Lightdash MCP Server
Lightdash MCP Server provides a standardized MCP interface to interact with Lightdash's analytics data, enabling AI assistants and tools to retrieve projects, dashboards, charts, metrics, and catalogs seamlessly through a consistent protocol.
Added on:
Created by:
Mar 26 2025
Lightdash MCP Server provides a standardized MCP interface to interact with Lightdash's analytics data, enabling AI assistants and tools to retrieve projects, dashboards, charts, metrics, and catalogs seamlessly through a consistent protocol.
Added on:
Created by:
Mar 26 2025
Ryo Okubo
Featured
What is Lightdash MCP Server?
This MCP (Model Context Protocol) server acts as an intermediary that allows automated systems and AI assistants to access Lightdash's data and metadata through a uniform API. It supports functionalities like listing projects, retrieving project details, listing spaces, charts, dashboards, and fetching custom metrics and catalogs. By offering MCP-compatible access, it simplifies data integration and automation workflows in data analytics environments, enabling efficient data retrieval, manipulation, and management in Lightdash-enabled projects.
Who will use Lightdash MCP Server?
- Data Analysts
- Business Intelligence Teams
- AI and Automation Developers
- Data Engineers
- Lightdash Users
How to use the Lightdash MCP Server?
- Step 1: Install the MCP server via npm or Smithery.
- Step 2: Configure the server with your Lightdash API key and URL.
- Step 3: Start the MCP server using command line or integration tools.
- Step 4: Use MCP-compatible clients or scripts to interact with Lightdash data through the server’s API.
- Step 5: Retrieve project, dashboard, chart, or metadata information as needed.
Lightdash MCP Server's Core Features & Benefits
The Core Features
- list_projects
- get_project
- list_spaces
- list_charts
- list_dashboards
- get_custom_metrics
- get_catalog
- get_metrics_catalog
- get_charts_as_code
- get_dashboards_as_code
The Benefits
- Enables seamless automated and programmatic access to Lightdash data.
- Supports integration with AI assistants for enhanced analytics workflows.
- Provides a consistent API for various Lightdash operations, simplifying data management.
- Facilitates efficient data retrieval and management in analytics environments.
Lightdash MCP Server's Main Use Cases & Applications
- Automating report generation from Lightdash dashboards.
- Integrating Lightdash analytics into AI-driven decision support systems.
- Building custom data retrieval workflows for business intelligence tools.
- Managing Lightdash projects, charts, and metrics programmatically.
FAQs of Lightdash MCP Server
Developer
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