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:

Manual Installation

Configuration

Create a .env file with your Lightdash API credentials:

Usage

1. Start the MCP server.

Directly:

Or, run the installed module with node.

2. Edit your MCP configuration json:

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