Bruin Cloud
Run, schedule, and chat with your data
Wire your repo to Bruin Cloud, configure connections, and ship pipelines and AI agents to production. Short tutorials covering the core features end-to-end.
Get Started
Wire your repo, configure connections, and trigger your first pipeline run.
- 1
Manage Connections
4 minConfigure connections so your pipelines can reach data sources and destinations.
- 2
Create a Project
4 minConnect a GitHub repo, create your first project, and add the connections it needs.
- 3
Enable a Pipeline
4 minEnable a pipeline, fix any missing connections, and trigger the first run.
Pipeline Features
1Run, monitor, and operate pipelines in Bruin Cloud.
AI Features
4Configure AI agents, chat with them, and ship dashboards with their help.
Configure AI Agents
Create AI agents in Bruin Cloud - pick a project, add messaging integrations, attach connections, and set permissions.
Chat with an AI Agent
Ask agents about your data, generate reports, and run Bruin Cloud CLI tasks like pipeline status and history.
Build Dashboards with an AI Agent
Use a Bruin Cloud AI agent to scaffold and edit dashboards from natural language - no YAML required.
Schedule an AI Agent
Set up an AI agent to run on a schedule - daily reports, Slack alerts, and custom SQL queries.
Integrations
2Connect Bruin Cloud to the rest of your stack.
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 from your terminal.
Deploy an AI Analyst to Slack
Build a stock-market AI analyst in Bruin Cloud and connect it to Slack so your team can query data from any channel.