dbt-mcp
Active·★ 569·Apache-2.0·Updated 2026-05-28
★ Data Processing★ Dev Tooling
A MCP (Model Context Protocol) server for interacting with dbt.
The dbt MCP server provides tools for AI agents to interact with dbt projects, including SQL execution, semantic layer queries, lineage discovery, dbt CLI operations, and Admin API management. It supports dbt Core, dbt Fusion, and dbt Platform. The server includes tools for generating documentation, linting, and accessing product docs.
#data-analytics#data-engineering#dbt#llm#mcp#mcp-server#mcp-servers#model-context-protocol
01
Features
01SQL execution and natural language to SQL conversion.
02Semantic Layer integration for metrics and dimensions.
03Discovery tools for models, sources, macros, and lineage.
04dbt CLI commands (build, compile, run, test, etc.).
05Admin API for job management and project details.
02
Compatibility
dbt Core
dbt Core
Verified via docs
dbt Fusion
dbt Fusion
Verified via docs
dbt Platform
dbt Platform
Verified via docs
03
Use cases
↳Enable AI agents to explore and analyze dbt project metadata.
↳Automate dbt workflows such as model execution and testing.
↳Integrate with chatbots or coding assistants for data engineering tasks.
04
Alternatives
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initrunner★ 38
Define AI agent roles in YAML and run them anywhere: CLI, API server, or autonomous daemon
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Comments
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- FFinley PatelMay 7, 2026
Conversational dbt model management and lineage exploration is a major workflow improvement
- AAvery LewisMar 16, 2026
Used for data transformation pipeline management via Claude, the coverage is comprehensive
- SSterling JacksonMar 8, 2026
The official implementation handles dbt Cloud and Core differences correctly
- EElliot HarrisMar 6, 2026
Official dbt MCP server from dbt Labs ensures the integration stays current and reliable