TypeScript
ISC
Best Paperless-ngx MCP Servers
Paperless-ngx is a document management system that transforms physical documents into a searchable digital archive using OCR. It helps organize, store, and easily retrieve your paper documents digitally.
Why this server?
Enables interaction with a Paperless-NGX API server, allowing management of documents, tags, correspondents, and document types. Supports document operations like searching, downloading, uploading, bulk editing, as well as creating and listing tags, correspondents, and document types.
Why this server?
Provides tools for managing documents, tags, correspondents, and document types in a Paperless-NGX instance, including document operations (listing, searching, downloading, uploading), tag operations, correspondent operations, and document type operations
Alicense-qualityDmaintenanceEnables interaction with Paperless-NGX API servers, supporting document management, tagging, and metadata operations through a natural language interface.Last updated54178ISCWhy this server?
Enables interaction with the Paperless-ngx document management system, providing tools for searching, retrieving, creating, and managing documents, metadata, and performing bulk operations.
Alicense-qualityCmaintenanceSearch, read, (bulk) edit the documents and metadata in your Paperless NGX instance.Last updatedMITWhy this server?
Integrates with Paperless-ngx to provide AI-powered document intelligence including semantic search, auto-classification, receipt extraction, and accounting export.
Alicense-qualityDmaintenanceAn MCP server that adds AI-powered document intelligence to Paperless-ngx, enabling semantic search, automatic classification, receipt data extraction, bank statement matching, and accounting export — all running locally via Ollama.Last updated10MITWhy this server?
Syncs OCR'd documents from a Paperless-ngx instance as searchable memories.
Alicense-qualityCmaintenanceMCP server providing persistent, searchable memory management for AI workflows, enabling Claude Code to store, retrieve, and organize context through CRUD operations and knowledge tools.Last updatedMIT