AI integrations

AI agents can connect to external systems and data sources to provide context-aware, informed responses. This page provides an overview of available integration options.

Data source integrations

Knowledge bases

Connect document repositories for RAG-powered responses

MCP integration

Use Model Context Protocol to connect external tools and data

Workflow integrations

Integration Designer

Build complex integration workflows with visual designer

Custom Agent Node

Use AI agents within Integration Designer workflows

API access

REST APIs

Programmatic access to processes and agents

Kafka integration

Event-driven integration patterns

Integration patterns

Pattern	Description	Use case
Knowledge retrieval	Agent queries knowledge bases before responding	Context-aware chat, document Q&A
External API calls	Agent calls external services via MCP	Real-time data, third-party services
Workflow orchestration	Agent triggers or is triggered by workflows	Automated processing pipelines
Event-driven	Agent responds to Kafka events	Real-time processing, notifications

Agent Builder

Create custom AI agents

Using agents

Integration patterns for agents

Last modified on July 13, 2026

​Data source integrations