lightdash-mcp-server
by syucream
This server provides MCP-compatible access to Lightdash's API, allowing AI assistants to interact with your Lightdash data through a standardized interface. It's a Model Context Protocol (MCP) server that accesses Lightdash.
View on GitHub
Last updated: N/A
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.
<a href="https://glama.ai/mcp/servers/e1gbb6sflq"> <img width="380" height="200" src="https://glama.ai/mcp/servers/e1gbb6sflq/badge" alt="Lightdash Server MCP server" /> </a>Features
Available tools:
list_projects
- List all projects in the Lightdash organizationget_project
- Get details of a specific projectlist_spaces
- List all spaces in a projectlist_charts
- List all charts in a projectlist_dashboards
- List all dashboards in a projectget_custom_metrics
- Get custom metrics for a projectget_catalog
- Get catalog for a projectget_metrics_catalog
- Get metrics catalog for a projectget_charts_as_code
- Get charts as code for a projectget_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:
npx -y @smithery/cli install lightdash-mcp-server --client claude
Manual Installation
npm install lightdash-mcp-server
Configuration
LIGHTDASH_API_KEY
: Your Lightdash PATLIGHTDASH_API_URL
: The API base URL
Usage
- Start the MCP server.
Directly:
npx lightdash-mcp-server
Or, run the installed module with node.
- Edit your MCP configuration json:
...
"lightdash": {
"command": "npx",
"args": [
"-y",
"lightdash-mcp-server"
],
"env": {
"LIGHTDASH_API_KEY": "<your PAT>",
"LIGHTDASH_API_URL": "https://<your base url>"
}
},
...
Development
Available Scripts
npm run dev
- Start the server in development mode with hot reloadingnpm run build
- Build the project for productionnpm run start
- Start the production servernpm run lint
- Run linting checks (ESLint and Prettier)npm run fix
- Automatically fix linting issuesnpm run examples
- Run the example scripts
Contributing
- Fork the repository
- Create your feature branch
- Run tests and linting:
npm run lint
- Commit your changes
- Push to the branch
- Create a Pull Request