Workday with Vercel AI SDK

How to integrate Workday MCP with Vercel AI SDK v6

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Introduction Also integrate Workday with TL;DR What is Vercel AI SDK What is the Workday MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Composio SDK Step-by-step Guide Complete Code Conclusion How to build Workday MCP Agent with another framework Explore Other Toolkits FAQ

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Introduction

This guide walks you through connecting Workday to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Workday agent that can request vacation days for next week, check your current absence balance, find all open job postings i manage through natural language commands.

This guide will help you understand how to give your Vercel AI SDK agent real control over a Workday account through Composio's Workday MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Workday with

ChatGPT OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK LangChain Mastra AI LlamaIndex CrewAI

TL;DR

Here's what you'll learn:

How to set up and configure a Vercel AI SDK agent with Workday integration
Using Composio's Tool Router to dynamically load and access Workday tools
Creating an MCP client connection using HTTP transport
Building an interactive CLI chat interface with conversation history management
Handling tool calls and results within the Vercel AI SDK framework

What is Vercel AI SDK?

The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state.

Key features include:

streamText: Core function for streaming responses with real-time tool support
MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp
Step Counting: Control multi-step tool execution with stopWhen: stepCountIs()
OpenAI Provider: Native integration with OpenAI models

What is the Workday MCP server, and what's possible with it?

The Workday MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Workday account. It provides structured and secure access to your HR, payroll, and recruiting data, so your agent can perform actions like managing time off, retrieving employee details, tracking job postings, and analyzing interview feedback on your behalf.

Automated time off management: Easily create new time off requests or check absence balances for yourself or others, making leave management effortless.
Employee data and profile retrieval: Have your agent fetch profile details for the current user or any specified worker to simplify onboarding and HR processes.
Comprehensive job posting insights: Instantly retrieve information about job postings, including descriptions and screening questionnaires, to aid recruiters and hiring managers.
Interview feedback analysis: Let your agent pull and summarize interview feedback entries to streamline debriefs and improve hiring decisions.
Access to holiday and leave events: Quickly get holiday schedules and leave status values for better workforce planning and scheduling.

Supported Tools & Triggers

Tools

Triggers

Create Business Title ChangeCreates a business title change instance for a worker with the specified data.

Create Job ChangeTool to create a job change instance for a worker in Workday.

Create Payroll InputsTool to create payroll inputs in Workday.

Create Time Off RequestCreates a time off request for the specified worker and initiates the business process.

Get Absence BalanceRetrieves balance information for a specific worker's absence plan.

Get Assignment Change Group Cost CentersRetrieves cost center instances for organization assignment changes.

Get Assignment Change Group JobsRetrieves job instances for organization assignment changes.

Get Assignment TypesRetrieves assignment type values for job changes in Workday.

Get Business Title ChangeRetrieves a business title change instance by ID.

Get Business Title Change For WorkerTool to retrieve a business title change instance for a specific worker.

Get Candidate Availability TemplateTool to retrieve the candidate availability template version for a specific job posting.

Get Collection of JobsTool to retrieve a paginated collection of jobs from Workday Staffing system.

Get Collection of PayrollTool to retrieve a collection of payroll inputs from Workday.

Get Company Insider TypesRetrieves company insider types from Workday Staffing API.

Get Contingent Worker TypesTool to retrieve contingent worker types from Workday staffing API.

Get Country InfoRetrieves detailed information about a specific country from Workday.

Get CurrenciesRetrieves currency instances for job changes in Workday.

Get Current UserRetrieves the current authenticated worker's profile information from Workday.

Get GrantsRetrieves grant instances for organization assignment changes.

Get Headcount OptionsRetrieves headcount option instances that can be used as values for other endpoint parameters.

Get History Instance for WorkerTool to retrieve a specific history instance for a worker.

Get History Items for WorkerTool to retrieve a collection of history items for a specific worker.

Get Holiday EventsReturns the holiday events for the specified workers and time period.

Get InterviewTool to retrieve detailed information about a specific interview from Workday Recruiting.

