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wren-engine

Give AI agents trusted SQL access to business data

Connects AI agents to 22+ databases and file sources through a governed semantic layer (MDL). Generates data models from live databases, writes and validates SQL, and answers business questions without guessing table joins or metric definitions. Includes CLI, MCP server, and SaaS pipeline skills so agents query accurate data faster with fewer errors.
npx skills add Canner/wren-engine --all -g -y
Available:

Directs the AI agent to the root CLAUDE.md, which explains the engine architecture, module layout, and how to build, test, and work with each component of the semantic engine.

All Skills in This Repository (9)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install wren-engine skills?

Run `npx skills add Canner/wren-engine --all -g -y` in your terminal to install all Wren Engine skills globally for your AI agent.

What does Wren Engine do for AI agents?

It gives agents a semantic layer over your databases so they query trusted business models and metrics instead of guessing raw tables and joins. This makes natural-language data answers far more accurate.

Which databases does Wren Engine support?

It supports 22+ sources including PostgreSQL, MySQL, BigQuery, Snowflake, ClickHouse, Trino, DuckDB, Databricks, Redshift, Oracle, SQL Server, and file sources like S3, GCS, and local files.

Can AI agents query SaaS data like HubSpot or Stripe?

Yes. The wren-dlt-connector skill pulls SaaS data into DuckDB with dlt pipelines, then auto-generates a queryable Wren project from it.

Does Wren Engine work with Claude Code and Cursor?

Yes. It ships an MCP server and standard SKILL.md files that work with Claude Code, Cursor, Cline, and other MCP-compatible agents.

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