Compatible with every major AI agent and IDE
Check live on Cube.dev
Check if Cube deployment is live
Check ready on Cube.dev
Check if Cube deployment is ready
Convert query on Cube.dev
Convert a SQL query to a REST API query format
Execute cube sql on Cube.dev
Execute a raw SQL query against the SQL API
Generate meta token on Cube.dev
Requires CUBE_CLOUD_API_KEY. Generate a JWT for the Metadata API
Get entity on Cube.dev
Get detailed metadata for a specific entity
Get meta on Cube.dev
Get metadata for cubes and views
Get pre aggregation job status on Cube.dev
Get status of pre-aggregation jobs
Get sql on Cube.dev
Useful for debugging. Get generated SQL for a Cube query
List data sources on Cube.dev
List configured data sources
List deployments on Cube.dev
Requires CUBE_CLOUD_API_KEY. List all Cube Cloud deployments
List entities on Cube.dev
List all cubes and views
List environments on Cube.dev
Requires CUBE_CLOUD_API_KEY. List environments for a deployment
Load query on Cube.dev
Use this to get aggregated data. Execute a Cube query and return results
Trigger pre aggregation job on Cube.dev
Trigger a pre-aggregation build job
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.
Can I see the exact SQL that Cube generates for a specific query?
Yes. You can use the get_sql tool. By providing the query JSON, the agent will return the generated SQL string, which is perfect for debugging or verifying your data logic.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
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 can AI Agents do with Cube.dev?
The Cube.dev integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Autonomous semantic layer Strategies
Integrate Cube.dev to access native semantic layer capabilities. This allows LLMs to perform secure, deterministic execution of brain trust tasks without hard-coded API scripts.
Secure data modeling Access for Agents
Add Cube.dev to your workspace to support data modeling automation. The integration processes the required parameters for brain trust execution by LLMs.
Cube.dev. 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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