Get Interview FeedbackRetrieves interview feedback for the specified interview ID from Workday Recruiting API.

Get Job By IDTool to retrieve detailed information about a single job instance by its ID.

Get Job Change FrequenciesRetrieves frequency instances for job changes in Workday.

Get Job Change Location InfoTool to retrieve location information for a specific job change in Workday.

Get Job Change PositionRetrieves position details for a specific job change in Workday Staffing API.

Get Job Change Reason InstanceRetrieves a job change reason instance from Workday.

Get Job Change ReasonsRetrieves a collection of job change reasons from Workday.

Get Job Change Reason ValuesRetrieves job change reason instances that can be used as values for other staffing endpoint parameters.

Get Job Changes Group TemplatesRetrieves job changes group template instances in Workday.

Get Job Changes Job ValuesRetrieves job instances that can be used as values for job changes parameters.

Get Job Changes Worker ValuesRetrieves worker instances that can be used as values for job changes parameters.

Get Job ClassificationsRetrieves job classification instances for job changes in Workday.

Get Job PostingRetrieves detailed information about a specific job posting including job description.

Get Job Posting QuestionnaireRetrieves screening questions and questionnaires associated with a specific job posting.

Get Job Profiles ValuesRetrieves job profile instances from Workday Staffing API.

Get Job Requisition ValuesRetrieves job requisition instances that can be used as values for other endpoint parameters.

Get Job WorkspaceTool to retrieve a single workspace instance for a specific job.

Get Job WorkspacesTool to retrieve a collection of workspaces for a specified job ID.

Get Leave Status ValuesGet all available leave status values from Workday.

Get My Job PostingsRetrieves job postings assigned to the authenticated user (current recruiter).

Get Organization Assignment Business UnitsRetrieves business unit instances for organization assignment changes.

Get Organization Assignment CustomsRetrieves custom organization assignment instances.

Get Organization Assignment FundsRetrieves fund instances for organization assignment changes.

Get Organization Assignment RegionsRetrieves region instances for organization assignment changes.

Get Organization Assignment WorkersRetrieves worker instances for organization assignment changes.

Get Pay Group by Job IDRetrieves the pay group for a specified job ID.

Get Payroll Input InstanceRetrieves detailed information for a single payroll input instance by ID.

Get Pay Slip Instance for WorkerRetrieves a specific pay slip instance for a worker.

Get Pay Slips for WorkerRetrieves a collection of pay slips for a specific worker.

Get Proposed Position ValuesRetrieves proposed position instances that can be used as values for job changes parameters.

Get ProspectRetrieves a single prospect instance for talent matching and best-fit analysis.

Get Prospect EducationsRetrieves the educational background of a prospect from Workday Recruiting API for talent matching and best-fit analysis.

Get Prospect ExperiencesRetrieves the work experience of a prospect for talent matching and best-fit analysis.

Get Prospect Resume AttachmentsRetrieves resume attachments for a specific prospect to help prepare for upcoming interviews.

Get Prospect SkillsRetrieves the skills of a prospect from Workday Recruiting API for talent matching and best-fit analysis.

Get Supervisory Organization ValuesRetrieves supervisory organization instances that can be used as values for job changes parameters.

Get Time Off Entries for WorkerRetrieves a collection of time off entries for a specific worker.

Get Time Off Plans For WorkerRetrieves a collection of time off plans for a specific worker.

Get Time Off Status ValuesRetrieves available time off status values from Workday.

Get Time TypesRetrieves time type values for job changes in Workday.

Get Worker Business Title ChangesRetrieves business title changes for a specific worker.

Get Worker Eligible Absence TypesRetrieves a collection of eligible absence types for the specified worker.

Get Worker InfoRetrieves detailed worker information including staffing data.

Get Worker Leaves of AbsenceRetrieves the Leaves Of Absence for the specified worker using the working absenceManagement v1 API.

Get Workers Collection StaffingTool to retrieve workers and current staffing information from Workday.

