What runtime does lightdash-mcp-server require?
It requires Node.js and npm. The server is run via `npx` or as a local install.
@MCP-Mirror
基本情報
Mirror of
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": {
"syucream_lightdash-mcp-server": {
"command": "npx",
"args": [
"lightdash-mcp-server"
]
}
}
}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。
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.
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.
It requires Node.js and npm. The server is run via `npx` or as a local install.
Set the environment variables `LIGHTDASH_API_KEY` and `LIGHTDASH_API_URL` (default `https://app.lightdash.cloud/api/v1`) in a `.env` file.
No—it acts as a proxy, making requests to the Lightdash API on behalf of the AI assistant. No data is stored locally.
It uses the standard MCP transport (stdio) for communication with the AI client.
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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