Metabase MCP Server

Name: Metabase MCP Server
Author: cheukyin175

@cheukyin175

关于 Metabase MCP Server

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.

基本信息

分类

数据与分析

许可证

MIT

运行时

python

传输方式

stdio

发布者

cheukyin175

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

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