paperless-mcp and mcp_documents_reader

These tools are **complements**: the documents reader provides local file parsing capabilities (DOCX, PDF, Excel, TXT) while the Paperless-NGX MCP server enables integration with an external document management system, allowing users to read files locally and manage them through a dedicated document server in tandem.

paperless-mcp
54
Established
mcp_documents_reader
50
Established
Maintenance 6/25
Adoption 10/25
Maturity 17/25
Community 21/25
Maintenance 10/25
Adoption 6/25
Maturity 20/25
Community 14/25
Stars: 140
Forks: 40
Downloads:
Commits (30d): 0
Language: TypeScript
License:
Stars: 15
Forks: 3
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No License
No risk flags

About paperless-mcp

nloui/paperless-mcp

An MCP (Model Context Protocol) server for interacting with a Paperless-NGX API server. This server provides tools for managing documents, tags, correspondents, and document types in your Paperless-NGX instance.

This project integrates Paperless-NGX with AI assistants like Claude, letting you manage your digitized documents using natural language. You can ask your AI to find documents, apply tags, categorize items, and create new entries without manually navigating Paperless-NGX. It's designed for anyone who uses Paperless-NGX to organize their digital files and wants to streamline their workflow with AI assistance.

document-management digital-archiving information-organization AI-assisted-workflow paperless-office

About mcp_documents_reader

xt765/mcp_documents_reader

Model Context Protocol (MCP) server exposes tools to read multiple document types including DOCX, PDF, Excel, and TXT. This has been tested on Trae Desktop.

This tool helps AI assistants quickly understand information locked away in common document types like Word files, PDFs, Excel spreadsheets, and plain text. You provide the AI with a document file, and it extracts the raw text content for the AI to process. This is ideal for anyone leveraging AI agents for information retrieval, document analysis, or content synthesis from diverse sources.

AI agent productivity document analysis information extraction AI workflow automation digital content processing

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