports, invoices, contracts, research papers, forms

Features:

• Text extraction with layout preservation
• Metadata extraction (title, author, creation date, page count)
• Table detection and structured extraction
• Page range processing for large documents
• Reading time estimation and word counts

Example:

{
  "file_path": "/path/to/document.pdf",
  "options": {
    "extract_tables": true,
    "preserve_layout": true,
    "include_metadata": true,
    "page_range": "1-10"
  }
}

2. parse_image_text

Perform high-quality OCR on images with confidence scoring.

Perfect for: Screenshots, scanned documents, photos of text, receipts

Features:

• Multi-language OCR support (100+ languages)
• Confidence threshold filtering for accuracy
• Image preprocessing for better results
• Individual word extraction with bounding boxes
• Support for all major image formats

Example:

{
  "image_path": "/path/to/screenshot.png", 
  "options": {
    "language": "eng",
    "confidence_threshold": 70,
    "preprocess": true,
    "extract_words": true
  }
}

3. html_to_markdown

Convert HTML documents to clean, structured markdown.

Perfect for: Web pages, HTML emails, documentation, blog posts

Features:

• Preserve tables, links, headings, and lists
• Remove scripts and styling for clean text
• Configurable whitespace normalization
• Image URL and alt text extraction
• Support for comp

... View full README on GitHub