Connecting Mastra with Workday Data via CData Connect AI MCP Server

Mastra is designed for developers and enterprise teams building intelligent, composable AI agents. Its modular framework and declarative architecture make it simple to orchestrate agents, integrate LLMs, and automate data-driven workflows. But when agents need to work with data beyond their local memory or predefined APIs, many implementations rely on custom middleware or scheduled syncs to copy data from external systems into local stores. This approach adds complexity, increases maintenance overhead, introduces latency, and limits the real-time potential of your agents.

CData Connect AI bridges this gap with live, direct connectivity to more than 300 enterprise applications, databases, ERPs, and analytics platforms. Through CData's remote Model Context Protocol (MCP) Server, Mastra agents can securely query, read, and act on real-time data without replication. The result is grounded responses, faster reasoning, and automated decision-making across systems all with stronger governance and fewer moving parts.

This article outlines the steps required to configure CData Connect AI MCP connectivity, register the MCP server in Mastra Studio, and build an agent that queries live Workday data in real time.

Getting Started

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Prerequisites

Before starting, make sure you have:

1. A CData Connect AI account
2. Node.js 18+ and npm installed
3. A working Mastra project (created via npm create mastra@latest)
4. Access to Workday

Credentials checklist

Ensure you have these credentials ready for the connection:

1. USERNAME: Your CData email login
2. PAT: Connect AI, go to Settings and click on Access Tokens (copy once)
3. MCP_BASE_URL: https://mcp.cloud.cdata.com/mcp

Step 1: Configure Workday connectivity for Mastra

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

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "Workday" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Workday.

   To connect to Workday, users need to find the Tenant and BaseURL and then select their API type.

   Obtaining the BaseURL and Tenant

   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:

   • https://domain.com/subdirectories/ is the BaseURL.
   • mycompany (the portion of the url after the very last slash) is the Tenant.
   For example, in the REST API endpoint https://wd3-impl-services1.workday.com/ccx/api/v1/mycompany, the BaseURL is https://wd3-impl-services1.workday.com and the Tenant is mycompany.

   Using ConnectionType to Select the API

   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

   
   

   Authentication

   Your method of authentication depends on which API you are using.

   • WQL, Reports as a Service, REST: Use OAuth authentication.
   • SOAP: Use Basic or OAuth authentication.

   See the Help documentation for more information on configuring OAuth with Workday.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Workday Connection page and update the User-based permissions. 👁 Updating permissions
   

Add a Personal Access Token

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

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create. 👁 Creating a new PAT
   
4. 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 Workday data from Mastra.

Step 2: Set up the Mastra project

• Open a terminal and navigate to your desired folder
• Create a new project:

  npm create mastra@latest

👁 Creating a New Project

• Open the folder in VS Code
• Install the required Mastra dependencies:

  npm install @mastra/core @mastra/libsql @mastra/memory

• Then install the MCP integration package separately:

  npm install @mastra/mcp

Step 3: Configure environment variables

Create a .env file at the project root with the following keys:

OPENAI_API_KEY=sk-...
[email protected]
CDATA_CONNECT_AI_PASSWORD=your_PAT

Restart your dev server after saving changes:

npm run dev

Step 4: Add the CData Connect AI agent

Create a file src/mastra/agents/connect-ai-agent.ts with the following code:

import { Agent } from "@mastra/core/agent";
import { Memory } from "@mastra/memory";
import { LibSQLStore } from "@mastra/libsql";
import { MCPClient } from "@mastra/mcp";

const mcpClient = new MCPClient({
 servers: {
 cdataConnectAI: {
 url: new URL("https://connect.cdata.com/mcp/"),
 requestInit: {
 headers: {
 Authorization: `Basic ${Buffer.from(
 `${process.env.CDATA_CONNECT_AI_USER}:${process.env.CDATA_CONNECT_AI_PASSWORD}`
 ).toString("base64")}`,
 },
 },
 },
 },
});

export const connectAIAgent = new Agent({
 name: "Connect AI Agent",
 instructions: "You are a data exploration and analysis assistant with access to CData Connect AI.",
 model: "openai/gpt-4o-mini",
 tools: await mcpClient.getTools(),
 memory: new Memory({
 storage: new LibSQLStore({ url: "file:../mastra.db" }),
 }),
});

Step 5: Update index.ts to register the agent

Replace the contents of src/mastra/index.ts with:

import { Mastra } from "@mastra/core/mastra";
import { PinoLogger } from "@mastra/loggers";
import { LibSQLStore } from "@mastra/libsql";
import { connectAIAgent } from "./agents/connect-ai-agent.js";

export const mastra = new Mastra({
 agents: { connectAIAgent },
 storage: new LibSQLStore({ url: "file:../mastra.db" }),
 logger: new PinoLogger({ name: "Mastra", level: "info" }),
 observability: { default: { enabled: true } },
});

Step 6: Run and verify the connection

Start your Mastra server:

npm run dev

👁 Start your Mastra server


Step 7: Run a live query in Mastra Studio

In Mastra Studio, open the chat interface and enter one of the following sample prompts:

List available catalogs from my connected data sources.

👁 Run QUery in Mastra Studio


Build real-time, data-aware agents with Mastra and CData

Mastra and CData Connect AI together enable powerful AI-driven workflows where agents have live access to enterprise data and act intelligently without sync pipelines or manual integration logic.

Start your free trial today to see how CData can empower Mastra with live, secure access to hundreds of external systems.