Wren AI
Open-source data agent with text-to-SQL, MCP, and governed context across 20+ sources.
Wren AI — frequently asked questions
What data sources does Wren AI support?
It connects to 20+ sources including Snowflake, BigQuery, Databricks, Redshift, PostgreSQL, SQL Server, Oracle, MySQL, ClickHouse, Athena, Trino, and Starburst, with no ETL or migration required.
Can AI agents like Claude and ChatGPT use Wren?
Yes. Wren exposes an MCP server so Claude, ChatGPT, Gemini, or your own agents can call it as a sub-agent and receive the same governed answer a human user would.
Is Wren AI open source?
The context engine (MDL, text-to-SQL, MCP, CLI, and 20+ connectors) is open source under github.com/Canner/WrenAI. GenBI Apps, agentic mode, Git Sync, and enterprise governance ship in the commercial product.
How is pricing structured?
Pricing is usage-based, not per-seat, and every paid plan includes unlimited users. A cost calculator and pricing page are available on the site.
Can Wren run on-prem?
Yes. Deployment options include Wren AI Cloud, customer VPC, and fully air-gapped on-prem.