Turn Gemini into your command center for dbt. Query model performance, check data lineage, trigger transformations, and manage your analytics pipeline—all through conversation. Redbird MCP connects your dbt workspace directly to Gemini's AI interface.
Your team can ask Gemini to query, update, and automate dbt data — all through Redbird MCP, directly from the chat interface.
Check when your dbt models last ran and whether data is up-to-date through Redbird. Get instant answers about transformation status, test failures, and model dependencies without leaving the chat.
Kick off data transformations or run test suites by asking Gemini through Redbird. Execute specific models or entire pipelines with a simple chat command instead of switching tools.
Ask Gemini to retrieve model definitions, column descriptions, and upstream dependencies through Redbird. Understand data flow and transformation logic without digging through documentation sites.
Set up Gemini to surface test failures and schema changes through Redbird. Stay informed about data quality issues and pipeline breaks as they happen, directly in your AI chat.
Push standardized metrics and business logic from dbt to Looker, Tableau, or other platforms through Redbird. Keep analytics definitions consistent across your entire stack from one conversation.
Redbird MCP bridges your tools with your AI chat — securely connecting dbt so Gemini can read and write your data on demand.
Authorize Redbird to access your dbt account. Redbird MCP handles authentication and permissions securely — no code required.
Open your Gemini chat interface. Redbird MCP is available as a connected tool, giving Gemini access to your dbt data and workflows.
Ask Gemini anything about your dbt data through Redbird — query records, trigger updates, generate reports, or move data to other connected tools.
Through Redbird MCP, Gemini can read from dbt, write to dbt, and move data between dbt and other connected tools — all from a single chat message.
Ask Gemini to pull test results and model statuses from dbt through Redbird. See exactly which data quality checks failed and what needs attention.
Tell Gemini to modify how models are built—change materializations from view to table, adjust partitioning, or update configurations through Redbird without editing YAML files directly.
Ask Gemini to take freshly transformed data from dbt and post summaries or alerts to Slack channels through Redbird. Bridge your analytics pipeline and team communication seamlessly.
Redbird MCP brings your dbt analytics workflow into Gemini. Query models, trigger runs, and manage transformations—all through AI chat.