dbt-mcp and dremio-mcp
These are complements: dbt transforms and models data within a warehouse while Dremio virtualizes and catalogs data across distributed sources, so they're typically used together in a modern data stack where dbt handles transformation logic and Dremio handles data discovery and virtualization.
About dbt-mcp
dbt-labs/dbt-mcp
A MCP (Model Context Protocol) server for interacting with dbt.
This server helps data professionals interact with their dbt projects using AI agents. It takes natural language queries or commands and translates them into actions or information from your dbt Core, dbt Fusion, or dbt Platform environment. Data analysts, data engineers, or analytics engineers can use this to automate data modeling tasks, query metrics, or manage dbt jobs through conversational interfaces.
About dremio-mcp
dremio/dremio-mcp
Dremio MCP server
This project integrates Dremio data with large language models (LLMs) like Claude. It takes your existing Dremio data sources and allows LLMs to interact with them, enabling natural language queries and insights directly from your data. Data analysts, business intelligence users, and data scientists can use this to enhance their data exploration and reporting workflows.
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