How to Use the Metabase (Business Intelligence & Analytics) MCP in Mastra AI

Q: How do I trigger alerts for Metabase (Business Intelligence & Analytics) cards in Mastra AI?

You set up a workflow that periodically calls getcard to check the metric status. If the value falls outside your range, the Mastra AI agent initiates your alert sequence.

Q: Can I use Mastra AI to map my Metabase (Business Intelligence & Analytics) databases?

Yes, the listdatabases tool returns the full list of your connected data sources. Your agent uses this to provide context for cross-database reporting tasks.

Q: What is the best way to list dashboard cards?

Use the listcards tool to get the full inventory of questions. You can filter these results in your agent logic to find specific reports.

Build automated BI workflows in Mastra AI using your Metabase (Business Intelligence & Analytics) data.

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Connect Metabase (Business Intelligence & Analytics) MCP to Mastra AI

Create your Vinkius account to connect Metabase (Business Intelligence & Analytics) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Metabase (Business Intelligence & Analytics) with Mastra AI

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Automated report auditing

Create agent workflows that check your BI health automatically. Use `list_databases` to see what is currently connected and `list_cards` to verify that your critical metrics are still active. If a query fails or a dashboard goes stale, your agent triggers a notification. This catches reporting errors before your executives see them.

Conditional data pipelines

Branch your logic based on the results of your BI queries. Your Mastra AI agent calls `get_card` to check a specific metric and decides whether to alert the team or run a secondary analysis. This creates a self-healing loop for your reporting. You define the thresholds, and the agent handles the rest of the monitoring.

Structural BI management

Organize your reporting by mapping out your folders with `list_collections`. Your agents use this structure to categorize new data requests or clean up outdated dashboard links. It turns your BI instance into a managed asset. You maintain control over your data environment without manual intervention.

Setup guide

Set up Metabase (Business Intelligence & Analytics) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Metabase (Business Intelligence & Analytics) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "metabase-business-intelligence-analytics-mcp-client",
  servers: {
    "metabase-business-intelligence-analytics-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Metabase (Business Intelligence & Analytics) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Metabase (Business Intelligence & Analytics) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Metabase (Business Intelligence & Analytics) transactions"
);
console.log(result.text);

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Common questions about Metabase (Business Intelligence & Analytics) MCP in Mastra AI

You set up a workflow that periodically calls `get_card` to check the metric status. If the value falls outside your range, the Mastra AI agent initiates your alert sequence.

Yes, the `list_databases` tool returns the full list of your connected data sources. Your agent uses this to provide context for cross-database reporting tasks.

You configure retry policies directly in your agent's tool definitions. If a request to the BI platform times out, the framework automatically handles the backoff.

Use the `list_cards` tool to get the full inventory of questions. You can filter these results in your agent logic to find specific reports.

The server acts as a pass-through for your BI requests. It does not store your dashboard content, and your data stays within your controlled environment.

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