How to Connect to Live SAP Ariba Source Data from Sourcegraph Amp (via CData Connect AI)

Somya Sharma
Somya Sharma
Technical Marketing Engineer
Integrate Sourcegraph Amp with CData Connect AI to query and manage live SAP Ariba Source data securely in real time.

Sourcegraph Amp is a modern AI agent environment designed for building intelligent, production-ready assistants capable of stateful reasoning, automatic context management, and native MCP (Model Context Protocol) integration. When combined with CData Connect AI, you can leverage Amp to create agents that interact with your SAP Ariba Source data in real time using natural language or SQL-based queries.

CData Connect AI provides a secure, cloud-to-cloud interface for accessing SAP Ariba Source data. Through the Connect AI Remote MCP Server, Amp connects directly to SAP Ariba Source, enabling live data queries and operations without replication. With optimized pushdown capabilities, CData Connect AI executes SQL operations including filters, aggregations, and joins directly in SAP Ariba Source for fast, real-time performance.

In this article, we demonstrate how to configure the Amp agent to conversationally explore your SAP Ariba Source data using natural language or SQL. With Connect AI, you can easily build agents that have secure, live access to SAP Ariba Source along with hundreds of other enterprise data sources.

Prerequisites

  1. An active CData Connect AI
  2. The Sourcegraph Amp VS Code extension or Amp CLI installed
  3. Node.js v20 or higher installed
  4. Access to SAP Ariba Source

Step 1: Configure SAP Ariba Source Connectivity for Sourcegraph Amp

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Select "SAP Ariba Source" from the Add Connection panel
  3. 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.
  4. Click Save & Test

Step 2: Set Up Amp for CData Connect AI

Copy the MCP Endpoint

Amp communicates with Connect AI through the hosted MCP endpoint: 

https://mcp.cloud.cdata.com/mcp

This endpoint provides secure, cloud-to-cloud communication between Amp and your Connect AI workspace.

Generate Base64 Credentials

To authenticate Amp with Connect AI, generate your Base64-encoded credentials. For example, in PowerShell: 

{Convert}::ToBase64String{(Text.Encoding)}::ASCII.GetBytes("[email protected]:yourPAT")

Replace [email protected] with your Connect AI email and yourPAT with your Personal Access Token.

Register the MCP Server in Amp

Once you have your Base64 string, register the CData Connect AI MCP server with Amp using the following command: 

amp mcp add cdata-connect-ai -- npx -y mcp-remote@latest https://mcp.cloud.cdata.com/mcp --header "Authorization: Basic "

This adds your Connect AI configuration to Amp's settings file, enabling communication with CData Connect AI.

Verify Your Connection and Explore Data

  1. Create a New Thread

    2. Start a new Amp session to begin interacting with your data:

    amp thread new

  2. Enter the Interactive Chat

    3. Connect to the new thread using: 

    amp
    .

  3. Verify MCP Servers

    4. Inside the Amp shell, check your registered MCP servers: 

    list mcp
    .

  4. Confirm Your Data Source

    5. Confirm that your connected SAP Ariba Source data appears as a catalog by running 

    getCatalogs
    .

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

With your Amp application 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 Amp application has access to the following CData Connect AI MCP tools:

  • getCatalogs: Lists all data source catalogs (e.g., SAPAribaSource1)
  • getSchemas: Returns database schemas within the connected catalog
  • getTables: Lists all tables and views available under a given schema
  • getColumns: Returns column definitions for a specific table or view
  • queryData: Executes SQL queries (SELECT, INSERT, UPDATE, DELETE)
  • getProcedures: Lists stored procedures or API endpoints
  • getProcedureParameters: Returns metadata for stored procedure parameters
  • executeProcedure: Invokes stored procedures (e.g., SAP Ariba Source actions)

Key Features of Amp

Amp provides several production-ready capabilities that make it ideal for building intelligent, data-aware AI agents:

  • Automatic Context Management: Amp maintains and recalls conversational context automatically, enabling seamless multi-turn interactions without manual state tracking.
  • Stateful Conversations: Preserve context and memory across multiple queries to create natural, human-like conversations.
  • Native MCP Integration: Amp natively supports the Model Context Protocol (MCP), allowing secure, real-time access to live data from CData Connect AI and other MCP-compatible servers.
  • Tool-Oriented Architecture: Tools are treated as first-class components with managed invocation, input validation, and error handling.
  • Efficient Context Handling: Amp optimizes prompts dynamically, ensuring relevant information is preserved even when approaching model token limits.
  • Cross-Source Querying: Combine and query multiple connected data sources within a single conversational workflow.
  • Fine-Grained Permission Controls: Define and enforce tool access levels to maintain data governance and secure integrations.
  • Developer-Friendly CLI and SDK: Manage MCP connections, configure agents, and test workflows easily from the Amp CLI or VS Code extension.

Example Use Cases

Here are some examples of what your Amp agents can do with live data access through CData Connect AI:

  • Data Analysis Agent: Identify trends and anomalies in SAP Ariba Source data.
  • Report Generation Agent: Generate reports from natural language prompts.
  • Interactive Chatbot: Explain insights conversationally using live data.
  • Data Quality Agent: Monitor and flag real-time data inconsistencies.
  • Automated Workflow Agent: Trigger alerts based on defined data conditions.

Testing Your Agent

Once your agent is running, you can interact with it through natural language queries. For example:

  • "Show me all new leads from the past 30 days."
  • "What are the top-performing campaigns this quarter?"
  • "Analyze revenue growth and highlight anomalies."
  • "Generate a summary report of current opportunities."
  • "Find all records where status is pending approval."

Get CData Connect AI

To get live data access to 300+ SaaS, Big Data, and NoSQL sources directly from your Amp agent environment, try CData Connect AI today!

Ready to get started?

Learn more about CData Connect AI or sign up for free trial access:

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