lightdash
Agentic BI. Analytics at the speed of code ⚡️
The Lightdash MCP server enables AI agents to build and manage business intelligence artifacts through a governed context layer. It allows coding agents to create metrics, dashboards, charts, and data apps while respecting permissions and business logic defined in your warehouse. Agents can preview changes, validate analytics projects, and work through standard Git workflows, treating BI development like software engineering with version control and CI/CD integration.
Key Features
Use Cases
- 01Building dashboards and metrics through conversational AI agent prompts
- 02Validating analytics changes in CI pipelines before merging to production
- 03Creating custom data apps and reports from natural language descriptions
- 04Maintaining governed business metrics across multiple consumption channels
- 05Previewing dashboard changes in development branches before deployment
- 06Enabling non-technical users to query data while respecting governance policies
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lightdash — FAQ
What is the Lightdash MCP server?+
The Lightdash MCP server is a Model Context Protocol integration that enables AI coding agents to build, modify, and validate business intelligence artifacts like dashboards, metrics, and charts while respecting governance rules and permissions defined in your data warehouse.
How do I install the Lightdash MCP server?+
Install the Lightdash CLI globally via npm, then configure your MCP client (like Claude Desktop) to connect to the Lightdash MCP server. You can also install agent skills directly using the 'lightdash install-skills' command for coding agent integration.
Which AI clients work with the Lightdash MCP server?+
The Lightdash MCP server works with any MCP-compatible client including Claude Desktop and coding agents that support the Model Context Protocol. It also provides dedicated skills for coding agents and a CLI for terminal-based workflows.
Do I need API keys or a Lightdash account?+
You need either a Lightdash Cloud account or a self-hosted Lightdash instance connected to your data warehouse. Data warehouse credentials are required to query your analytics layer, and you'll need appropriate permissions configured in Lightdash.
Is the Lightdash MCP server free to use?+
The core Lightdash platform is open source and free to self-host. Lightdash Cloud offers a hosted option with managed infrastructure, and enterprise features for both cloud and self-hosted deployments require a commercial license.
What data warehouses does Lightdash support?+
Lightdash supports BigQuery, Snowflake, Redshift, Databricks, Postgres, Trino, ClickHouse, and other major data warehouses through its adapter architecture.
How do I install lightdash?+
Open the source repository on GitHub and follow its README. lightdash is a mcp server — MCP Agents Market links you directly to the official repo.
Is lightdash free?+
lightdash is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.