How to Use the Metabase (Business Intelligence & Analytics) MCP in Google ADK

Q: How do I set up Metabase (Business Intelligence & Analytics) tools inside Google ADK?

Install google-adk and define McpToolset with your Vinkius HTTP endpoint. Pass this toolset directly into your LlmAgent constructor to expose tools like listdashboards to Gemini.

Q: Can Gemini models in Google ADK search Metabase (Business Intelligence & Analytics) content?

Yes, your agent can call searchcontent to scan across all dashboards, cards, and collections. Gemini's massive context window easily processes these search results to locate the exact report you need.

Q: How do I restrict which Metabase (Business Intelligence & Analytics) tools Google ADK can access?

You can use the optional toolnames filter in your McpToolset configuration. This restricts the agent to specific tools, such as allowing only listcards and blocking direct database listing tools.

Feed live Metabase BI structures directly into Google ADK to run deep analysis with Gemini.

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Connect Metabase (Business Intelligence & Analytics) MCP to Google ADK

Create your Vinkius account to connect Metabase (Business Intelligence & Analytics) to Google ADK 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 Google ADK

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Feed BigQuery metadata to Gemini via Google ADK

The `list_databases` tool exposes physical database connections managed by Metabase to your Google ADK pipelines. This lets your Gemini agent see how your BigQuery datasets are mapped inside your Metabase BI platform without manual configuration. By combining this with `list_collections`, your Google ADK agent maps out the organizational folders where your team stores key Metabase reports. The agent can then cross-reference these Metabase folders with Vertex AI models to find relevant data tables.

Analyze visual card structures in Google ADK

The `list_cards` tool pulls heavy lists of raw questions parsed inside your Metabase instance. Your Google ADK agent uses this inventory to understand what metrics your business already tracks before running new Gemini reasoning loops. When the Google ADK agent finds a relevant question, it uses `get_card` to pull the underlying Metabase query logic. This allows long-context Gemini models to digest thousands of analytical definitions in a single prompt window.

Map Metabase layouts with this Google ADK MCP Server

The `list_dashboards` tool retrieves a clean inventory of all active dashboards mapped in Metabase. Your Google ADK workflow uses this MCP Server to let Gemini scan for executive Metabase dashboards before pulling layout matrices. Once target dashboards are identified, the Google ADK agent calls `get_dashboard` to inspect how visual Metabase cards are arranged. This lets your Gemini agent generate automated summaries of complex Metabase layouts, matching your BI structures with cloud-hosted files.

Setup guide

Set up Metabase (Business Intelligence & Analytics) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Metabase (Business Intelligence & Analytics) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Metabase (Business Intelligence & Analytics)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Metabase (Business Intelligence & Analytics) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Metabase (Business Intelligence & Analytics) MCP in Google ADK

Install `google-adk` and define `McpToolset` with your Vinkius HTTP endpoint. Pass this toolset directly into your `LlmAgent` constructor to expose tools like `list_dashboards` to Gemini.

Yes, your agent can call `search_content` to scan across all dashboards, cards, and collections. Gemini's massive context window easily processes these search results to locate the exact report you need.

You can use the optional `tool_names` filter in your `McpToolset` configuration. This restricts the agent to specific tools, such as allowing only `list_cards` and blocking direct database listing tools.

Yes, this MCP Server works with both Stdio and Streamable HTTP transports. You can run it locally or connect to the managed Vinkius hosting endpoint directly from your Google Cloud environment.

The MCP Server runs in an isolated, zero-trust environment on Vinkius. Your visual card configurations, dashboard layouts, and folder schemas are transmitted via encrypted HTTPS channels and are never stored on disk.

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