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

Built by Vinkius GDPR 7 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Metabase (Business Intelligence & Analytics) through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token — get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Metabase (Business Intelligence & Analytics), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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.

The Vercel AI SDK gives every Metabase (Business Intelligence & Analytics) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI SDK 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 Vercel AI SDK via MCP

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

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

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

04

Explore tools

The SDK discovers 7 tools from Metabase (Business Intelligence & Analytics) and passes them to the LLM

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

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

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Metabase (Business Intelligence & Analytics) integration everywhere

03

Built-in streaming UI primitives let you display Metabase (Business Intelligence & Analytics) tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Metabase (Business Intelligence & Analytics) + Vercel AI SDK Use Cases

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

01

AI-powered web apps: build dashboards that query Metabase (Business Intelligence & Analytics) in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Metabase (Business Intelligence & Analytics) tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Metabase (Business Intelligence & Analytics) capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Metabase (Business Intelligence & Analytics) through natural language queries

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

These 7 tools become available when you connect Metabase (Business Intelligence & Analytics) to Vercel AI SDK 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 Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Metabase (Business Intelligence & Analytics) + Vercel AI SDK FAQ

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

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Metabase (Business Intelligence & Analytics) to Vercel AI SDK

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