Amazon S3 Connector

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The Anypoint Amazon S3 Connector provides connectivity to the the Amazon S3 API, enabling you to interface with Amazon S3 to store objects, download and use data with other AWS services, and build applications that call for internet storage.

Instant access to the Amazon S3 API enables seamless integrations between Amazon S3 and other databases, CMS applications such as Drupal, and CRM applications such as Salesforce. Amazon Simple Storage Service (Amazon S3) is storage for the Internet. You can use Amazon S3 to store and retrieve any amount of data at any time, from anywhere on the web. You can accomplish these tasks using the simple and intuitive web interface of the AWS Management Console.

The AWS SDK for Java provides a Java API for AWS infrastructure services. The Amazon S3 connector is built using the SDK for Java.

Before You Begin

To use the Amazon S3 connector, you must have the following:

  • Access to Amazon Web Services.

  • AWS Identity and Access Management (IAM) credentials.

  • Anypoint Studio Enterprise edition.

This document assumes that you are familiar with Amazon S3, Mule, Anypoint Connectors, Anypoint Studio, elements in a Mule flow, and global elements.


Amazon S3 connector is compatible with:

Application/Service Version

Mule Runtime

3.5.0 or later

AWS SDK for Java


To Install this Connector

  1. In Anypoint Studio, click the Exchange icon in the Studio taskbar.

  2. Click Login in Anypoint Exchange.

  3. Search for the connector and click Install.

  4. Follow the prompts to install the connector.

When Studio has an update, a message displays in the lower right corner, which you can click to install the update.

When prompted:

  1. Select the Amazon S3 connector version 4.3.0 check box and click Next.

  2. Follow the instructions provided by the user interface.

  3. Restart Studio when prompted. After restarting, if you have several versions of the connector installed, Mule asks you for the version of the connector to use.

Configuring the Connector Global Element

To use the Amazon S3 connector in your Mule application, configure a global Amazon S3 element that can be used by all the Amazon S3 connectors in the application (read more about Global Elements.)

Studio Visual Editor

  1. Click the Global Elements tab at the base of the canvas, then click Create.

  2. In the Choose Global Type window, expand Connector Configuration, and click Amazon S3: Configuration.

    ams3 01
  3. Click Ok

  4. Enter the global element properties:

    Parameter Description


    Enter a name for the configuration to reference it.

    Access Key

    Alphanumeric text string that uniquely identifies the user who owns the account.

    Secret Key

    Key that plays the role of a password.

    Try Default AWS Credentials Provider Chain

    Checkbox that controls whether temporary credentials should be used.

    S3 Compatible Storage URL

    Optional URL of S3 compatible storage if Amazon S3 is not used.

    In the image above, the placeholder values refer to a configuration file placed in the src folder of your project. See Learn how to configure properties.

You can either enter your credentials into the global configuration properties, or reference a configuration file that contains these values. For simpler maintenance and better re-usability of your project, Mule recommends that you use a configuration file. Keeping these values in a separate file is useful if you need to deploy to different environments, such as production, development, and QA, where your access credentials differ. See Deploying to Multiple Environments for instructions on how to manage this.

  1. Keep the Pooling Profile and the Reconnection tabs with their default entries.

  2. Click Test Connection to confirm that the parameters of your global configuration are accurate, and that Mule is able to successfully connect to your instance of Amazon S3. Read more about this in Testing Connections.

  3. Click OK to save the global connector configurations.

XML Editor

First, ensure that you have included the Amazon S3 namespaces in your configuration file.

<mule xmlns:s3="http://www.mulesoft.org/schema/mule/s3"  xmlns:http="http://www.mulesoft.org/schema/mule/http"  xmlns:tracking="http://www.mulesoft.org/schema/mule/ee/tracking" xmlns="http://www.mulesoft.org/schema/mule/core"  xmlns:doc="http://www.mulesoft.org/schema/mule/documentation"
 xsi:schemaLocation="http://www.springframework.org/schema/beans" http://www.springframework.org/schema/beans/spring-beans-current.xsd

  <!-- Put your flows and configuration elements here -->


Follow these steps to configure an Amazon S3 connector in your application: Create a global Amazon S3 configuration outside and above your flows, using the following global configuration code.

<!-- simple configuration -->
<s3:config name="Amazon_S3_Configuration" accessKey="${s3.accessKey}" secretKey="${s3.secretKey}" doc:name="Amazon S3: Configuration"/>
Parameter Description


Enter a name for the configuration with which it can be referenced later by config-ref. The name in this example is Amazon_S3_Configuration.


The access key provided by Amazon. It is required for non-anonymous operations.


The secret key provided by Amazon. It is required for non-anonymous operations.

