Getting Started

Option 1: Install using Maven Dependency

Copy and paste the following Maven Dependency into your Mule application pom file.

pom.xml

<dependency>
  <groupId>cloud.anypoint</groupId>
  <artifactId>mule-amazon-bedrock-connector</artifactId>
  <version>0.2.0</version>
  <classifier>mule-plugin</classifier>
</dependency>

Option 2: Install Manually using Maven

System Requirements

Before you start, ensure you have the following prerequisites:

Java Development Kit (JDK) 8, 11, and 17
Apache Maven
MuleSoft Anypoint Studio

Download the AWS Berock Connector

Clone the Amazon Bedrock Connector repository from GitHub (will be release mid September):

git clone https://github.com/MuleSoft-AI-Chain-Project/mac-aws-bedrock.git
cd mac-aws-bedrock

Install the Connector with Java 8

mvn clean install -Dmaven.test.skip=true -DskipTests

Installing with Java 11, 17, 21, 22, etc.

Step 1

export MAVEN_OPTS="--add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.util.regex=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.xml/javax.xml.namespace=ALL-UNNAMED"

Step 2

 
For Java 11
mvn clean install -Dmaven.test.skip=true -DskipTests -Djdeps.multiRelease=11
 
For Java 17
mvn clean install -Dmaven.test.skip=true -DskipTests -Djdeps.multiRelease=17
 
For Java 21
mvn clean install -Dmaven.test.skip=true -DskipTests -Djdeps.multiRelease=21
 
For Java 22
mvn clean install -Dmaven.test.skip=true -DskipTests -Djdeps.multiRelease=22

Add the Connector to your Project

Add the following dependency to your pom.xml file:

pom.xml

<dependency>
  <groupId>com.mule.mulechain</groupId>
  <artifactId>mulechain-bedrock</artifactId>
  <version>{version}</version>
  <classifier>mule-plugin</classifier>
</dependency>

💡

The MAC Project connectors are constantly updated, and the version is regularly changed. Make sure to replace {version} with the latest release from our GitHub repository (opens in a new tab).

Configuration

The Amazon Bedrock connector can be easily configured. Go to the Global Elements in your MuleSoft project, and create a new configuration. In the Connector Configuration, you will find the Amazon Bedrock Config. Select it and press OK.

Authentication

Amazon Bedrock supports multiple LLMs:

AI21 Labs
Amazon
Anthropic
Cohere
Meta
Mistral AI
Stability AI

By providing the clientId, clientSecret and sessionToken (optional) the connector is fully configured.

Connector Overview Agent