How to Use the Workday MCP in Vercel AI SDK

Q: How do I query Workday worker records using Vercel AI SDK?

You simply call the listworkers tool. Your agent client handles filtering by name or ID, and you get a stream of results back into your application's UI.

Q: Can I check time off requests in Workday with Vercel AI SDK?

Yep. Use the gettimeoffrequests tool. It pulls all pending requests for a specific worker, and you can display that list right on your screen as it loads.

Q: How do I use the Workday API in a modern front-end setup with Vercel AI SDK?

You call mcpClient.tools() to expose the server’s functions. The resulting stream allows you to display complex data, like payroll results from getpayrollresults, right when it arrives.

See Workday data appear in real-time using the Vercel AI SDK.

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Connect Workday MCP to Vercel AI SDK

Create your Vinkius account to connect Workday to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Workday with Vercel AI SDK

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Get Worker Profile Details

Need a worker's full profile? Use `get_worker` to pull detailed employee information directly into your UI. You pass an ID, and the data streams back instantly. It’s perfect for building dashboards where you can check things like manager names or department assignments as the user types—no loading spinner required.

Check Time Off Balances

Know how much PTO someone has left? The `get_time_off_balances` tool gets this data for any worker. Your agent streams these balances directly to the user interface. This means that when a manager checks an employee’s account, they see the available days appear live on the screen, making the whole experience feel fast and natural.

List Open Job Roles

To find current openings, call `list_job_requisitions`. This gives you a list of all open jobs at Workday. You can then stream this list right into your React component. This capability lets developers build job board views that pull live data from the backend and display it to end-users without hitting any dead ends or waiting for slow API calls.

Setup guide

Set up Workday MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Workday tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Workday transactions",
});

console.log(text);
await mcpClient.close();

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Common questions about Workday MCP in Vercel AI SDK

You simply call the `list_workers` tool. Your agent client handles filtering by name or ID, and you get a stream of results back into your application's UI.

Yep. Use the `get_time_off_requests` tool. It pulls all pending requests for a specific worker, and you can display that list right on your screen as it loads.

The MCP Server handles core HR records. You can get everything from payroll details via `get_payroll_results` to organizational structure using `list_supervisory_orgs`. It covers worker management and pay data.

You call `mcpClient.tools()` to expose the server’s functions. The resulting stream allows you to display complex data, like payroll results from `get_payroll_results`, right when it arrives.

This MCP Server touches worker profile data and time off balances. Specifically, you access employee IDs, names, and available PTO counts using tools like `get_worker` and `get_time_off_balances`.

Use it with your favorite AI tools

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