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Paperless MCP

by PDangelmaier

Productivity/Document Managementdocument managementocrmetadata extractionautomationrest api

Paperless MCP is an open-source document management system designed to streamline the handling of digital documents. It provides a comprehensive solution for storing, organizing, searching, and processing documents, eliminating the need for physical paperwork.

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What is Paperless MCP?

Paperless MCP is an open-source document management system designed to streamline the handling of digital documents in enterprise environments. It provides a comprehensive solution for storing, organizing, searching, and processing documents, eliminating the need for physical paperwork and simplifying document workflows.

How to use Paperless MCP?

To use Paperless MCP, you can either install it locally or using Docker. After installation, you can upload, retrieve, and search documents using the web interface, CLI, or the RESTful API. Configuration can be done through environment variables or configuration files.

Key features of Paperless MCP

  • Secure document storage and organization with hierarchical folders and custom metadata.

  • Document processing with OCR, automated classification, and metadata extraction.

  • Security and compliance with role-based access control, audit logging, and encryption.

  • Integration and extensibility through a RESTful API, webhooks, and a plugin architecture.

Use cases of Paperless MCP

  • Digitalizing and organizing invoices and financial documents.

  • Managing contracts and legal agreements.

  • Storing and searching employee records.

  • Automating document workflows in a business environment.

FAQ from Paperless MCP

What are the prerequisites for local installation?

Node.js (v16 or later), npm or yarn, and PostgreSQL (v13 or later).

How do I configure the database connection?

Set the DATABASE_URL environment variable or configure it in the config.js/config.json file.

How can I integrate Paperless MCP with other systems?

Use the RESTful API available at /api/v1, which supports authentication via API keys or JWT tokens.

What OCR engines are supported?

The system supports various OCR engines, including tesseract and azure. You can specify the engine using the OCR_ENGINE environment variable.

How can I contribute to the project?

Fork the repository, create a feature branch, make your changes, run tests, and submit a pull request.