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Metabase MCP Server

@cheukyin175

リポジトリ

Metabase MCP Server について

Metabase MCP server provides integration with the Metabase API, enabling LLM with MCP capabilites to directly interact with your analytics data, this server acts as a bridge between your analytics platform and conversational AI.

基本情報

カテゴリ

データと分析

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

cheukyin175

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": {
      "command": "uvx",
      "args": [
        "metabase-mcp"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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?

A Model Context Protocol (MCP) server that connects AI assistants like Claude, Cursor, and other MCP clients to a Metabase instance. It enables querying databases, executing SQL, managing dashboards, and automating analytics workflows through natural language. Designed for data analysts, developers, and teams integrating AI with Metabase business intelligence.

How to use Metabase MCP?

Install via uvx metabase-mcp (no installation required) or pip install metabase-mcp. Configure a .env file with Metabase credentials (API key or email/password). Run the server with uvx metabase-mcp or from source using uv run python server.py. Additional transport options: --sse for SSE, --http for HTTP.

Key features of Metabase MCP

  • List databases, explore tables, and inspect fields with metadata
  • Execute native SQL queries with parameter support and templating
  • Execute MongoDB queries with automatic JSON conversion
  • Run, create, and manage Metabase cards/questions
  • Create and organize collections for better data organization
  • Secure authentication via API keys or email/password

Use cases of Metabase MCP

  • Let AI assistants query Metabase databases using plain English
  • Automate the creation and organization of Metabase cards and collections
  • Use AI for data exploration and insight discovery
  • Get AI help writing and optimizing SQL queries
  • Integrate AI-powered analytics into development workflows

FAQ from Metabase MCP

How does Metabase MCP authenticate with Metabase?

It supports API key authentication (recommended) or email/password authentication, configured via environment variables in a .env file.

What Python version is required?

Python 3.12+ is required.

Does it support MongoDB queries?

Yes, the server can execute native MongoDB queries with automatic JSON conversion for aggregation pipelines.

What transport methods are available?

STDIO (default for IDE integration), SSE (Server-Sent Events), and HTTP (standard HTTP for API access).

Can I run the server without installing it?

Yes, using uvx metabase-mcp runs the server directly without a permanent installation.

コメント

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