iflow-mcp-lightdash-poddubnyoleg

# Lightdash MCP Server A Model Context Protocol (MCP) server for interacting with [Lightdash](https://www.lightdash.com/), enabling LLMs to discover data, create charts, and manage dashboards programmatically. ## Features This MCP server provides a comprehensive set of tools for the full data analytics workflow: * **Discovery**: Explore data catalogs, find tables/explores, and understand schemas * **Querying**: Execute queries with full filter, metric, and aggregation support * **Chart Management**: Create, read, update, and delete charts with complex visualizations * **Dashboard Management**: Build and manage dashboards with tiles, filters, and layouts * **Resource Organization**: Create and manage spaces for content organization ## Installation ### Prerequisites * Python 3.10+ * A Lightdash instance (Cloud or self-hosted) * Lightdash Personal Access Token (obtain from your Lightdash profile settings) ### Quick Start with uvx (Recommended) The easiest way to use this MCP server is with `uvx`, which will automatically download and run it: ```bash uvx --from git+https://github.com/<owner>/lightdash-mcp lightdash-mcp ``` ### Quick Start with pipx Alternatively, you can use `pipx`: ```bash pipx run --spec git+https://github.com/<owner>/lightdash-mcp lightdash-mcp ``` ### Install from Source ```bash git clone <repository-url> cd lightdash_mcp pip install . ``` ## Configuration ### Environment Variables The server requires the following environment variables: | Variable | Required | Description | Example | | :--- | :---: | :--- | :--- | | `LIGHTDASH_TOKEN` | ✅ | Your Lightdash Personal Access Token | `ldt_abc123...` | | `LIGHTDASH_URL` | ✅ | Base URL of your Lightdash API | `https://app.lightdash.cloud/api/v1` | | `CF_ACCESS_CLIENT_ID` | ❌ | Cloudflare Access Client ID (if behind CF Access) | - | | `CF_ACCESS_CLIENT_SECRET` | ❌ | Cloudflare Access Client Secret (if behind CF Access) | - | ### Getting Your Lightdash Token 1. Log into …