Tommybez Dbt Semantic Layer MCP Server
What is the dbt Semantic Layer MCP Server?
This server acts as a translator between AI assistants and your dbt Semantic Layer, allowing you to ask business questions in plain English and get accurate metric responses.How does it work?
The server connects to your dbt Cloud account, understands your metric definitions, and converts natural language questions into proper semantic layer queries.When should I use it?
Perfect for business users who want to access company metrics without writing SQL, or analysts who need quick answers during meetings.Key Features
Metric ExplorerBrowse and search all available metrics in your dbt project with their business definitions
Natural Language QueriesAsk business questions in everyday language instead of technical syntax
Smart BreakdownsAutomatically applies appropriate dimensional filters and groupings
Pros and Cons
Benefits
No SQL knowledge required to access complex metrics
Consistent metric definitions across all queries
Real-time answers during business discussions
Limitations
Requires dbt Cloud with Semantic Layer enabled
Limited to metrics defined in your dbt project
Initial setup requires API configuration
Getting Started
Install via Smithery
Run the installation command to set up the server
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Configure Connection
Provide your dbt Cloud API credentials and project details
Start Querying
Begin asking questions through your connected AI assistant
Example Queries
Revenue AnalysisCompare revenue performance across time periods
User SegmentationAnalyze user behavior by different segments
Frequently Asked Questions
Do I need special permissions in dbt Cloud?
Can I use this with other AI tools besides Claude?
How often is the data refreshed?
Learn More
dbt Semantic Layer Documentation
Official documentation about the dbt Semantic Layer
MCP Protocol Overview
Technical details about the Model-Connector-Presenter architecture
Smithery Platform
Deployment platform for MCP servers
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