Get Worker Service DatesTool to retrieve service dates for a specified worker from Workday Staffing API v6.

Get Worker Staffing InformationTool to retrieve a worker's current staffing information from Workday.

Get Worker Time Off DetailsRetrieves a collection of time off details for the specified worker.

Get Worker TypesRetrieves worker type instances that can be used as values for job changes parameters.

Get Worker Valid Time Off DatesRetrieves valid time off dates for a worker, indicating when they are eligible to take time off.

Get Workspace InstancesTool to retrieve workspace instances that can be used as prompt values for other Workday API parameters.

Get Work Study AwardsRetrieves work study award instances for job changes in Workday.

List CountriesRetrieves country values from Workday Recruiting API.

List InterviewsRetrieves a list of interviews with job requisition and recruiter assignment details.

List Job PostingsRetrieves a paginated list of job postings from Workday Recruiting system.

List JobsRetrieves a collection of jobs from Workday Staffing system.

Retrieve Worker Leave of AbsenceRetrieves the leave of absence details for a specified worker.

Update An Existing PayrollTool to partially update an existing payroll input instance in Workday.

Update Job Change Business TitlePartially updates the business title for a specific job change.

Update Message Template By IDTool to update a message template in Workday by its ID.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before you begin, make sure you have:

Node.js and npm installed
A Composio account with API key
An OpenAI API key

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
Keep the API key safe.

Composio API Key

Log in to the Composio dashboard.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install required dependencies

bash

npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv

First, install the necessary packages for your project.

What you're installing:

@ai-sdk/openai: Vercel AI SDK's OpenAI provider
@ai-sdk/mcp: MCP client for Vercel AI SDK
@composio/core: Composio SDK for tool integration
ai: Core Vercel AI SDK
dotenv: Environment variable management

Set up environment variables

bash

OPENAI_API_KEY=your_openai_api_key_here
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here

Create a .env file in your project root.

What's needed:

OPENAI_API_KEY: Your OpenAI API key for GPT model access
COMPOSIO_API_KEY: Your Composio API key for tool access
COMPOSIO_USER_ID: A unique identifier for the user session

Import required modules and validate environment

typescript

import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});

What's happening:

We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio
The dotenv/config import automatically loads environment variables
The MCP client import enables connection to Composio's tool server

Create Tool Router session and initialize MCP client

typescript

async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["workday"],
  });

  const mcpUrl = session.mcp.url;

What's happening:

We're creating a Tool Router session that gives your agent access to Workday tools
The create method takes the user ID and specifies which toolkits should be available
The returned mcp object contains the URL and authentication headers needed to connect to the MCP server
This session provides access to all Workday-related tools through the MCP protocol

Connect to MCP server and retrieve tools

typescript

const mcpClient = await createMCPClient({
  transport: {
    type: "http",
    url: mcpUrl,
    headers: session.mcp.headers, // Authentication headers for the Composio MCP server
  },
});

const tools = await mcpClient.tools();

What's happening:

We're creating an MCP client that connects to our Composio Tool Router session via HTTP
The mcp.url provides the endpoint, and mcp.headers contains authentication credentials
The type: "http" is important - Composio requires HTTP transport
tools() retrieves all available Workday tools that the agent can use

Initialize conversation and CLI interface

typescript

let messages: ModelMessage[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log(
  "Ask any questions related to workday, like summarize my last 5 emails, send an email, etc... :)))\n",
);

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

What's happening:

We initialize an empty messages array to maintain conversation history
A readline interface is created to accept user input from the command line
Instructions are displayed to guide the user on how to interact with the agent

Handle user input and stream responses with real-time tool feedback

typescript

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({ role: "user", content: trimmedInput });
  console.log("\nAgent is thinking...\n");

  try {
    const stream = streamText({
      model: openai("gpt-5"),
      messages,
      tools,
      toolChoice: "auto",
      stopWhen: stepCountIs(10),
      onStepFinish: (step) => {
        for (const toolCall of step.toolCalls) {
          console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\n👋 Session ended.");
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});

