AI Analyst for Consumer App Data with Redshift & Cursor
Build a local AI analyst for consumer app data using Bruin CLI, Redshift, and Cursor.
What
Goal - Build a local AI analyst for consumer app data using Bruin CLI, Redshift, and Cursor.
Audience - Data engineers and analysts working with consumer app data in Redshift.
Prerequisites
- Consumer app data already loaded in Redshift
- Bruin CLI installed
- Cursor installed
- An AI CLI installed for
bruin ai enhance(Claude Code, OpenCode, or Codex) - Bruin MCP configured for Cursor
More guides
Chat with an AI Agent
Use Bruin Cloud's chat to ask an AI agent about your data, generate reports, and run Bruin Cloud CLI tasks like pipeline status and history.
Configure AI Agents
Create and configure AI agents in Bruin Cloud - pick a project, add messaging integrations, attach a connection set, and set permissions.
Connect Bruin Cloud MCP to Claude Code
Set up the Bruin Cloud MCP so your AI agent can query pipelines, inspect runs, and trigger actions in Bruin Cloud directly from your terminal.