Metabase FAQs

Question 1

What are the prerequisites for using the Metabase MCP Server?

Accepted Answer

You need a Metabase instance (v0.46.0 or higher recommended), a Metabase API key with appropriate permissions, Docker (for containerized deployment), and Python 3.10+ (for local development).

Question 2

What is the Metabase MCP Server?

Accepted Answer

The Metabase MCP Server allows AI assistants to interact with Metabase databases and actions using the Model Control Protocol (MCP). It bridges the gap between AI models and your Metabase data.

Question 3

What security measures are in place?

Accepted Answer

The server stores API keys encrypted at rest and never displays them in plain text in the web interface. It uses HTTPS when configured with a secure Metabase URL and should be deployed behind a secure proxy in production.

Question 4

What can I do with the Metabase MCP Server?

Accepted Answer

You can enable AI assistants to list databases, retrieve schema information, visualize database relationships, manage and execute Metabase actions, and perform other operations on your data through a secure API.

Question 5

How do I install and configure the Metabase MCP Server?

Accepted Answer

The recommended installation method is using Docker. Alternatively, you can install it manually using Python. After installation, you'll need to configure it with your Metabase URL and API key through the web interface.

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