Model Context Protocol

dbt can now function as a Model Context Protocol (MCP) server, providing a standardized framework that enables users to seamlessly integrate AI applications with their data warehouses. This ensures a consistent and efficient way to connect, access, and utilize data across various AI tools.

The MCP server runs in dbt using a personal access token and is available to all users across Cloud CLI, API, the Discovery API, and Semantic Layer. It provides access to private APIs, text-to-sql, and SQL execution.

Note that access to the Discovery and the Semantic Layer API is limited depending on your plan type.

For more information on MCP, have a look at Get started with the Model Context Protocol (MCP).

Prerequisites

Before using MCP, read the instructions for the dbt-mcp repository.

Further reading

• Refer to our blog on Introducing the dbt MCP Server for more information.