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URL: https://www.cdata.com/kb/tech/saparibasource-cloud-zed-editor.rst

⇱ Query Live SAP Ariba Source Data in Zed Editor via CData Connect AI

Query Live SAP Ariba Source Data in Zed Editor via CData Connect AI

👁 Yazhini G
Yazhini G
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Zed Editor to securely access and query live SAP Ariba Source data directly from the development environment.

Zed is a high-performance, open-source code editor built for speed and collaboration. Its built-in AI agent panel supports LLM-powered interactions and MCP (Model Context Protocol) tool integrations, enabling developers to access live external data sources directly within the editor.

By integrating Zed with CData Connect AI through the built-in MCP (Model Context Protocol) Server, the Zed AI agent gains governed, real-time access to live SAP Ariba Source data. This enables developers to query schemas, retrieve records, and explore SAP Ariba Source data without leaving the editor or writing custom integration code.

This article explains how to configure SAP Ariba Source connectivity in Connect AI, register the CData MCP Server in Zed, and query live SAP Ariba Source data from the Zed agent panel.

Step 1: Configure SAP Ariba Source connectivity for Zed

Connectivity to SAP Ariba Source from Zed is made possible through CData Connect AI's Remote MCP Server. To interact with SAP Ariba Source data from Zed, 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. 👁 Adding a connection in Connect AI
  2. Select SAP Ariba Source from the Add Connection panel
    3. 👁 Selecting data source
  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.
    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab and update user-based permissions
    6. 👁 Updating permissions

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Zed. 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
  4. 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, Zed can now connect to SAP Ariba Source data through Connect AI.

Step 2: Configure Connect AI in Zed

Now, let's register the CData Connect AI MCP endpoint in Zed so that the built-in AI agent can discover and call live data tools.

  1. Download and install Zed
  2. Open the agent panel by pressing Ctrl + Shift + /, or by clicking the sparkle icon at the bottom right of the editor
  3. In the agent panel, click the ... (toggle agent menu) and select Add Custom Server from the dropdown 👁 Opening the agent menu to add a custom MCP server
  4. Select the Configure Remote option to configure CData's MCP
  5. An Add MCP Server dialog opens displaying a remote server configuration template. Replace the placeholder content with the following JSON: 
    {
 "cdata": {
 "url": "https://mcp.cloud.cdata.com/mcp",
 "headers": {
 "Authorization": "Basic your_base64_encoded_email_PAT"
 }
 }
}

    Note: Combine your Connect AI email and PAT in the format email:PAT, Base64 encode the combined string, and prefix it with Basic. For example, given [email protected]:ABC123...XYZ, the header value becomes something like: Basic dXNlckBteWRvbWFpbjphSzkvbVB4Mi9Rcjd2TjQ...

    👁 Pasting the CData Connect AI MCP Server configuration
  6. Click Add Server or press Ctrl + Enter to register the MCP server

Configure an LLM provider

Zed requires at least one LLM provider to power the agent's reasoning. Configure a provider so the agent can interpret queries and call MCP tools through Connect AI.

  1. Click the ... (toggle agent menu) and select Settings
  2. Under LLM Providers, expand your preferred provider (e.g., Anthropic, OpenAI, Google AI) and enter your API key
  3. Under Model Context Protocol (MCP) Servers, confirm that cdata appears with a green dot and the toggle is enabled 👁 Verifying the CData MCP Server is enabled in Zed Settings

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

Step 3: Query live SAP Ariba Source data from the Zed agent

With the integration complete, use the Zed agent panel to explore and interact with live SAP Ariba Source data through natural language prompts.

  1. Open the agent panel using Ctrl + Shift + / and start a new thread
  2. Enter a prompt to interact with your data, for example:
    • List all catalogs in my cdata connection
    • Show the available schemas and tables for SAP Ariba Source
    • Query the top 5 records from a table in SAP Ariba Source data
  3. The agent calls the CData Connect AI MCP Server and returns live results from SAP Ariba Source data 👁 Querying live data from the Zed agent panel

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

Get CData Connect AI

To access hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today! Start a free 14-day trial of CData Connect AI today, and as always, our world-class Support Team is available to assist you with any questions you may have.