lightdash-mcp-server

lightdash-mcp-server

3.7

If you are the rightful owner of lightdash-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcpreview.com.

A Model Context Protocol (MCP) server that provides access to Lightdash's API, enabling AI assistants to interact with Lightdash data through a standardized interface.

The Lightdash MCP Server is designed to facilitate seamless interaction between AI assistants and Lightdash data by providing a standardized MCP-compatible interface. This server allows users to access various functionalities of Lightdash, such as listing projects, spaces, charts, and dashboards, as well as retrieving custom metrics and catalogs. It supports two transport modes: Stdio and HTTP, making it versatile for different deployment scenarios. The server can be installed via Smithery or manually using npm, and it requires configuration of environment variables for API access. The Lightdash MCP Server is ideal for developers looking to integrate Lightdash data into their AI applications efficiently.

Features

  • List all projects, spaces, charts, and dashboards in a Lightdash organization.
  • Retrieve details of specific projects and custom metrics.
  • Access project catalogs and metrics catalogs.
  • Get charts and dashboards as code for easy integration.
  • Supports both Stdio and HTTP transport modes for flexible deployment.

Tools

  1. list_projects

    List all projects in your Lightdash organization

  2. get_project

    Get detailed information about a specific project

  3. list_spaces

    List all spaces in the project

  4. list_charts

    List all charts in the project

  5. list_dashboards

    List all dashboards in the project

  6. get_custom_metrics

    Get custom metrics for projects

  7. get_catalog

    Get the directory information of the project

  8. get_metrics_catalog

    Get the project's metrics directory

  9. get_charts_as_code

    Get a chart of the project in code

  10. get_dashboards_as_code

    Get the dashboard for the project in code