document-intelligence-mcp
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.
README
document-intelligence-mcp
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
| Tool | Description |
|---|---|
tool_extract_text_from_pdf |
Extract all text from a PDF, page by page |
tool_extract_tables_from_pdf |
Detect and extract tables from PDF |
tool_get_pdf_metadata |
Read PDF metadata: title, author, dates, outline |
tool_analyze_document_structure |
Detect headings, font sizes, section structure |
tool_search_in_pdf |
Search for keywords with context in PDF |
tool_extract_text_from_docx |
Extract all text from a Word DOCX file |
tool_extract_tables_from_docx |
Extract all tables from a DOCX file |
tool_analyze_docx_structure |
Analyze headings, styles, and structure of DOCX |
tool_count_words_and_stats |
Word count, sentence count, reading time, top words |
tool_detect_document_language |
Detect language of PDF or DOCX (55+ languages) |
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
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.