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.

Can I see the SQL code behind a specific Metabase card through my agent?

Yes. Use the `get_card` tool with a specific Card ID. Your agent will retrieve the complete mapping logic, exposing the underlying SQL query (if it's a SQL question) or the structural query parameters used to generate the visualization.

Can my agent list all databases currently connected to Metabase?

Absolutely. Use the `list_databases` tool to identify all physical data warehouse integrations. Your agent will report the database names, types (e.g., PostgreSQL, Snowflake), and internal IDs available for querying.

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

Name: Metabase (Business Intelligence & Analytics)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 7 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Metabase (Business Intelligence & Analytics) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Metabase (Business Intelligence & Analytics) Assistant",
            instructions=(
                "You help users interact with Metabase (Business Intelligence & Analytics). "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Metabase (Business Intelligence & Analytics)"
        )
        print(result.final_output)

asyncio.run(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.

The OpenAI Agents SDK auto-discovers all 7 tools from Metabase (Business Intelligence & Analytics) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Metabase (Business Intelligence & Analytics), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 7 tools from Metabase (Business Intelligence & Analytics)

Why Use OpenAI Agents SDK with the Metabase (Business Intelligence & Analytics) MCP Server

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

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Metabase (Business Intelligence & Analytics) + OpenAI Agents SDK Use Cases

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

Automated workflows: build agents that query Metabase (Business Intelligence & Analytics), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Metabase (Business Intelligence & Analytics), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Metabase (Business Intelligence & Analytics) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Metabase (Business Intelligence & Analytics) to resolve tickets, look up records, and update statuses without human intervention

Metabase (Business Intelligence & Analytics) MCP Tools for OpenAI Agents SDK (7)

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

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Metabase (Business Intelligence & Analytics) + OpenAI Agents SDK FAQ

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

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.