Connect data sources and systems - e6data Docs

How-to guideApplies to: All deployments

How data enters AgentFlow

Path	Use it for
Semantic layer	Governed access to tables on an e6data cluster, with business context
External Cube	An existing Cube model, with the `cube_load` or `cube_sql` policy and optional e6data fallback
Built-in tools	SQL, schema search, join discovery, data profiling, files
Agent Tools	Your own systems, through Python functions
Connectors	Slack, GitHub, GreptimeDB and remote MCP servers

Turn on connectors

Configure connectors in the project’s Settings under Connectors. Each connector must also be enabled for your deployment.

Outbound systems

Workflows deliver notifications and approvals to Slack and email, and write back to systems such as ERP, MES and CMMS through tools and action steps. See Actions and approvals.

Last modified on November 3, 2026