Migrating the MuleSoft JMS connector to Spring Boot

5 min read

The MuleSoft JMS connector maps directly onto Spring's JMS support: publishing becomes JmsTemplate, and the JMS listener source becomes an @JmsListener method.

Operation mapping

•jms:publish → JmsTemplate.convertAndSend(destination, payload)
•jms:consume → JmsTemplate.receiveAndConvert(destination)
•jms:listener (source) → a method annotated @JmsListener(destination = "...")

Before and after

Mule — publish

<jms:publish config-ref="JMS_Config" destination="orders.queue"/>

Spring Boot — publish

jmsTemplate.convertAndSend("orders.queue", payload);

Mule — listener

<jms:listener config-ref="JMS_Config" destination="orders.queue"/>

Spring Boot — listener

@JmsListener(destination = "orders.queue")
public void onMessage(String payload) {
    // flow body
}

How the conversion is validated

The generated JMS integration is unit-tested; in a pilot it is validated against your own broker with the same field-by-field Proven-Parity comparison — your tests run against both the Mule app and the converted Spring Boot app.

Prove it on your own code

Send us one Mule application and your Postman collection. We convert it and prove the Spring Boot output matches field-by-field — on-premise, inside your environment.

Start a Pilot See the Proof

Related guides

Migrating the MuleSoft Kafka connector to Spring Boot

How the MuleSoft Kafka connector (publish and message-listener) maps to Spring for Apache Kafka — KafkaTemplate and @KafkaListener — with a before-and-after example and how parity is verified against a real broker.

DataWeave to Java: how to migrate MuleSoft transformations to Spring Boot

A practical guide to converting MuleSoft DataWeave 2.0 transformations to idiomatic Java for Spring Boot — map, filter, reduce, groupBy, mapObject, null-safety, and how to prove the result behaves identically.