What's happening:

We use streamText instead of generateText to stream responses in real-time
toolChoice: "auto" allows the model to decide when to use Workday tools
stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations
onStepFinish callback displays which tools are being used in real-time
We iterate through the text stream to create a typewriter effect as the agent responds
The complete response is added to conversation history to maintain context
Errors are caught and displayed with helpful retry suggestions

Complete Code

Here's the complete code to get you started with Workday and Vercel AI SDK:

typescript

import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});

async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["workday"],
  });

  const mcpUrl = session.mcp.url;

  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      url: mcpUrl,
      headers: session.mcp.headers, // Authentication headers for the Composio MCP server
    },
  });

  const tools = await mcpClient.tools();

  let messages: ModelMessage[] = [];

  console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
  console.log(
    "Ask any questions related to workday, like summarize my last 5 emails, send an email, etc... :)))\n",
  );

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
      console.log("\nGoodbye!");
      rl.close();
      process.exit(0);
    }

    if (!trimmedInput) {
      rl.prompt();
      return;
    }

    messages.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    try {
      const stream = streamText({
        model: openai("gpt-5"),
        messages,
        tools,
        toolChoice: "auto",
        stopWhen: stepCountIs(10),
        onStepFinish: (step) => {
          for (const toolCall of step.toolCalls) {
            console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\n👋 Session ended.");
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});

Conclusion

You've successfully built a Workday agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback.

Key features of this implementation:

Real-time streaming responses for a better user experience with typewriter effect
Live tool execution feedback showing which tools are being used as the agent works
Dynamic tool loading through Composio's Tool Router with secure authentication
Multi-step tool execution with configurable step limits (up to 10 steps)
Comprehensive error handling for robust agent execution
Conversation history maintenance for context-aware responses

You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

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TOOLKIT MARKETPLACE

FAQ

What are the differences in Tool Router MCP and Workday MCP?

With a standalone Workday MCP server, the agents and LLMs can only access a fixed set of Workday tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Workday and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with Vercel AI SDK v6?

Yes, you can. Vercel AI SDK v6 fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Workday tools.

Can I manage the permissions and scopes for Workday while using Tool Router?

Yes, absolutely. You can configure which Workday scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Workday data and credentials are handled as safely as possible.

Used by agents from

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.

Get started for free Get a demo↗

Harsha GaddipatiCo-founder, Slashy

Karan skipped his own birthday party to fix our critical issue. It was 10 pm and he diverted his Waymo to help us instead. This really sets the bar, shows you the commitment you need to have when users rely on your software.

Abhi AryaCo-founder, Opennote

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

We chose Composio over Pipedream because it delivered depth where it mattered. It supported niche tools and tricky edge cases that other platforms simply ignored. Giving us confidence to scale without compromising.

Ryan YuFounder, Extra Thursday

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down in the complexities of managing agent auth would have been a death sentence for Extra Thursday.

Tomisin JenrolaFounder & CEO, SwarmZero

Before partnering with Composio, adding tool integrations was a slow, resource-intensive process. Each integration could take weeks or months of engineering time, and maintaining them meant constantly keeping up with API changes.

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

How to integrate Workday MCP with Vercel AI SDK v6

Table of Contents

Connect Workday without Auth hassles

Introduction

Also integrate Workday with

TL;DR

What is Vercel AI SDK?

What is the Workday MCP server, and what's possible with it?

Supported Tools & Triggers

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install required dependencies

Set up environment variables

Import required modules and validate environment

Create Tool Router session and initialize MCP client

Connect to MCP server and retrieve tools

Initialize conversation and CLI interface

Handle user input and stream responses with real-time tool feedback

Complete Code

Conclusion

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VS Code

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FAQ

What are the differences in Tool Router MCP and Workday MCP?

Can I use Tool Router MCP with Vercel AI SDK v6?

Can I manage the permissions and scopes for Workday while using Tool Router?

How safe is my data with Composio Tool Router?

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Never worry about agent reliability