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Interact with the dbt ecosystem for modeling, semantic queries, and metadata discovery.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "dbt-mcp" yet — see the docs or source repo.
Connect to the dbt Discovery API and list the models, sources, and exposures in the current project, grouped by directory.
A structured inventory of project metadata, summarizing resources by directory.
Use dbt Core or the Cloud CLI to run models tagged with finance, then summarize results, failures, and impacted nodes.
A build execution report with success or failure status and impacted nodes.
Query the dbt Semantic Layer for daily active users and revenue over the last 30 days, return results by day, and flag anomalous dates.
Daily metric results with a brief analysis of anomalous fluctuations.
Connect to dbt projects via MCP for analysis, model understanding, and insights.
Connect to PostgreSQL and MySQL, run SQL, and manage database transactions.
Connect LLM apps to query and manage multiple databases through one tool.
Connect to major databases via MCP to run SQL queries and commands.
Manage MySQL databases with natural language for queries, CRUD, and monitoring.
Safely explore and analyze data across multiple databases with read-only access.