TommyBez_dbt-semantic-layer-mcp-server
0
The dbt Semantic Layer MCP Server is designed to integrate AI assistants with the dbt Semantic Layer, allowing users to query and analyze metrics using natural language. Its standout features include metric discovery, query creation, and result visualization for enhanced data analysis.
dbt Semantic Layer MCP Server
A Model-Connector-Presenter (MCP) server for querying the dbt Semantic Layer through AI assistants like Claude Desktop.
Features
- Metric Discovery: Search metrics in the dbt Semantic Layer
- Query Creation: Execute semantic queries via natural language
- Data Analysis: Filter and organize metrics for insights
- Result Visualization: Display results clearly
Usage
Interact with the dbt Semantic Layer from Claude Desktop by inquiring about available metrics, querying specific metrics, and analyzing trends.
Prerequisites
- dbt Cloud account with Semantic Layer enabled
- API access to dbt Cloud instance
- Node.js (v14 or later)
Installation
Install using Smithery:
- Via Smithery CLI
Troubleshooting
Ensure correct API credentials and that the Semantic Layer is enabled in your dbt Cloud project.