Lightdash MCP Server

@syucream

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基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

syucream

Lightdash MCP Server について

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

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

Lightdash MCP Server の設定

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

Lightdash MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

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

よくある質問

What environment variables are required?

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

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