lightdash-mcp-server
by syucream
A MCP(Model Context Protocol) server that accesses to Lightdash
What is lightdash-mcp-server
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.
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
Leave a Comment
Comments section will be available soon. Stay tuned!
Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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