Your AI agent's
data toolkit.

Extend AI editors with Bruin's data capabilities.
Analyze, ingest, transform, and compare data using your favorite AI agent.

$ bruin mcp
View on GitHub

WHAT IS BRUIN MCP

Bridge AI agents with your data

Bruin MCP allows AI agents in Cursor, Claude Code, and other MCP-compatible editors to query databases, compare tables, ingest data, and build pipelines—using Bruin CLI's proven data infrastructure.

Query Any Database
Run SQL queries across PostgreSQL, BigQuery, Snowflake, DuckDB, and more—directly from your AI editor.
Ingest Data
Pull data from Shopify, Stripe, Google Sheets, and dozens of sources into your data warehouse with simple prompts.
Compare Tables
Validate data pipeline changes by comparing dev and prod tables with built-in data-diff capabilities.
Build Pipelines
Let AI agents create complete data pipelines—from ingestion to transformation to quality checks.
Documentation Access
AI agents can reference up-to-date Bruin documentation to answer questions and provide accurate examples.
Execute Commands
Run Bruin CLI commands directly through your AI agent to connect databases, validate pipelines, and more.

QUICK SETUP

Ready in seconds

Install Bruin CLI, then configure your AI editor to use the MCP server.

Cursor IDE Setup

Add Bruin as a custom MCP server in Cursor settings to unlock data capabilities directly in your editor.

1

Open Cursor Settings

2

Navigate to Features > MCP Servers

3

Click "Add New MCP Server" and enter the configuration:

json
{
  "mcpServers": {
    "bruin": {
      "command": "bruin",
      "args": ["mcp"]
    }
  }
}

WHAT YOU CAN DO

Build data workflows with AI

Analyze Data

Ask AI to explore and analyze data in your databases.

"What is the average revenue per customer in the orders table?"

Ingest from Sources

Import data from external sources into your warehouse.

"Bring all my Shopify order data into BigQuery"

Compare Environments

Validate changes by comparing dev and production tables.

"Compare the users table between dev and prod environments"

Build & Test Pipelines

Create and validate data pipelines with AI assistance.

"Create a pipeline that ingests Stripe data and calculates MRR"

GET STARTED

Ready to try it?

Install Bruin CLI, configure your AI editor, and start building data workflows with AI assistance.

Install Bruin CLI Read Documentation

EXAMPLE PROMPTS

Ask your AI agent anything

"How do I create a BigQuery asset in Bruin?"

"Connect to my PostgreSQL database and run a query"

"Show me the data sources Bruin supports for ingestion"

"Build a data pipeline for ingesting CSV files"

"How can I run data quality checks on my tables?"

"Set up a Snowflake connection in Bruin"

"Create a table in my data warehouse using Bruin"

"How is a pipeline.yml file configured in Bruin?"

We'd love your feedback

Help us improve Bruin MCP by sharing your experience or reporting issues.

Create an Issue on GitHub