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Lightdash MCP Server

@syucream

代码仓库主页

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

syucream

关于 Lightdash MCP Server

A MCP(Model Context Protocol) server that accesses to Lightdash

#mcp#lightdash#model-context-protocol#mcp-servers

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": {
    "lightdash-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "lightdash-mcp-server",
        "--client",
        "claude"
      ]
    }
  }
}

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?

An MCP (Model Context Protocol) server that provides standardized access to the Lightdash API, enabling AI assistants to interact with Lightdash projects, spaces, charts, dashboards, and metadata.

How to use lightdash-mcp-server?

Install via npm install lightdash-mcp-server or using Smithery (npx -y @smithery/cli install lightdash-mcp-server --client claude). Set the LIGHTDASH_API_KEY and LIGHTDASH_API_URL environment variables. Start the server with npx lightdash-mcp-server for Stdio transport or npx lightdash-mcp-server -port 8080 for HTTP transport. Configure your MCP client with the appropriate command/args or URL.

Key features of lightdash-mcp-server?

  • List, get, and explore projects in your Lightdash organization
  • List spaces, charts, and dashboards within a project
  • Retrieve custom metrics, catalog, and metrics catalog
  • Export charts and dashboards as code
  • Supports both Stdio and Streamable HTTP transports

Use cases of lightdash-mcp-server?

  • AI assistant querying project structures and available data assets
  • Automating retrieval of dashboard definitions and chart metadata
  • Inspecting metrics catalog for analytics and reporting
  • Fetching charts and dashboards as code for version control or CI/CD
  • Enabling conversational interfaces to explore Lightdash resources

常见问题

1

What environment variables are required?

`LIGHTDASH_API_KEY` (your Lightdash personal access token) and `LIGHT

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