Document Intelligence

PyPI version License: MIT Python 3.10+

Local document intelligence for AI agents — extract text, detect tables, read metadata, analyze structure, search keywords, and detect language from PDF and DOCX files. No cloud API required, no API key needed.

Features

• 10 MCP Tools for PDF and DOCX processing
• Local processing — no data leaves your machine
• No API key required
• Supports PDF (via PyMuPDF + pdfplumber) and Microsoft Word DOCX (via python-docx)
• Language detection via langdetect (55+ languages)

Tools

Installation

pip install document-intelligence-mcp

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "document-intelligence": {
      "command": "document-intelligence-mcp"
    }
  }
}

Usage Examples

Extract text from a PDF:

Extract the text from /path/to/report.pdf

Find tables in a PDF:

Find all tables in /path/to/financial_report.pdf

Search for a keyword:

Search for "revenue" in /path/to/annual_report.pdf

Get document stats:

Count the words and estimate reading time for /path/to/document.docx

Detect language:

What language is /path/to/document.pdf written in?

Requirements

• Python 3.10+
• PyMuPDF >= 1.24.0
• pdfplumber >= 0.11.0
• python-docx >= 1.1.0
• langdetect >= 1.0.9

License

MIT License — free to use, modify, and distribute.

Built by AiAgentKarl | Part of the AI Agent Economy toolkit