Developer
Let your AI team run Snowflake for you.
Connect Snowflake once, then just ask. Your agent handles the work inside Snowflake the same way you would — only faster, and at 3am.
What your agent does with Snowflake
Connect a Snowflake account so agents can run SQL (read-only by default), inspect databases/schemas/tables/views/stages/pipes/tasks, manage warehouses, run COPY INTO / unload jobs, refresh dynamic tables, and query account_usage for observability.
- Run SQL — SELECT/SHOW/DESCRIBE by default, mutations opt-in
- List warehouses, resume/suspend on demand
- List databases, schemas, tables, views, stages, pipes, and tasks
- Describe a table's columns and types
- COPY INTO a table from a stage (load) and unload a query to @stage
- Resume / suspend / execute tasks
- Refresh dynamic tables on demand
- Inspect running queries (account_usage.query_history)
- Summarise grants on a securable (SHOW GRANTS ON)
- List stored procedures and user-defined functions
- Query account_usage for logins, query cost, and warehouse credits
- Inspect masking policies and row access policies
What to ask your agent
- ›"Triage anything new in Snowflake today and tell me what's actually urgent."
- ›"Review the latest Snowflake activity and post the summary to my Slack."
- ›"Open a Snowflake item for every TODO I flagged today."
More developer integrations
GitHub
Issues, pull requests and code repositories
Supabase
Query and manage your Postgres database
- OB
Object Storage
Receive file uploads from your end users without exposing AWS keys
- AL
Algolia Search
Search and indexing for product catalogs and content
- S3
Amazon S3 (Your Account)
Read & write to your own AWS S3 buckets using your IAM credentials
PostgreSQL Database
Read and (carefully) write to your Postgres database
Hire an AI team that works inside Snowflake.
Connect Snowflake once — every agent you hire on Vezra inherits access and can start working immediately.
Start free