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2025-03-27

A MCP(Model Context Protocol) server that accesses to Lightdash

3 years

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lightdash-mcp-server

smithery badge npm version

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.

Lightdash Server MCP server

Features

Available tools:

  • list_projects - List all projects in the Lightdash organization
  • get_project - Get details of a specific project
  • list_spaces - List all spaces in a project
  • list_charts - List all charts in a project
  • list_dashboards - List all dashboards in a project
  • get_custom_metrics - Get custom metrics for a project
  • get_catalog - Get catalog for a project
  • get_metrics_catalog - Get metrics catalog for a project
  • get_charts_as_code - Get charts as code for a project
  • get_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 PAT
  • LIGHTDASH_API_URL: The API base URL

Usage

  1. Start the MCP server.

Directly:

npx lightdash-mcp-server

Or, run the installed module with node.

  1. 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 reloading
  • npm run build - Build the project for production
  • npm run start - Start the production server
  • npm run lint - Run linting checks (ESLint and Prettier)
  • npm run fix - Automatically fix linting issues
  • npm run examples - Run the example scripts

Contributing

  1. Fork the repository
  2. Create your feature branch
  3. Run tests and linting: npm run lint
  4. Commit your changes
  5. Push to the branch
  6. Create a Pull Request

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    Reviews

    4 (1)
    Avatar
    user_RTDCji15
    2025-04-15

    As a dedicated user of the Vector GraphQL MCP Server by JussCubs, I am thoroughly impressed with its performance and reliability. The server is exceptionally user-friendly and integrates seamlessly with my projects. It provides robust GraphQL support, ensuring real-time data access and manipulation with remarkable efficiency. Highly recommend it!