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Metabase MCP Server

@cuenca-mx

代码仓库

基本信息

分类

数据与分析

许可证

MIT license

传输方式

stdio

作者

cuenca-mx

关于 Metabase MCP Server

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

#metabase#mcp-server#api-integration

Metabase MCP Server 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-server-cuenca-mx": {
      "command": "uv",
      "args": [
        "run",
        "pytest"
      ]
    }
  }
}

Metabase MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 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.

常见问题

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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