How do I obtain a Lightdash token?
Go to **Settings** → **Personal Access Tokens** in your Lightdash instance, click **Generate new token**, and copy the token (starts with `ldt_`).
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Basic information
MCP server for Lightdash analytics platform. Enables AI assistants like Claude to discover data, execute queries, create charts, and manage dashboards programmatically. Supports Lightdash Cloud and self-hosted instances.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"lightdash": {
"command": "uvx",
"args": [
"lightdash-mcp"
],
"env": {
"LIGHTDASH_TOKEN": "<YOUR_TOKEN>",
"LIGHTDASH_URL": "https://app.lightdash.cloud"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Lightdash Mcp is a Model Context Protocol (MCP) server that connects AI assistants like Claude and Cursor to Lightdash analytics. It enables LLMs to discover data, create charts, and manage dashboards programmatically.
Install via pip install lightdash-mcp, uvx lightdash-mcp, or pipx run lightdash-mcp. Set environment variables LIGHTDASH_TOKEN and LIGHTDASH_URL, then run lightdash-mcp. Optionally configure Cloudflare Access or Google Cloud IAP. Add the server to MCP clients (e.g., Claude Desktop) by providing the command and environment variables.
Go to **Settings** → **Personal Access Tokens** in your Lightdash instance, click **Generate new token**, and copy the token (starts with `ldt_`).
Python 3.10+, a Lightdash instance (Cloud or self-hosted), and a Lightdash Personal Access Token.
Verify your `LIGHTDASH_TOKEN` is correct and starts with `ldt_`, check the token hasn’t expired, and ensure you have the necessary permissions in Lightdash.
Install with the `[iap]` extra (`pip install lightdash-mcp[iap]`), set `IAP_ENABLED=true`, and ensure the runtime service account has `roles/iam.serviceAccountTokenCreator` on itself and `roles/iap.httpsResourceAccessor` on the Cloud Run service.
Create a new Python file in `lightdash_mcp/tools/` with a `TOOL_DEFINITION` and a `run` function. The server automatically discovers and registers the tool on restart.
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