Question 1

What is an MCP Server?

Accepted Answer

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs (Large Language Models). An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools, such as Metabase.

Question 2

What is the Metabase MCP Server?

Accepted Answer

The Metabase MCP Server provides integration with the Metabase API, enabling LLMs to directly interact with your analytics data. It acts as a bridge between your analytics platform and conversational AI.

Question 3

What are the key features of the Metabase MCP Server?

Accepted Answer

Key features include resource access via `metabase://` URIs, support for session-based and API key authentication, JSON-formatted responses, comprehensive logging, and robust error handling.

Question 4

What tools are available for AI assistants through the Metabase MCP Server?

Accepted Answer

Available tools include data access tools (e.g., `list_dashboards`, `list_tables`), execution tools (e.g., `execute_card`, `execute_query`), and dashboard/collection management tools (e.g., `create_dashboard`, `create_collection`).

Question 5

How do I install the Metabase MCP Server?

Accepted Answer

The server requires Node.js 18.0.0 or higher and an active Metabase instance. You can install dependencies using `npm install`, build the project with `npm run build`, and start the server with `npm start`. Refer to the documentation for detailed instructions, including Claude Desktop integration.

Question 6

What are the authentication options for the Metabase MCP Server?

Accepted Answer

The server supports two authentication methods: username and password authentication, and API key authentication (recommended for production).

Question 7

How can I debug the Metabase MCP Server?

Accepted Answer

You can use the MCP Inspector for debugging, which provides a browser-based interface for monitoring requests and responses. Run `npm run inspector` to start the Inspector.

Question 8

Is Docker supported?

Accepted Answer

Yes, a Docker image is available for containerized deployment. You can build the image using `docker build -t metabase-mcp .` and run the container with appropriate environment variables.

Question 9

What security considerations should I keep in mind?

Accepted Answer

It's recommended to use API key authentication for production, keep your API keys and credentials secure, and apply appropriate network security measures to restrict access to your Metabase instance.

Question 10

Where can I find the UBOS Asset Marketplace?

Accepted Answer

The UBOS Asset Marketplace is integrated within the UBOS platform. Contact UBOS support or sales for access and details.

Question 11

How does the Metabase MCP server relate to UBOS?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform. The Metabase MCP server is an asset in the UBOS Asset Marketplace that allows you to connect AI Agents with your Metabase data.

Question 12

What are the prerequisites for using the Metabase MCP Server?

Accepted Answer

You will need an active Metabase instance with appropriate credentials, Node.js 18.0.0 or higher for local development, and access to the UBOS platform if you intend to deploy it through UBOS.

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