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title: Using Anypoint Studio to Configure Einstein AI Connector 1.1
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product: Einstein AI Connector
version: 1.1
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# Using Anypoint Studio to Configure Einstein AI Connector 1.1

> For the full documentation index, see: https://docs.mulesoft.com/llms.txt

Anypoint Studio (Studio) editors help you design and update your Mule applications, properties, and
configuration files.

To add and configure a connector in Studio:

1.  [Create a Mule project](#create-mule-project).

2.  [Add the connector to your Mule project](#add-connector-to-project).

3.  [Configure a source for the connector’s flow](#configure-source).

4.  [Add a connector operation to the flow](#add-connector-operation).

5.  [Configure a global element for the connector](#configure-global-element).

6.  [Configure the other connector fields](#configure-other-fields).

When you run the connector, you can view the app log to check for problems in real time, as
described in [View the App Log](#view-app-log).

If you are new to configuring connectors in Studio, see
[Using Anypoint Studio to Configure a Connector](https://docs.mulesoft.com/connectors/introduction/intro-config-use-studio).
If, after reading this topic, you need additional information about the connector fields, see the
[Einstein AI Connector Reference](https://docs.mulesoft.com/einstein-ai-connector/1.1/einstein-ai-connector-reference).

## Create a Mule Project

In Studio, create a new Mule project in which to add and configure Anypoint Connector for Einstein
AI (Einstein AI Connector):

1.  In Studio, select **File > New > Mule Project**.

2.  Enter a name for your Mule project and click **Finish**.

## Add the Connector to Your Mule Project

Add Einstein AI Connector to your Mule project to automatically populate the XML code with the
connector’s namespace and schema location and add the required dependencies to the project’s
`pom.xml` file:

1.  In **Mule Palette**, click **(X) Search in Exchange**.

2.  In **Add Dependencies to Project**, type `einstein ai` in the search field.

3.  Click **Einstein AI Connector** in **Available modules**.

4.  Click **Add**.

5.  Click **Finish**.

    The connector appears in the **Mule Palette**.

![Einstein AI Connector highlighted in the Mule Palette with a list of the connector’s operations](/mulesoft/current/en-us/einstein-ai-connector/1.1/_images/einstein-ai-palette-operations.png)

Adding a connector to a Mule project in Studio doesn’t make that connector available to other
projects in your Studio workspace.

## Configure a Source

A source initiates a flow when a specified condition is met. You can configure one of these sources
to use with Einstein AI Connector:

- **HTTP > Listener**

  Initiates a flow each time it receives a request on the configured host and port

- **Scheduler**

  Initiates a flow when a time-based condition is met

For example, to configure an **HTTP > Listener** source, follow these steps:

1.  In **Mule Palette**, select **HTTP > Listener**.

2.  Drag **Listener** to the Studio canvas.

3.  On the **Listener** configuration screen, optionally change the value of the **Display Name**
    field.

4.  Specify a value for the **Path** field.

5.  Click the plus sign (**+**) next to the **Connector configuration** field to configure a global
    element that can be used by all instances of the **HTTP > Listener** source in the app.

6.  On the **General** tab, specify the connection information for the connector.

7.  On the **TLS** tab, optionally specify the TLS information for the connector.

8.  On the **Advanced** tab, optionally specify reconnection information, including a reconnection
    strategy.

9.  Click **Test Connection** to confirm that Mule can connect with the specified server.

10. Click **OK**.

## Add a Connector Operation to the Flow

When you add a connector operation to your flow, you are specifying an action for that connector to
perform.

To add an operation for Einstein AI Connector, follow these steps:

1.  In **Mule Palette**, select **Einstein AI** and then select the operation to add.

2.  Drag the operation onto the Studio canvas, next to the source.

## Configure a Global Element for the Connector

When you configure a connector, configure a global element that all instances of that connector in
the app can use. Configuring a global element requires you to provide the authentication credentials
that the connector requires to access the target system.

You can reference a configuration file that contains ANT-style property placeholders (recommended),
or you can enter your authorization credentials in the global configuration properties. For
information about the benefits of using property placeholders and how to configure them, see
[Anypoint Connector Configuration](https://docs.mulesoft.com/connectors/introduction/intro-connector-configuration-overview).

To configure the global element for Einstein AI Connector, follow these steps:

1.  Select the operation in the Studio canvas.

2.  On the properties screen for the operation, click the Add (**+**) icon to access the global
    element configuration fields.

3.  In the **Global Elements Properties > General** tab, enter:

    - **Client Id**

      The OAuth public client ID as registered with the service provider.

    - **Client secret**

      The OAuth client secret that corresponds to the client ID.

    - **Token URL**

      Service provider’s token endpoint URL.

    - **Scopes**

      The OAuth scopes to request during the OAuth dance.

4.  Click **OK**.

## Configure Additional Connector Fields

After you configure a global element for the connector, configure the other required fields. The
required fields vary depending on which connector operation you use.

## View the App Log

To check for problems, you can view the app log as follows:

- If you’re running the app from Anypoint Platform, the app log output is visible on the Anypoint
  Studio console window.

- If you’re running the app using Mule from the command line, the app log output is visible in your
  operating system console.

Unless the log file path is customized in the app’s log file (`log4j2.xml`), you can also view the
app log in the default location `MULE_HOME/logs/<app-name>.log`. You can configure the location of
the log path in the app log file `log4j2.xml`.

## See Also

- [Introduction to Anypoint Connectors](https://docs.mulesoft.com/connectors/introduction/introduction-to-anypoint-connectors)

- [Using Studio to Configure a Connector](https://docs.mulesoft.com/connectors/introduction/intro-config-use-studio)

- [Einstein AI Connector Reference](https://docs.mulesoft.com/einstein-ai-connector/1.1/einstein-ai-connector-reference)

- [Einstein AI - Additional Configuration Information](https://docs.mulesoft.com/einstein-ai-connector/1.1/einstein-ai-additional-config)

- [Salesforce Help](https://help.salesforce.com)
