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Lightdash MCP Server

@MCP-Mirror

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

MCP-Mirror

关于 Lightdash MCP Server

Mirror of

#lightdash#mcp-server#api-access

Lightdash 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": {
    "syucream_lightdash-mcp-server": {
      "command": "npx",
      "args": [
        "lightdash-mcp-server"
      ]
    }
  }
}

Lightdash 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。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is lightdash-mcp-server?

lightdash-mcp-server is an MCP (Model Context Protocol) server that provides AI assistants with standardized access to the Lightdash API. It allows users to explore and retrieve data from their Lightdash projects, including projects, spaces, charts, dashboards, and metrics.

How to use lightdash-mcp-server?

Install the server via npm (npm install lightdash-mcp-server), configure a .env file with your Lightdash API key and API URL, then start the server with npx lightdash-mcp-server. The server exposes tools that can be called by any MCP-compatible AI client.

Key features of lightdash-mcp-server

  • List all projects in your Lightdash organization
  • Retrieve details of a specific project
  • List spaces, charts, and dashboards within a project
  • Get custom metrics and catalog information
  • Export charts and dashboards as code

Use cases of lightdash-mcp-server

  • An AI assistant listing all available projects before querying specific data
  • Automatically fetching chart definitions or dashboard layouts for analysis
  • Retrieving metric catalogs to understand available dimensions and measures
  • Exporting Lightdash content as code for version control or reuse

常见问题

1

What runtime does lightdash-mcp-server require?

It requires Node.js and npm. The server is run via `npx` or as a local install.

2

How do I authenticate with Lightdash?

Set the environment variables `LIGHTDASH_API_KEY` and `LIGHTDASH_API_URL` (default `https://app.lightdash.cloud/api/v1`) in a `.env` file.

3

Does the server store any data?

No—it acts as a proxy, making requests to the Lightdash API on behalf of the AI assistant. No data is stored locally.

4

What transport does lightdash-mcp-server use?

It uses the standard MCP transport (stdio) for communication with the AI client.

5

What are the dependencies?

The server depends on the Lightdash API being accessible and the user providing a valid API key. No external database or other services are required.

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