Lightdash MCP Server

by syucream

Integrations

  • Used for configuration management by storing Lightdash API credentials in environment variables.

  • Provides code linting functionality for development and contributing to the project.

  • Used for package installation, dependency management, and running scripts for the server.

lightdash-mcp-server

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

This server provides MCP-compatible access to Lightdash's API, allowing AI assistants to interact with your Lightdash data through a standardized interface.

Features

Available tools:

  • list_projects - List all projects in the Lightdash organization
  • get_project - Get details of a specific project
  • list_spaces - List all spaces in a project
  • list_charts - List all charts in a project
  • list_dashboards - List all dashboards in a project
  • get_custom_metrics - Get custom metrics for a project
  • get_catalog - Get catalog for a project
  • get_metrics_catalog - Get metrics catalog for a project
  • get_charts_as_code - Get charts as code for a project
  • get_dashboards_as_code - Get dashboards as code for a project

Quick Start

Installation

Installing via Smithery

To install Lightdash MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install lightdash-mcp-server --client claude
Manual Installation
npm install lightdash-mcp-server

Configuration

Create a .env file with your Lightdash API credentials:

LIGHTDASH_API_KEY=your_api_key LIGHTDASH_API_URL=https://app.lightdash.cloud # or your custom Lightdash instance URL

Usage

  1. Start the MCP server.

Directly:

npx lightdash-mcp-server

Or, run the installed module with node.

  1. Edit your MCP configuration json:
... "lightdash": { "command": "npx", "args": [ "-y", "lightdash-mcp-server" ], "env": { "LIGHTDASH_API_KEY": "<your PAT>", "LIGHTDASH_API_URL": "https://<your base url>" } }, ...

Development

Available Scripts

  • npm run dev - Start the server in development mode with hot reloading
  • npm run build - Build the project for production
  • npm run start - Start the production server
  • npm run lint - Run linting checks (ESLint and Prettier)
  • npm run fix - Automatically fix linting issues
  • npm run examples - Run the example scripts

Contributing

  1. Fork the repository
  2. Create your feature branch
  3. Run tests and linting: npm run lint
  4. Commit your changes
  5. Push to the branch
  6. Create a Pull Request

You must be authenticated.

A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

MCP-compatible server that enables AI assistants to interact with Lightdash analytics data, providing tools to list and retrieve projects, spaces, charts, dashboards, and metrics through a standardized interface.

  1. Features
    1. Quick Start
      1. Installation
      2. Configuration
      3. Usage
    2. Development
      1. Available Scripts
      2. Contributing

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