What are the runtime requirements?
Python 3.12 or higher and the `uv` package manager.
@cuenca-mx
Basic information
A Model Context Protocol server that enables interaction with Metabase via LLMs
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"metabase-mcp-server-cuenca-mx": {
"command": "uv",
"args": [
"run",
"pytest"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP server that exposes Metabase API functionality through the Model Context Protocol interface, enabling AI assistants to interact with Metabase cards, databases, collections, and queries. It is designed for users who want to combine Metabase analytics with AI-driven workflows.
Clone the repository and configure your AI assistant client (Claude, Cursor, etc.) with the provided JSON object. Set the command to uv, point directory to the project folder, and supply METABASE_URL and METABASE_API_KEY in the environment variables. The server then exposes tools that your assistant can call.
Python 3.12 or higher and the `uv` package manager.
Set the environment variables `METABASE_URL` (your Metabase instance URL) and `METABASE_API_KEY` (a valid API key) in the MCP server configuration.
Use the MCP Inspector by running `make dev`, or run unit tests with `uv run pytest`.
Add the provided JSON block to your client’s MCP server settings, replacing the absolute path and environment values with your own.

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