Metabase (Business Intelligence & Analytics) MCP Server for Mastra AI 7 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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();
* 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.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
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.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Metabase (Business Intelligence & Analytics) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Metabase (Business Intelligence & Analytics) tool response with IDE autocomplete and compile-time checks
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.
Automated workflows: build multi-step agents that query Metabase (Business Intelligence & Analytics), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Metabase (Business Intelligence & Analytics) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Metabase (Business Intelligence & Analytics) on a cron and store results in your database automatically
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:
get_card
Fetch explicit mapping logic behind a specific BI Card
get_dashboard
Get comprehensive Metabase Dashboard layout matrices
list_cards
Returns heavy lists. List raw questions (cards) parsed inside Metabase
list_collections
List structural BI Collections (folders)
list_dashboards
List dashboards mapped in the Metabase BI platform
list_databases
List physical Database integrations parsed by Metabase
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.
"List the last 5 dashboards created in my Metabase instance"
"Search for any Metabase content related to 'Revenue'"
"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.
createMCPClient not exported
npm install @mastra/mcpMetabase (Business Intelligence & Analytics) + Mastra AI FAQ
Common questions about integrating Metabase (Business Intelligence & Analytics) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Metabase (Business Intelligence & Analytics) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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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.
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.
