ActionKit exposes thousands of pre-built operations (Actions) across integrations through one consistent interface and a synchronous (real-time) endpoint.

The main use cases for ActionKit include:

  1. AI agent tool calling: Expose all actions as function tools to your AI agent over the API or MCP server, with agent-optimized descriptions for tool calling accuracy.
  2. Front-end functions: For use cases where your users interact with integration data in your app, like displaying a table of Salesforce opportunities or a button to send a Slack notification.
  3. Integrations for your workflow product: Expose all actions as integration nodes in your workflow automation product/feature by wrapping ActionKit’s input schemas.

ActionKit is built for real-life use cases, providing much deeper abstractions that simply wrapping each 3rd-party API. As a result, this comes with benefits including:

  • A universal filter schema that works across all list/search operations in any 3rd-party application (ie. “contains”, “equals”, “greater_than”)
  • A reload_fields configuration that can re-pull each of your users’ dynamic fields at query-time, ensuring you have full access to their custom fields in the 3rd-party applications
  • Use case-specific schema formats purpose-built for AI agent use cases and workflow builder implementations