Lightdash MCP Server

Example Use Cases

• 1

  Explore and understand Lightdash data schemas and projects.

• 2

  Create, update, and manage charts and dashboards programmatically.

• 3

  Execute complex queries and retrieve analytics data from Lightdash.

Description

This MCP server allows large language models to discover data catalogs, execute queries, and manage charts and dashboards within Lightdash using the Model Context Protocol. It supports full data analytics workflows including resource organization and advanced visualization management. The server integrates with AI assistants like Claude and Cursor to enhance data-driven decision making.