Integrate Metabase (Business Intelligence & Analytics) with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet card on Metabase (Business Intelligence & Analytics)
Fetch explicit mapping logic behind a specific BI Card
Get dashboard on Metabase (Business Intelligence & Analytics)
Get comprehensive Metabase Dashboard layout matrices
List cards on Metabase (Business Intelligence & Analytics)
Returns heavy lists. List raw questions (cards) parsed inside Metabase
List collections on Metabase (Business Intelligence & Analytics)
List structural BI Collections (folders)
List dashboards on Metabase (Business Intelligence & Analytics)
List dashboards mapped in the Metabase BI platform
List databases on Metabase (Business Intelligence & Analytics)
List physical Database integrations parsed by Metabase
Search content on Metabase (Business Intelligence & Analytics)
Search global reporting entities across Metabase
Security & Code Integrity Audit
Every tool in the Metabase (Business Intelligence & Analytics) MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
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.
Does this work with self-hosted Metabase instances?
Yes. You just need to provide your full Metabase Base URL (e.g., http://metabase.your-domain.com). Your agent will connect securely to your private instance using your API Key.
How Chatbots Interact with Metabase (Business Intelligence & Analytics)
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Metabase (Business Intelligence & Analytics) infrastructure.
Connecting data visualization with Cursor
Integrate data visualization features into your LLM framework using Metabase (Business Intelligence & Analytics). The MCP server ensures precise command execution across your brain trust stack.
Execute sql queries Commands with AI
The Metabase (Business Intelligence & Analytics) MCP translates LLM intent into specific sql queries actions. Agents like Cursor use this to interface securely with your brain trust infrastructure.
Metabase (Business Intelligence & Analytics). 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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