How do I install the lightdash mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `LIGHTDASH_API_KEY`, `LIGHTDASH_API_URL` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Lightdash MCP Server

A MCP(Model Context Protocol) server that accesses to lightdash( https://www.lightdash.com/ )

Local serverstdio

What is the Lightdash MCP Server?

A MCP(Model Context Protocol) server that accesses to lightdash( https://www.lightdash.com/ )

The short version

This server provides MCP-compatible access to Lightdash's API, allowing AI assistants to interact with your Lightdash data through a standardized interface.

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

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Configuration

Variable	Description	Required
LIGHTDASH_API_KEY	Credential the server authenticates with.	Yes
LIGHTDASH_API_URL	Endpoint or connection string the server talks to.	Yes

Example prompts to try

“Use Lightdash to Installation.”
“Use Lightdash to Configuration.”
“Use Lightdash to Usage.”

Frequently asked questions

A MCP(Model Context Protocol) server that accesses to lightdash( https://www.lightdash.com/ ) Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.