Integrate Goose with Live SAP Ariba Source Data via CData Connect AI

Yazhini G
Yazhini G
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Goose to securely access and query live SAP Ariba Source data from within the local AI agent.

Goose is an open source AI agent that runs locally on your machine and works with a wide range of LLM providers. It supports the model context protocol (MCP) through its extensions framework, so you can add external tools and data sources and give the agent access to live systems beyond the model's training data.

By integrating Goose with CData Connect AI through the built-in MCP Server, Goose gains governed, real-time access to live SAP Ariba Source data. You can list catalogs, explore schemas, and query records from SAP Ariba Source data using natural language prompts, with all data access running securely against authorized sources.

This article explains how to configure SAP Ariba Source connectivity in Connect AI, generate the required personal access token, install and set up Goose, add the Connect AI MCP Server as a custom extension, and verify the integration by querying live SAP Ariba Source data from the Goose chat.

Step 1: Configure SAP Ariba Source connectivity for Goose

Connectivity to SAP Ariba Source from Goose is made possible through Connect AI's Remote MCP Server. To interact with SAP Ariba Source data from Goose, start by creating and configuring a SAP Ariba Source connection in Connect AI.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a connection in Connect AI
  3. Select SAP Ariba Source from the Add Connection panel
  4. Selecting data source
  5. Enter the necessary authentication properties to connect to SAP Ariba Source.

    In order to connect with SAP Ariba Source, set the following:

    • API: Specify which API you would like the provider to retrieve SAP Ariba data from. Select the Supplier, Sourcing Project Management, or Contract API based on your business role (possible values are SupplierDataAPIWithPaginationV4, SourcingProjectManagementAPIV2, or ContractAPIV1).
    • DataCenter: The data center where your account's data is hosted.
    • Realm: The name of the site you want to access.
    • Environment: Indicate whether you are connecting to a test or production environment (possible values are TEST or PRODUCTION).

    If you are connecting to the Supplier Data API or the Contract API, additionally set the following:

    • User: Id of the user on whose behalf API calls are invoked.
    • PasswordAdapter: The password associated with the authenticating User.

    If you're connecting to the Supplier API, set ProjectId to the Id of the sourcing project you want to retrieve data from.

    Authenticating with OAuth

    After setting connection properties, you need to configure OAuth connectivity to authenticate.

    • Set AuthScheme to OAuthClient.
    • Register an application with the service to obtain the APIKey, OAuthClientId and OAuthClientSecret.

      For more information on creating an OAuth application, refer to the Help documentation.

    Automatic OAuth

    After setting the following, you are ready to connect:

      APIKey: The Application key in your app settings. OAuthClientId: The OAuth Client Id in your app settings. OAuthClientSecret: The OAuth Secret in your app settings.

    When you connect, the provider automatically completes the OAuth process:

    1. The provider obtains an access token from SAP Ariba and uses it to request data.
    2. The provider refreshes the access token automatically when it expires.
    3. The OAuth values are saved in memory relative to the location specified in OAuthSettingsLocation.
    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab and update user-based permissions
  8. Updating permissions

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Goose. It is best practice to create a separate PAT for each integration to maintain granular access control.

  1. Click the gear icon () at the top right of the Connect AI app to open Settings
  2. On the Settings page, go to the Access Tokens section and click Create PAT
  3. Give the PAT a descriptive name and click Create
  4. Creating a new PAT
  5. Copy the token when displayed and store it securely. It will not be shown again

With the SAP Ariba Source connection configured and a PAT generated, Goose can now connect to SAP Ariba Source data through Connect AI.

Step 2: Install and set up Goose

Next, install Goose, choose an LLM provider, and add the Connect AI Remote MCP Server as a custom extension so the agent can discover and call live data tools through Connect AI.

  1. Download and install Goose by following the official installation guide, then launch the application
  2. On the Welcome to goose screen, choose an AI provider. Select Use Free/Local Providers to run a local model, or Connect to a Provider to configure a provider such as OpenAI, Anthropic, or Google, and enter the required API key Choosing an AI provider in Goose
  3. In the left navigation, click Extensions, then click + Add custom extension Adding a custom extension in Goose
  4. In the extension dialog, configure the server with the following values:
    • Extension Name: CData MCP, or any name of your choice
    • Type: Streamable HTTP
    • Endpoint: https://mcp.cloud.cdata.com/mcp
  5. Under Request Headers, add the following two headers and click + Add after each pair:
    • Authorization: Basic your_base64_encoded_email_PAT
    • Content-Type: application/json

    Note: Goose will use Basic authentication with Connect AI. Combine your Connect AI user email and the PAT you created earlier in the format email:PAT, base64 encode the combined string, and prefix it with Basic. For example, given [email protected]:ABC123...XYZ789, the Authorization header value becomes something like: Basic dXNlckBkb21haW4uY29tOkFCQzEyMy4uLlhZWjc4OQ==

    Configuring the Connect AI MCP Server in Goose
  6. Click Save to save the configuration
  7. Return to the chat, click the extensions icon at the bottom of the chat input, and confirm that the configured MCP is enabled Enabling the CData MCP extension in the chat

With the MCP server added and an LLM provider configured, Goose is ready to query live SAP Ariba Source data through Connect AI.

Step 3: Query live SAP Ariba Source data from Goose

With the integration complete, use the Goose chat to interact with live SAP Ariba Source data through natural language prompts handled by the configured LLM.

  1. With the CData MCP extension enabled, type a prompt in the chat, for example:
    • List catalogs from my CData MCP
    • Show the available schemas and tables for SAP Ariba Source
    • Query the top 5 records from a table in SAP Ariba Source data
  2. Goose calls the Connect AI MCP Server and returns live results from SAP Ariba Source data Querying live data from Goose

At this point, your Goose agent communicates with the Connect AI MCP Server and retrieves live SAP Ariba Source data through remote MCP tools directly from the chat.

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