Connecting to S3 Compatible Storage

If you need to connect to a different storage than the default AWS S3, you must specify its URL in the S3 Compatible Storage URL field.

An example of S3 compatible storage is the minio project. For instance, if you configure it locally you may need to set the S3 Compatible Storage URL to

Using the Connector

Amazon S3 connector is an operation-based connector, which means that when you add the connector to your flow, you need to configure a specific operation for the connector to perform. The Amazon S3 connector currently supports the following list of operations:

See the full list of operations for the latest version of the connector here.

For the operations to work, you need to enable or update the subset of the overall list of Amazon S3 actions on the bucket to specify that the AWS account has access to the subset actions on the bucket.

  • Abort Multipart Upload

  • Complete Multipart Upload

  • Copy Object

  • Create Bucket

  • Create Object

  • Create Object Presigned URI

  • Delete Bucket

  • Delete Bucket Cross Origin Configuration

  • Delete Bucket Lifecycle Configuration

  • Delete Bucket Policy

  • Delete Bucket Tagging Configuration

  • Delete Bucket Website Configuration

  • Delete Object

  • Delete Objects

  • Get Bucket ACL

  • Get Bucket Cross Origin Configuration

  • Get Bucket Lifecycle Configuration

  • Get Bucket Location

  • Get Bucket Logging Configuration

  • Get Bucket Notification Configuration

  • Get Bucket Policy

  • Get Bucket Tagging Configuration

  • Get Bucket Versioning Configuration

  • Get Bucket Website Configuration

  • Get Object

  • Get Object ACL

  • Get Object Content

  • Get Object Metadata

  • Initiate Multipart Upload

  • List Buckets

  • List Multipart Uploads

  • List Next Batch of Objects

  • List Next Batch of Versions

  • List Objects

  • List Parts

  • List Versions

  • Set Bucket ACL

  • Set Bucket Cross Origin Configuration

  • Set Bucket Lifecycle Configuration

  • Set Bucket Logging Configuration

  • Set Bucket Notification Configuration

  • Set Bucket Policy

  • Set Bucket tagging Configuration

  • Set Bucket Versioning Configuration

  • Set Bucket Website Configuration

  • Set Object ACL

  • Set Object Storage Class

  • Upload Part

  • Upload Part Copy

Using AWS KMS Master Key

If you need to encrypt the objects that you are going to store to S3 buckets using customer managed master keys, then you must specify Customer Master Key Id in the 'KMS Master Key' field in the Create Object configuration.

Using AWS Credentials Provider Chain in CloudHub

With Default AWS Credentials Provider Chain, the user can specify the access key and secret in the CloudHub environment with these steps:

  1. Use the following configuration to prepare a mule app.

     <s3:config name="Amazon_S3__Configuration" accessKey="dummy" secretKey="dummy" doc:name="Amazon S3: Configuration" tryDefaultAWSCredentialsProviderChain="true"/>
  2. Export this to get a deployable zip archive.

  3. Deploy to cloudhub and set the properties aws.accessKeyId and aws.secretKey through Runtime Manager > Settings > Properties.

  4. Finish deployment and test.

    Observe that access key and secret key are not mentioned in the connector config and the correct values are used from the values specified in the settings. More information about Default AWS Credentials Provider Chain can be found here at using the default provider credential chain

Connector Namespace and Schema

When designing your application in Studio, the act of dragging the connector from the palette onto the Anypoint Studio canvas should automatically populate the XML code with the connector namespace and schema location.

Namespace: http://www.mulesoft.org/schema/mule/connector Schema Location: http://www.mulesoft.org/schema/mule/s3/current/mule-connector.xsd

If you are manually coding the Mule application in Studio’s XML editor or other text editor, paste these into the header of your Configuration XML, inside the <mule> tag.
<mule xmlns:connector="http://www.mulesoft.org/schema/mule/connector"
  xsi:schemaLocation="http://www.mulesoft.org/schema/mule/connector http://www.mulesoft.org/schema/mule/connector/current/mule-connector.xsd">
  <flow name="yourFlow">

Using the Connector in a Mavenized Mule App

If you are coding a Mavenized Mule application, this XML snippet must be included in your pom.xml file.


Use Cases

The following are the common use cases for the Amazon S3 connector:

  • Store an image from a URL on Amazon S3, then retrieve and display the image.

  • Create an image link in Amazon S3 and update the status in twitter along with the image link.

Adding the Connector to a Mule Flow

  1. Create a new Mule project in Anypoint Studio.

  2. Drag the Amazon S3 connector onto the canvas, then select it to open the properties editor.

  3. Configure the connector’s parameters:

    ams3 03
    Field Description Example

    Display Name

    Enter a unique label for the connector in your application.

    Amazon S3

    Connector Configuration

    Select a global Amazon S3 connector element from the drop-drown.



