lightdash-mcp-server
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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
list_projects
List all projects in your Lightdash organization
get_project
Get detailed information about a specific project
list_spaces
List all spaces in the project
list_charts
List all charts in the project
list_dashboards
List all dashboards in the project
get_custom_metrics
Get custom metrics for projects
get_catalog
Get the directory information of the project
get_metrics_catalog
Get the project's metrics directory
get_charts_as_code
Get a chart of the project in code
get_dashboards_as_code
Get the dashboard for the project in code