Compatible with every major AI agent and IDE
Execute sql on QuestDB (Time-Series)
Use this for standard SELECT, INSERT, or DDL operations. Execute SQL statements (queries, DDL, DML) on QuestDB
Export data on QuestDB (Time-Series)
Useful for extracting large datasets. Export query results as CSV or Parquet
Import data on QuestDB (Time-Series)
Automatically creates tables and columns if they do not exist. Import tabular data (CSV, TSV) into a table
Ping on QuestDB (Time-Series)
Health check and version information
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 execute standard SQL queries and DDL commands like creating tables?
Yes! Use the execute_sql tool to run any valid QuestDB SQL statement, including SELECT, INSERT, and table definitions. You can also include parameters like explain to see the execution plan.
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.
Supported Use Cases for QuestDB (Time-Series)
The QuestDB (Time-Series) integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
AI Semantic Routing for time series
Deploy the QuestDB (Time-Series) toolkit to manage time series. The integration offers robust endpoints for ChatGPT to control databases settings.
Prompting sql Workflows
Connect the QuestDB (Time-Series) server to enable sql workflows. The integration provides structured schemas for Claude to mutate databases data.
QuestDB (Time-Series). 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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