MCP Servers for dbt

dbt (data build tool) is an open-source command-line tool that enables data analysts and engineers to transform data in their warehouses using SQL. It helps organizations build reliable data pipelines and analytics workflows through version control, documentation, and testing.

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  • Why this server?

    Allows AI agents to execute dbt CLI commands and interact with dbt projects. Supports operations like run, test, compile, list resources, debug, install dependencies, and load seed data.

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    A Model Context Protocol (MCP) server that wraps the dbt CLI tool, enabling AI coding agents to interact with dbt projects through standardized MCP tools. Developed by Mammoth Growth.
    8
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Connects to the dbt Semantic Layer to provide access to business metrics, allowing users to browse available metrics, generate semantic queries, analyze data with filters and groupings, and visualize query results.

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    A server that enables querying the dbt Semantic Layer through natural language conversations with Claude Desktop and other AI assistants, allowing users to discover metrics, create queries, analyze data, and visualize results.
    7
    TypeScript
    MIT License
  • Why this server?

    Integrates with dbt through a manifest file path, likely enabling querying or analysis of dbt models and metadata.

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    An MCP server for Claude Desktop that allows users to query data from selected Google Cloud datasets by configuring project ID and datasets in the Claude Desktop configuration.
    Python
    • Apple