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Dbt Semantic Layer

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Enables querying of the dbt Semantic Layer through AI assistants like Claude.

About

This Model-Connector-Presenter (MCP) server bridges AI assistants (like Claude) with the dbt Semantic Layer, allowing users to query metrics directly through natural language. It provides a single source of truth for business metrics, ensures consistent metric definitions across data tools, and simplifies access to complex metrics for all team members. Users can explore available metrics, analyze data with dimensional breakdowns and filters, and visualize results within the AI assistant interface.

Key Features

  • Browse and search available metrics in your dbt Semantic Layer
  • Generate and execute semantic queries through natural language
  • Display query results in an easy-to-understand format
  • Filter, group, and order metrics for deeper insights

Use Cases

  • Query metrics directly through natural language conversations
  • Analyze data with dimensional breakdowns and filters
  • Explore available metrics and their definitions
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    Dbt Semantic Layer: Query Metrics with AI Assistants