dbt
dbt-labs/dbt-mcp
dbt integration: dbt Core and Cloud CLI, project metadata discovery, model information and semantic layer queries.
- Official
- Local integrations
- Cloud integrations
Installation, supported tools and required credentials are maintained by the project.
Project details
- GitHub stars
- 611
- Language
- Python
- License
- Apache-2.0
- Forks
- 142
- Latest release
- v2.8.08d ago
- Activity
- updated today
- data-analytics
- data-engineering
- llm
- mcp
- mcp-server
- model-context-protocol
- dbt
First MCP server?Start with the basics
Operational ontology reference implementation: tools generated from a typed business domain model, with rule-checked, audited writes to systems of record.
Interact with the Keboola Connection data platform: list and access data from the Keboola Storage API.
Apache Superset: dashboards, charts, datasets, SQL Lab, security (users, roles, RLS, groups) and permissions audit, with built-in safety validations.
Run SQL queries, list jobs and get job status via the Databricks API.
Kafka Schema Registry management across multiple registries, including schema migration.
Brazilian agricultural data: prices, crop estimates, climate and deforestation from public sources including CEPEA, CONAB, IBGE, INPE and B3.
Swiss open data: transport, weather, geodata, companies, parliament and more.
dbt-core (OSS) project metadata, model and column-level lineage, and dbt documentation.