How to Connect to Live SAP Ariba Source Data from Google ADK Agents (via CData Connect AI)

Jerod Johnson
Director, Technology Evangelism

Leverage the CData Connect AI Remote MCP Server to enable Google ADK agents to securely read and take actions on your SAP Ariba Source data for you.

Google ADK (Agent Development Kit) is a powerful, model-agnostic framework for building AI agents that can interact with various data sources and services. When combined with CData Connect AI Remote MCP, you can leverage Google ADK to build intelligent agents that interact with your SAP Ariba Source data in real-time through natural language queries. This article outlines the process of connecting to SAP Ariba Source using Connect AI Remote MCP and configuring a Google ADK agent to interact with your SAP Ariba Source data through ADK Web.

CData Connect AI offers a dedicated cloud-to-cloud interface for connecting to SAP Ariba Source data. The CData Connect AI Remote MCP Server enables secure communication between Google ADK agents and SAP Ariba Source. This allows your agents to read from and take actions on your SAP Ariba Source data, all without the need for data replication to a natively supported database. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to SAP Ariba Source. This leverages server-side processing to swiftly deliver the requested SAP Ariba Source data.

In this article, we show how to configure a Google ADK agent to conversationally explore (or Vibe Query) your data using natural language. With Connect AI you can build agents with access to live SAP Ariba Source data, plus hundreds of other sources.

Step 1: Configure SAP Ariba Source Connectivity for Google ADK

Connectivity to SAP Ariba Source from Google ADK agents is made possible through CData Connect AI Remote MCP. To interact with SAP Ariba Source data from your ADK agent, we start by creating and configuring a SAP Ariba Source connection in CData Connect AI.

Log into Connect AI, click Sources, and then click Add Connection

Select "SAP Ariba Source" from the Add Connection panel

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:
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.
Click Save & Test
Navigate to the Permissions tab in the Add SAP Ariba Source Connection page and update the User-based permissions.

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from your Google ADK agent. It is best practice to create a separate PAT for each service to maintain granularity of access.

Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
On the Settings page, go to the Access Tokens section and click Create PAT.
Give the PAT a name and click Create.
The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, we are ready to connect to SAP Ariba Source data from your Google ADK agent.

Step 2: Configure Your Google ADK Agent for CData Connect AI

Follow these steps to configure your Google ADK agent to connect to CData Connect AI. You can use our pre-built agent as a starting point, available at https://github.com/CDataSoftware/adk-mcp-client, or follow the instructions below to create your own.

Ensure you have the Google ADK Python SDK installed. If not, install it using pip:
```
pip install google-genkit google-adk
```
Create or update your agent's configuration file (typically agent.py) to include the CData Connect AI MCP connection. You'll need to configure the MCP toolset with your Connect AI credentials.
Set up your environment variables or configuration for the MCP server connection. Create a .env file in your project root with the following variables:
```
MCP_SERVER_URL=https://mcp.cloud.cdata.com/mcp
MCP_USERNAME=YOUR_EMAIL
MCP_PASSWORD=YOUR_PAT
    
```
Replace YOUR_EMAIL with your Connect AI email address and YOUR_PAT with the Personal Access Token created in Step 1.

Configure your agent.py file to use the CData Connect AI MCP Server. Here's an example configuration:

import os
import base64
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import MCPToolset
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from dotenv import load_dotenv

# Load environment variables
load_dotenv()

# Get configuration from environment
MCP_SERVER_URL = os.getenv('MCP_SERVER_URL', 'https://mcp.cloud.cdata.com/mcp')
MCP_USERNAME = os.getenv('MCP_USERNAME', '')
MCP_PASSWORD = os.getenv('MCP_PASSWORD', '')

# Create auth header for MCP server
auth_header = {}
if MCP_USERNAME and MCP_PASSWORD:
    credentials = f"{MCP_USERNAME}:{MCP_PASSWORD}"
    auth_header = {"Authorization": f"Basic {base64.b64encode(credentials.encode()).decode()}"}

# Define your agent with CData MCP tools
root_agent = LlmAgent(
    model='gemini-2.0-flash-exp',  # You can use any supported model
    name='data_query_assistant',
    instruction="""You are a data query assistant with access to SAP Ariba Source data through CData Connect AI.
    
    You can help users explore and query their SAP Ariba Source data in real-time.
    Use the available MCP tools to:
    - List available databases and schemas
    - Explore table structures
    - Execute SQL queries
    - Provide insights about the data
    
    Always explain what you're doing and format results clearly.""",
    
    tools=[
        MCPToolset(
            connection_params=StreamableHTTPConnectionParams(
                url=MCP_SERVER_URL,
                headers=auth_header
            )
        )
    ],
)

Run your agent with ADK Web. From your project directory, execute:
```
adk web --port 5000 .
```
Note: If you installed ADK with pip install --user, the adk command may not be in your PATH. You can either:
- Use the full path: ~/Library/Python/3.x/bin/adk (on macOS)
- Add to PATH: export PATH="$HOME/Library/Python/3.x/bin:$PATH"
- Use a virtual environment where the PATH is automatically configured
Open the ADK Web interface in your browser (typically http://localhost:5000).
Select your agent from the dropdown menu (it will be named based on the name parameter in your agent configuration).
Start interacting with your SAP Ariba Source data through natural language queries. Your agent now has access to your SAP Ariba Source data through the CData Connect AI MCP Server.

Step 3: Build Intelligent Agents with Live SAP Ariba Source Data Access

With your Google ADK agent configured and connected to CData Connect AI, you can now build sophisticated agents that interact with your SAP Ariba Source data using natural language. The MCP integration provides your agents with powerful data access capabilities.

Available MCP Tools for Your Agent

Your Google ADK agent has access to the following CData Connect AI MCP tools:

queryData: Execute SQL queries against connected data sources and retrieve results
getCatalogs: Retrieve a list of available connections from CData Connect AI
getSchemas: Retrieve database schemas for a specific catalog
getTables: Retrieve database tables for a specific catalog and schema
getColumns: Retrieve column metadata for a specific table
getProcedures: Retrieve stored procedures for a specific catalog and schema
getProcedureParameters: Retrieve parameter metadata for stored procedures
executeProcedure: Execute stored procedures with parameters

Example Use Cases

Here are some examples of what your Google ADK agents can do with live SAP Ariba Source data access:

Data Analysis Agent: Build an agent that analyzes trends, patterns, and anomalies in your SAP Ariba Source data
Report Generation Agent: Create agents that generate custom reports based on natural language requests
Data Quality Agent: Develop agents that monitor and validate data quality in real-time
Business Intelligence Agent: Build agents that answer complex business questions by querying multiple data sources
Automated Workflow Agent: Create agents that trigger actions based on data conditions in SAP Ariba Source

Testing Your Agent

Once deployed to ADK Web, you can interact with your agent through natural language queries. For example:

"Show me all customers from the last 30 days"
"What are the top performing products this quarter?"
"Analyze sales trends and identify anomalies"
"Generate a summary report of active projects"
"Find all records that match specific criteria"

Your Google ADK agent will automatically translate these natural language queries into appropriate SQL queries and execute them against your SAP Ariba Source data through the CData Connect AI MCP Server, providing real-time insights without requiring users to write complex SQL or understand the underlying data structure.

Get CData Connect AI

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