dbt MCP Server
Official dbt Labs MCP server that gives AI agents context from dbt Core, dbt Fusion, dbt Platform, project metadata, SQL tools, lineage, Admin API, and dbt documentation search.
Open the source and read safety notes before installing.
Safety notes
- SQL and admin tools can inspect or affect real analytics environments depending on credentials.
- Start with read-oriented docs and metadata tools before enabling execution paths.
Privacy notes
- dbt metadata, SQL, lineage, model names, run artifacts, and platform account details can expose private analytics structure.
Prerequisites
- dbt project, dbt Core/Fusion environment, or dbt Platform account.
- MCP client and credentials appropriate to the dbt features enabled.
Schema details
- Install type
- cli
- Troubleshooting
- No
- Scope
- Source repo
- Estimated setup
- 15 minutes
- Difficulty
- intermediate
Full copyable content
{
"mcpServers": {
"dbt": {
"command": "uvx",
"args": ["dbt-mcp"]
}
}
}About this resource
Content
dbt MCP Server is dbt Labs' official Model Context Protocol server for exposing dbt context to AI agents. The repository describes tools for dbt Core, dbt Fusion, dbt Platform, SQL workflows, Admin API data, lineage, and dbt documentation.
Use Cases
- Ask Claude to inspect model lineage before changing a transformation.
- Search dbt documentation from an agent workflow.
- Review job runs, artifacts, or project metadata from dbt Platform.
- Use SQL-oriented tools where credentials and approval flow are appropriate.
Safety and Privacy
Treat dbt MCP as access to your analytics operating context. It can surface model names, SQL, warehouse details, run artifacts, and platform metadata. Keep write or execution paths behind human approval until the workflow is tested.
Duplicate Check
No dedicated dbt MCP entry exists in content/mcp. This is distinct from generic
data or orchestration tool listings.
References
- dbt MCP repository - https://github.com/dbt-labs/dbt-mcp
Source citations
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