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Actions
Add AI to your app: configurable prompts and chains that can read your data and call your integrations, exposed as endpoints or MCP tools. In the dashboard these are Your Actions.
Configure
Prompts
A prompt is a configurable AI action — you set the system prompt, the input schema, and the output format. Your app, or an agent, invokes it.
Chains
Chain prompts together for multi-step workflows — each step's output feeds the next.
Tools
Prompts can use tools — real connections to your app:
- Entity tools — read and write your data during a run
- Integration tools — call external services during a run
So your AI actions work on real data and real services, not just text.
Expose & scope
Each action can be enabled, exposed over REST or MCP, and scoped to specific roles.
"Create an action called Summarize Project that reads from the Projects entity and returns a status summary."
Use in your app
Actions run on the backend. Your app invokes them through the surface you exposed them on — your app's REST API or its MCP server — not a direct SDK call. Turn an action on, expose it, and call it like any other endpoint.
Reference
- Entities · Integrations — what actions can use
- MCP Tools · REST API — how actions are exposed and called