Compatible with every major AI agent and IDE
Execute sql query on Apache Superset
Provide a database ID and the SQL statement. Executes a SQL query via SQL Lab
Get chart details on Apache Superset
Retrieves details for a specific chart
Get dashboard details on Apache Superset
Retrieves details for a specific dashboard
List charts on Apache Superset
Lists all charts (slices) in Superset
List dashboards on Apache Superset
Lists all available dashboards in Apache Superset
List databases on Apache Superset
Lists connected data source connections
List datasets on Apache Superset
Lists all datasets available for analysis
How Vinkius protects your data
Are dashboard access permissions enforced when using the MCP server?
Yes. All requests are authenticated with your SUPERSET_ACCESS_TOKEN, so only the dashboards, charts, and datasets your token has access to will be visible to the AI.
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.
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.
What can AI Agents do with Apache Superset?
The Apache Superset integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Connecting data visualization with Cursor
Integrate data visualization features into your LLM framework using Apache Superset. The MCP server ensures precise command execution across your brain trust stack.
Automating sql lab with AI
Connect the Apache Superset server to enable sql lab workflows. The integration provides structured schemas for Claude to mutate brain trust data.
Apache Superset. 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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