dbt-mcp
A MCP (Model Context Protocol) server for interacting with dbt.
dbt Labs' official MCP server. The AI can read model definitions in your project, run dbt commands, trace upstream and downstream lineage, and query defined business metrics through the semantic layer.
Lineage is the standout — "which downstream reports break if I change this staging model?" used to mean clicking around dbt docs. Assessing blast radius before a change gets much faster.
Why use it
Good for: analytics engineers working in dbt, particularly once the project has grown past a manageable number of models.
Before connecting: it can execute dbt commands like run and test. Point it at a development target — don't let the AI run against production schemas.
Install / Connect
# No npm package — install from source.
# See the repo's README for the exact command:
# https://github.com/dbt-labs/dbt-mcpFollow the official README; env and args vary per server.
🛠️ Maintenance weight 30% · 83 pts
📊 Adoption weight 25% · 51 pts
✅ Usability weight 20% · 20 pts
❤️ Health & community weight 25% · 76 pts
Sources: GitHub API · updated 2026-08-19
90-day trend
⭐ stars +0%
Frequently Asked Questions
Does it work with both dbt Core and dbt Cloud?
Both, with different configuration. Semantic layer features require dbt Cloud.
Will the AI edit my model files?
Reading is the default; whether it writes depends on your configuration. Commit to git before letting it change models.
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