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4 changes: 3 additions & 1 deletion references/integrations/lightdash-mcp.mdx
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Expand Up @@ -227,8 +227,10 @@ If you're building your own agents or automated workflows, you can integrate dir

- **Transport**: Lightdash MCP exposes a StreamableHTTP transport endpoint at `https://<your_instance_name>.lightdash.cloud/api/v1/mcp`
- **Debugging**: Use `@modelcontextprotocol/inspector` to inspect and debug the MCP connection
- **Authentication**: Requires OAuth 2.0 flow for secure authentication
- **Authentication**: For interactive setups use OAuth 2.0. For headless agents and automated workflows, you can authenticate with a Personal Access Token by passing `Authorization: ApiKey <token>` instead. Create the token under **Settings → Personal access tokens** for the user whose permissions and attributes you want the integration to use. Service account tokens are also supported on plans that include them.
- **Documentation**: See the [MCP specification](https://modelcontextprotocol.io/docs) for implementation details
- **Pin a project (optional)**: pass `X-Lightdash-Project: <project-uuid>` to scope the MCP session to a specific project, skipping the `set_project` step.
- **Override user attributes per request (optional)**: pass `X-Lightdash-User-Attributes: <json>` to override the authenticated user's attributes for that request (useful for row-level security when an agent acts on behalf of different end-users).

{/*<Accordion title="Example: Inspecting the MCP endpoint">

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