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Metabase MCP Server

@cuenca-mx

リポジトリ

基本情報

カテゴリ

データと分析

ライセンス

MIT license

トランスポート

stdio

作者

cuenca-mx

Metabase MCP Server について

A Model Context Protocol server that enables interaction with Metabase via LLMs

#metabase#mcp-server#api-integration

Metabase MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "metabase-mcp-server-cuenca-mx": {
      "command": "uv",
      "args": [
        "run",
        "pytest"
      ]
    }
  }
}

Metabase MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Metabase MCP Server?

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.

How to use Metabase MCP Server?

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.

Key features of Metabase MCP Server

  • List Metabase cards
  • List available databases
  • Execute queries on existing cards
  • Run arbitrary queries
  • Create new cards
  • Create bookmarks and list collections

Use cases of Metabase MCP Server

  • Allow an AI assistant to retrieve and present data from Metabase cards.
  • Let users run ad‑hoc queries on Metabase databases via natural language.
  • Automate the creation of new cards and bookmarks in Metabase.
  • Explore and browse collections and database schemas without leaving the chat interface.

よくある質問

1

What are the runtime requirements?

Python 3.12 or higher and the `uv` package manager.

2

How do I configure authentication?

Set the environment variables `METABASE_URL` (your Metabase instance URL) and `METABASE_API_KEY` (a valid API key) in the MCP server configuration.

3

How can I test or debug the server?

Use the MCP Inspector by running `make dev`, or run unit tests with `uv run pytest`.

4

How do I set up the MCP server in my AI client?

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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