Compatible with every major AI agent and IDE
Create document on Dropbox Paper
paper` artifact. Create a brand-new Dropbox Paper document with Markdown content
Create folder on Dropbox Paper
Create a new folder at the specified Dropbox path
Delete file on Dropbox Paper
Permanently delete a file or Paper document
Get account on Dropbox Paper
Retrieve the authenticated Dropbox account profile
Get metadata on Dropbox Paper
Retrieve detailed metadata for a specific file or Paper document
Get space usage on Dropbox Paper
Check current Dropbox storage space usage and quota
List files on Dropbox Paper
Use to browse and discover documents. List all files and Paper documents in a specified Dropbox folder path
List files continue on Dropbox Paper
Continue paginating through a large folder listing
List shared folders on Dropbox Paper
List all folders shared with or by the authenticated user
List shared links on Dropbox Paper
List all shared links created for files or folders
Move file on Dropbox Paper
Move or rename a file/Paper document
Search files on Dropbox Paper
paper` file extensions mapping structural relevance. Full-text search across all Dropbox Paper documents (*.paper files)
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.
How do I search across all my Paper documents via chat?
Use the 'search_files' tool. It executes deep full-text indexing queries specifically filtering for '.paper' files, allowing you to find content across your entire workspace through natural language.
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.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Automated Workflows using Dropbox Paper
The Dropbox Paper MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
Managing collaborative editing inside Claude
Connect Dropbox Paper to your AI agents (Claude, ChatGPT, Cursor) to manage collaborative editing operations. The MCP server processes the underlying API requests and schema formatting for the collaboration domain.
Mastering markdown support with Agents
The Dropbox Paper integration exposes LLM-friendly schemas for markdown support. Tools like Cursor can map natural language directly into executable collaboration commands.
Dropbox Paper. 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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