    Select the action this component must perform.

    Create bucket

    Bucket Name

    Select a parameter for the operation.

    #[payload] or ${bucketName} to pick the value using MEL expression.

  4. Save your configurations.

Demo Mule Application Using Connector

Create a Mule application that stores an image from a URL on Amazon S3, then retrieve and display the image.

Studio Visual Editor

ams3 04
  1. Begin the flow by sending a message to a bucket.

  2. Create a new Mule project in Anypoint Studio.

  3. Drag an HTTP connector into the canvas, then select it to open the properties editor console.

  4. Add a new HTTP Listener Configuration global element:

    1. In General Settings, click the + button:

      ams3 05
    2. Configure the following HTTP parameters, and retain the default values for the other fields:

      Field Value





    3. Reference the HTTP Listener Configuration global element.

  5. Drag an Amazon S3 connector into the flow, and double-click the connector to open its Properties Editor.

  6. If you do not have an existing Amazon S3 connector global element to choose, click the plus sign next to Connector Configuration.

  7. Configure the global element properties, then click OK.

  8. Configure the remaining parameters of the connector:

    ams3 06
    Field Value

    Display Name

    Enter a name for the connector instance.

    Connector Configuration

    Select a global configuration for the connector.


    Create bucket

    Bucket Name


    Canned ACL


    Add a HTTP Connector to request the MuleSoft logo from MuleSoft.

    ams3 07
    Field Value

    Display Name

    Enter a name for the connector instance.

    Connector Configuration

    Create a new default configuration with Host as mulesoft.org and Port as 80.


    Set the path as sites/all/themes/mulesoft_community/logo.png



  9. Drag another Amazon S3 connector to create the above requested MuleSoft logo in the selected Amazon S3 Bucket.

    ams3 08
    Field Value

    Display Name

    Enter a name of your choice.

    Connector Configuration

    Select the global configuration that you created.


    Create object

    Bucket Name




    Content Reference


  10. Add another Amazon S3 connector to get the newly created MuleSoft logo image object from the bucket:

    ams3 09
    Field Value

    Display Name

    Enter a name for the connector instance.

    Connector Configuration

    Select the global configuration you create.


    Get object content

    Bucket Name




  11. Finally, add another Amazon S3 connector to delete the bucket. Since delete bucket operation’s return type is void, the payload contains the object returned by the get image operation.

ams3 10

XML Code

For this code to work in Anypoint Studio, you must provide Amazon Web Services credentials. You can either replace the variables with their values in the code, or you can provide the values for each variable in the src/main/app/mule-app.properties file.
<?xml version="1.0" encoding="UTF-8" ?>
<mule xmlns:s3="http://www.mulesoft.org/schema/mule/s3" xmlns:http="http://www.mulesoft.org/schema/mule/http" xmlns:tracking="http://www.mulesoft.org/schema/mule/ee/tracking" xmlns="http://www.mulesoft.org/schema/mule/core" xmlns:doc="http://www.mulesoft.org/schema/mule/documentation"
xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-current.xsd
http://www.mulesoft.org/schema/mule/s3/current/mule-s3.xsd" >

<http:listener-config name="HTTP_Listener_Configuration" host="" port="8081" doc:name="HTTP Listener Configuration" />
<http:request-config name="HTTP_Request_Configuration" host="mulesoft.org" port="80" doc:name="HTTP Request Configuration" />
<s3:config name="Amazon_S3_Configuration" accessKey="${config.accessKey}" secretKey="${config.secretKey}" doc:name="Amazon S3: Configuration" />
  <flow name="s3-example-flow" >
    <http:listener config-ref="HTTP_Listener_Configuration" path="/" doc:name="HTTP" />
    <s3:create-bucket config-ref="Amazon_S3_Configuration" bucketName="${config.bucket}" acl="PUBLIC_READ" doc:name="Create S3 Bucket" />
    <http:request config-ref="HTTP_Request_Configuration" path="sites/all/themes/mulesoft_community/logo.png" method="GET" doc:name="Get MuleSoft logo" />
    <s3:create-object config-ref="Amazon_S3_Configuration" doc:name="Create logo object in S3 bucket" acl="PUBLIC_READ" bucketName="${config.bucket}" key="mulesoft.png" />
    <s3:get-object-content config-ref="Amazon_S3_Configuration" bucketName="${config.bucket}" key="mulesoft.png" doc:name="Get Image" />
    <s3:delete-bucket config-ref="Amazon_S3_Configuration" bucketName="${config.bucket}" force="true" doc:name="Delete S3 Bucket" />

Connector Performance

To define the pooling profile for the connector manually, access the Pooling Profile tab in the applicable global element for the connector.

For background information on pooling, see Tuning Performance.

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