Cursor integration
Cursor data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.team_members
type: ingestr
parameters:
source_connection: cursor
source_table: 'team_members'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/cursor.asset.yml
- extract · Cursor team_membersincremental
- load · snowflake raw.team_membersmerged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
AI-powered code editor built for productivity. The Cursor API provides access to team usage data, spending information, and detailed usage events.
- 01
Add a Cursor connection with its credentials.
- 02
Pick the tables to load and how: replace, append or merge.
- 03
Bruin runs it on your schedule and checks every load.
Tables
4 tables, ready to load.
team_membersdaily_usage_datateam_spendfiltered_usage_events
Step-by-step
Pick a destination.
The platform
Part of the Bruin platform.
Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.
Sources
DatabasesWarehousesApps & APIsFiles & storageStreams & webhooksWeb scrapingMove
Data IngestionAI agents & MCP
More tools, same category.
Frequently asked
Questions about Cursor.
Does Bruin have a built-in Cursor integration?
Yes. Built-in ingestr source. Drives Bruin through MCP.
Which Cursor tables can Bruin load?
team_members, daily_usage_data, team_spend, filtered_usage_events.
Where can Cursor data go?
Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.
How fresh is the data?
As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.
Do we need Bruin Cloud?
No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.
Ready to connect Cursor?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.