A MCP (Model Context Protocol) server for interacting with dbt resources.
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# dbt MCP Server [](https://www.bestpractices.dev/projects/11137) This MCP (Model Context Protocol) server provides various tools to interact with dbt. You can use this MCP server to provide AI agents with context of your project in dbt Core, dbt Fusion, and dbt Platform. Read our documentation [here](https://docs.getdbt.com/docs/dbt-ai/about-mcp) to learn more. [This](https://docs.getdbt.com/blog/introducing-dbt-mcp-server) blog post provides more details for what is possible with the dbt MCP server. ## Experimental MCP Bundle We publish an experimental Model Context Protocol Bundle (`dbt-mcp.mcpb`) with each release so that MCPB-aware clients can import this server without additional setup. Download the bundle from the latest release assets and follow Anthropic's [`mcpb` CLI](https://github.com/modelcontextprotocol/mcpb) docs to install or inspect it. ## Feedback If you have comments or questions, create a GitHub Issue or join us in [the community Slack](https://www.getdbt.com/community/join-the-community) in the `#tools-dbt-mcp` channel. ## Architecture The dbt MCP server architecture allows for your agent to connect to a variety of tools.  ## Tools ### SQL - `execute_sql` - `text_to_sql` ### Semantic Layer - `get_dimensions` - `get_entities` - `get_metrics_compiled_sql` - `list_metrics` - `list_saved_queries` - `query_metrics` ### Discovery - `get_all_macros` - `get_all_models` - `get_all_sources` - `get_exposure_details` - `get_exposures` - `get_lineage` - `get_macro_details` - `get_mart_models` - `get_model_children` - `get_model_details` - `get_model_health` - `get_model_parents` - `get_model_performance` - `get_related_models` - `get_seed_details` - `get_semantic_model_details` - `get_snapshot_details` - `get_source_details` - `get_test_details` …
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