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Metabase (Business Intelligence & Analytics) MCP Server for Mastra AI 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Metabase (Business Intelligence & Analytics) through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "metabase-business-intelligence-analytics": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Metabase (Business Intelligence & Analytics) Agent",
    instructions:
      "You help users interact with Metabase (Business Intelligence & Analytics) " +
      "using 7 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Metabase (Business Intelligence & Analytics)?"
  );
  console.log(result.text);
}

main();
Metabase (Business Intelligence & Analytics)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Metabase (Business Intelligence & Analytics) MCP Server

Connect your Metabase instance to any AI agent and take full control of your enterprise business intelligence, data visualizations, and reporting through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Metabase (Business Intelligence & Analytics) tool infrastructure. Connect 7 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

What you can do

  • Dashboard Orchestration — List all managed reporting panels and retrieve detailed layout matrices, including specific card mappings and filter structures directly from your agent
  • Question & Card Audit — Access visual 'Cards' to retrieve the underlying SQL logic or visualization definitions driving your key business metrics securely
  • Global Content Search — Execute cross-platform searches to identify Dashboards, Cards, or Data tables matching specific keywords across your entire Metabase instance
  • Collection Navigation — Explore hierarchical BI Collections (folders) to understand your reporting taxonomy and organizational data boundaries natively
  • Database Inventory — Enumerate physical data warehouse connections and raw table mappings available for querying within your Metabase environment
  • Metadata Inspection — Deep-dive into specific Dashboard or Card IDs to retrieve precise JSON representations and chronological data insights instantly

The Metabase (Business Intelligence & Analytics) MCP Server exposes 7 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

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

Follow these steps to integrate the Metabase (Business Intelligence & Analytics) MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 7 tools from Metabase (Business Intelligence & Analytics) via MCP

Why Use Mastra AI with the Metabase (Business Intelligence & Analytics) MCP Server

Mastra AI provides unique advantages when paired with Metabase (Business Intelligence & Analytics) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Metabase (Business Intelligence & Analytics) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Metabase (Business Intelligence & Analytics) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Metabase (Business Intelligence & Analytics) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Metabase (Business Intelligence & Analytics) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Metabase (Business Intelligence & Analytics), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Metabase (Business Intelligence & Analytics) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Metabase (Business Intelligence & Analytics) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Metabase (Business Intelligence & Analytics) tools alongside other MCP servers

Metabase (Business Intelligence & Analytics) MCP Tools for Mastra AI (7)

These 7 tools become available when you connect Metabase (Business Intelligence & Analytics) to Mastra AI via MCP:

01

get_card

Fetch explicit mapping logic behind a specific BI Card

02

get_dashboard

Get comprehensive Metabase Dashboard layout matrices

03

list_cards

Returns heavy lists. List raw questions (cards) parsed inside Metabase

04

list_collections

List structural BI Collections (folders)

05

list_dashboards

List dashboards mapped in the Metabase BI platform

06

list_databases

List physical Database integrations parsed by Metabase

07

search_content

Search global reporting entities across Metabase

Example Prompts for Metabase (Business Intelligence & Analytics) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Metabase (Business Intelligence & Analytics) immediately.

01

"List the last 5 dashboards created in my Metabase instance"

02

"Search for any Metabase content related to 'Revenue'"

03

"Show me the configuration for card ID '654'"

Troubleshooting Metabase (Business Intelligence & Analytics) MCP Server with Mastra AI

Common issues when connecting Metabase (Business Intelligence & Analytics) to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Metabase (Business Intelligence & Analytics) + Mastra AI FAQ

Common questions about integrating Metabase (Business Intelligence & Analytics) MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Metabase (Business Intelligence & Analytics) to Mastra AI

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.