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VOOZH | about |
GenSpark is built for developers and enterprise teams who want to create intelligent, conversational AI experiences powered by real-time data. It's flexible tooling and agentic capabilities make it easy to integrate LLMs, automate complex workflows, and build interactive applications that adapt to user intent. However, when these AI interactions require data beyond local context or predefined APIs, many implementations fall back on custom middleware, manual integrations, or scheduled ETL pipelines to sync information into local stores. This introduces unnecessary complexity, increases maintenance overhead, slows response times, and limits the real-time intelligence your GenSpark agents can provide.
CData Connect AI eliminates these barriers by delivering live, secure connectivity to more than 300 enterprise applications, databases, ERPs, and analytics platforms. Through CData Connect AI remote Model Context Protocol (MCP) Server, GenSpark agents can query, read, and act on real-time enterprise data without replication or custom integration code. The result is grounded, accurate responses, faster reasoning, and automated, cross-system decision-making all with stronger governance and fewer moving parts.
This guide outlines the steps required to configure CData Connect AI MCP connectivity, register the MCP Server in GenSpark, and enable your GenSpark agents to work seamlessly with live enterprise data in real time.
CData provides the easiest way to access and integrate live data from Workday. Customers use CData connectivity to:
Users frequently integrate Workday with analytics tools such as Tableau, Power BI, and Excel, and leverage our tools to replicate Workday data to databases or data warehouses. Access is secured at the user level, based on the authenticated user's identity and role.
For more information on configuring Workday to work with CData, refer to our Knowledge Base articles: Comprehensive Workday Connectivity through Workday WQL and Reports-as-a-Service & Workday + CData: Connection & Integration Best Practices.
Before starting, ensure you have:
Ensure you have these credentials ready for the connection:
Connectivity to Workday from GenSpark is made possible through CData Connect AI Remote MCP. To interact with Workday data from GenSpark, we start by creating and configuring a Workday connection in CData Connect AI.
To connect to Workday, users need to find the Tenant and BaseURL and then select their API type.
To obtain the BaseURL and Tenant properties, log into Workday and search for "View API Clients." On this screen, you'll find the Workday REST API Endpoint, a URL that includes both the BaseURL and Tenant.
The format of the REST API Endpoint is: https://domain.com/subdirectories/mycompany, where:
The value you use for the ConnectionType property determines which Workday API you use. See our Community Article for more information on Workday connectivity options and best practices.
| API | ConnectionType Value |
|---|---|
| WQL | WQL |
| Reports as a Service | Reports |
| REST | REST |
| SOAP | SOAP |
Your method of authentication depends on which API you are using.
See the Help documentation for more information on configuring OAuth with Workday.
π Configuring a connection (Salesforce is shown)A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from GenSpark. It is best practice to create a separate PAT for each service to maintain granularity of access.
With the connection configured and a PAT generated, we are ready to connect to Workday data from GenSpark.
Fill in the server configuration:
NOTE: Use Basic authentication, where you combine your Connect AI email address (e.g. [email protected]) with the PAT you generated earlier (e.g. AbC123...xYz890) with a colon (:) in the Authorization header.
| Field | Value |
|---|---|
| Name | CData MCP Server (or any name you prefer) |
| Server Type | SteamableHttp |
| Server URL | https://mcp.cloud.cdata.com/mcp |
| Request Header | {"Authorization": "Basic [email protected]:AbC123...xYz890"} |
Once added, GenSpark will automatically load all MCP tools exposed through your Connect AI workspace.
In GenSpark chat interface enter any sample prompt:
List the tools present in CData Connect AI MCP Server.π Run Query in GenSpark
GenSpark and CData Connect AI together enable intelligent, AI-driven workflows where agents can securely access live enterprise data and operate with real-time awareness without ETL pipelines, data sync jobs, or custom integration logic. This streamlined approach delivers stronger governance, lower operational overhead, and faster, more grounded responses from your AI tools.
Start your free trial today to see how CData can empower GenSpark with live, secure access to hundreds of external systems.
Learn more about CData Connect AI or sign up for free trial access:
Free Trial