dbt-mcp and mcp-server-bigquery
These are complements: dbt is a transformation tool that orchestrates SQL workflows, while BigQuery is a data warehouse backend, so dbt-mcp would typically use the BigQuery MCP server to interact with BigQuery as dbt's target database.
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 mcp-server-bigquery
LucasHild/mcp-server-bigquery
A Model Context Protocol server that provides access to BigQuery
This tool helps data analysts and business intelligence professionals connect large language models (LLMs) to Google BigQuery databases. You provide your BigQuery project details, and the LLM gains the ability to understand your database schema and execute SQL queries. This allows you to interact with your data using natural language, receiving query results or schema descriptions.
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