Model Context Protocol (MCP) server for Lightdash analytics platform
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# Lightdash MCP Server [](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) [](https://modelcontextprotocol.io/) [](https://pypi.org/project/lightdash-mcp/) [](https://github.com/poddubnyoleg/lightdash_mcp/stargazers) > Connect Claude, Cursor, and other AI assistants to your Lightdash analytics using the Model Context Protocol (MCP). 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 pip (Recommended) ```bash pip install lightdash-mcp ``` ### Quick Start with uvx ```bash uvx lightdash-mcp ``` ### Quick Start with pipx ```bash pipx run lightdash-mcp ``` ### Install from Source ```bash git clone https://github.com/poddubnyoleg/lightdash_mcp.git cd lightdash_mcp pip install . ``` ### Google Cloud IAP Support If your Lightdash instance is …
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