Compatible with every major AI agent and IDE
Create data source on Databox
Create a new data source
Create dataset on Databox
Create a new dataset
Delete dataset on Databox
Delete a dataset
Get current user on Databox
Get authenticated user profile
Get dataset details on Databox
Get details for a specific dataset
Get storage statistics on Databox
Get data storage stats
List accounts on Databox
List all Databox accounts
List activity logs on Databox
List API activity logs
List data sources on Databox
List data sources for an account
List dataset metrics on Databox
List metrics in a dataset
List datasets on Databox
List all datasets
Push metrics data on Databox
Ingest data into a dataset
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Does it support real-time data pushing?
The push_metrics_data tool allows for immediate ingestion of data records, making them available for visualization in Databox instantly.
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.
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 Databox via Natural Language
Add the Databox tool to your AI Agents. The toolkit allows Claude and ChatGPT to securely fetch and update targeted data.
Managing kpi tracking inside Claude
The Databox MCP translates LLM intent into specific kpi tracking actions. Agents like Cursor use this to interface securely with your data analytics infrastructure.
Claude Code Integration for data visualization
The Databox integration allows Cursor and ChatGPT to securely fetch data visualization data. It handles the API requests required for data analytics operations.
Databox. 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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