Compatible with every major AI agent and IDE
Create correspondent on Paperless-ngx
Create a new correspondent
Create document type on Paperless-ngx
Create a new document type
Create saved view on Paperless-ngx
Create a new saved view
Create tag on Paperless-ngx
Create a new tag
Delete correspondent on Paperless-ngx
Delete a correspondent
Delete document on Paperless-ngx
Delete a document
Delete document type on Paperless-ngx
Delete a document type
Delete saved view on Paperless-ngx
Delete a saved view
Delete tag on Paperless-ngx
Delete a tag
Download document on Paperless-ngx
Download the actual document file
Get correspondent on Paperless-ngx
Retrieve correspondent details
Get document on Paperless-ngx
Retrieve details of a specific document
Get document type on Paperless-ngx
Retrieve document type details
Get tag on Paperless-ngx
Retrieve tag details
List correspondents on Paperless-ngx
List all correspondents
List document types on Paperless-ngx
List all document types
List documents on Paperless-ngx
Supports filtering and searching via query parameters. List all documents in Paperless-ngx
List saved views on Paperless-ngx
List all saved views
List tags on Paperless-ngx
List all tags
Preview document on Paperless-ngx
Get a preview of the document
Thumb document on Paperless-ngx
Get the document thumbnail
Update correspondent on Paperless-ngx
Update a correspondent
Update document on Paperless-ngx
Update document metadata
Update document type on Paperless-ngx
Update a document type
Update tag on Paperless-ngx
Update a tag
Upload document on Paperless-ngx
Upload a new document
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I create new organization categories like tags or correspondents via AI?
Yes, you have full management capabilities. You can use create_tag, create_correspondent, and create_document_type to organize your archive on the fly.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Triggering Paperless-ngx via Natural Language
The Paperless-ngx MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
Automating digital archive with AI
Use the Paperless-ngx server to execute digital archive operations from your AI agent. The protocol manages state and authentication for continuous loved by devs workflows.
Prompting ocr Workflows
Use the Paperless-ngx server to execute ocr operations from your AI agent. The protocol manages state and authentication for continuous loved by devs workflows.
Paperless-ngx. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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