CategoryWeightCategory scoreContribution
Securityprompt, exec, net, exfil, eval
35%
35.0 pts
Supply chainhash, typosquat, maintainer, lockfile
20%
20.0 pts
Maintenancestaleness, pinning, CI
15%
15.0 pts
TransparencySKILL.md, perms, README
15%
15.0 pts
Communityinstalls, verify, response
15%
15.0 pts
Findings & checks · 0 flagged
Security
✓—All security checks passedNo findings in this category for the latest scan.pass
Supply chain
✓—All supply chain checks passedNo findings in this category for the latest scan.pass
Maintenance
✓—All maintenance checks passedNo findings in this category for the latest scan.pass
Transparency
✓—All transparency checks passedNo findings in this category for the latest scan.pass
Community
✓—All community checks passedNo findings in this category for the latest scan.pass
Every scanned point with the score it earned and what moved between them.
9f23a2d
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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-mcpClaude 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.pdfFind tables in a PDF:
Find all tables in /path/to/financial_report.pdfSearch for a keyword:
Search for "revenue" in /path/to/annual_report.pdfGet document stats:
Count the words and estimate reading time for /path/to/document.docxDetect 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