広告掲載
MCP.so
ログイン

Lightdash MCP Server

@MCP-Mirror

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

MCP-Mirror

Lightdash MCP Server について

Mirror of

#lightdash#mcp-server#api-access

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

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?

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

よくある質問

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.

コメント

「その他」の他のコンテンツ

Maestro

mobile-dev-inc

Painless E2E Automation for Mobile and Web

14.8K

Lemon.io

lemon-io

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

YOUB

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K
P

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

広告掲載