dbt Semantic Layer MCP Server

What is the dbt Semantic Layer MCP Server? The dbt Semantic Layer MCP Server is a Model-Connector-Presenter server that facilitates seamless querying of the dbt Semantic Layer through AI assistants like Claude Desktop. How to use the dbt Semantic Layer MCP Server? To use the server, install it via Smithery and configure it with your dbt Cloud account. Once set up, you can interact with the dbt Semantic Layer using natural language queries through your AI assistant. Key features of the dbt Semantic Layer MCP Server? 🔍 Metric Discovery: Browse and search available metrics in your dbt Semantic Layer. 📊 Query Creation: Generate and execute semantic queries through natural language. 🧮 Data Analysis: Filter, group, and order metrics for deeper insights. 📈 Result Visualization: Display query results in an easy-to-understand format. Use cases of the dbt Semantic Layer MCP Server? Querying business metrics directly through natural language. Analyzing data trends and performance metrics. Visualizing complex data insights within AI assistant interfaces. FAQ from the dbt Semantic Layer MCP Server? What do I need to use this server? You need a dbt Cloud account with Semantic Layer enabled and API access to your dbt Cloud instance. How do I install the dbt Semantic Layer MCP Server? The recommended installation method is via Smithery using the command: npx -y @smithery/cli install @TommyBez/dbt-semantic-layer-mcp --client claude. What can I ask the server? You can ask about available metrics, query specific metrics, and analyze trends using natural language.

As an MCP (Model Context Protocol) server, dbt Semantic Layer MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the server, install it via Smithery and configure it with your dbt Cloud account. Once set up, you can interact with the dbt Semantic Layer using natural language queries through your AI assistant. Key features of the dbt Semantic Layer MCP Server? 🔍 Metric Discovery: Browse and search available metrics in your dbt Semantic Layer. 📊 Query Creation: Generate and execute semantic queries through natural language. 🧮 Data Analysis: Filter, group, and order metrics for deeper insights. 📈 Result Visualization: Display query results in an easy-to-understand format. Use cases of the dbt Semantic Layer MCP Server? Querying business metrics directly through natural language. Analyzing data trends and performance metrics. Visualizing complex data insights within AI assistant interfaces. FAQ from the dbt Semantic Layer MCP Server? What do I need to use this server? You need a dbt Cloud account with Semantic Layer enabled and API access to your dbt Cloud instance. How do I install the dbt Semantic Layer MCP Server? The recommended installation method is via Smithery using the command: npx -y @smithery/cli install @TommyBez/dbt-semantic-layer-mcp --client claude. What can I ask the server? You can ask about available metrics, query specific metrics, and analyze trends using natural language.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.