What authentication method does Workday use?

Workday uses OAuth 2.0 with a registered API Client. You'll need to provide your Client ID, Client Secret, and a Refresh Token — all generated from within your Workday tenant by an administrator.

Can I check PTO balances for my direct reports?

Yes. The `get_time_off_balances` tool retrieves current PTO balances for any worker within the security scope configured for your Integration System User. Data is returned per plan type (vacation, sick, personal).

Does it support Workday Report-as-a-Service (RaaS)?

Absolutely. Use the `execute_raas_report` tool with your report URL to retrieve any custom Workday report, including those with prompt parameters. Results are returned in JSON format.

Can I navigate the entire organizational hierarchy?

Yes. The `get_org_structure` tool fetches supervisory organizations, cost centers, and company hierarchies, allowing you to traverse the full org tree from any starting point.

Workday MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Workday
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Workday through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Workday "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Workday?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Workday MCP Server

Connect your Workday tenant to any AI agent and manage your human capital operations through natural conversation.

Pydantic AI validates every Workday tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Worker Profiles — Query employee data, job profiles, supervisory organizations, and worker history across your entire workforce
Payroll Insights — Retrieve payroll run summaries, compensation breakdowns, and benefit elections for any worker
Organizational Structure — Navigate supervisory hierarchies, cost centers, and company structures through simple queries
Time Off & Absence — Check PTO balances, pending time-off requests, and absence history for team members
Recruiting Pipeline — Monitor open positions, candidate pipeline status, and job requisition approvals
Compensation Planning — View compensation plans, merit increases, and bonus allocations across business units
Custom Reports — Execute Workday Report-as-a-Service (RaaS) queries for tailored data extractions

The Workday MCP Server exposes 9 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Workday to Pydantic AI via MCP

Follow these steps to integrate the Workday MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Workday with type-safe schemas

Why Use Pydantic AI with the Workday MCP Server

Pydantic AI provides unique advantages when paired with Workday through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Workday integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Workday connection logic from agent behavior for testable, maintainable code

Workday + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Workday MCP Server delivers measurable value.

Type-safe data pipelines: query Workday with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Workday tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Workday and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Workday responses and write comprehensive agent tests

Workday MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Workday to Pydantic AI via MCP:

execute_raas_report

Results are returned in JSON. The URL can include prompt parameters. Execute a Workday Report-as-a-Service (RaaS) report

get_payroll_results

Get payroll results for a worker

get_time_off_balances

Get time off balances for a worker

get_time_off_requests

Get pending time off requests for a worker

get_worker

Get detailed profile for a specific worker

list_job_requisitions

List open job requisitions

list_supervisory_orgs

Shows org names, managers, and headcounts. List supervisory organizations

list_workers

Use the search parameter to filter by name, employee ID, or other attributes. List or search Workday workers

query_resource

Examples: locations, companies, costCenters, businessUnits. Query any Workday REST API resource

Example Prompts for Workday in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Workday immediately.

"How many active employees do we have in the Engineering department?"

"Show me the PTO balance for John Smith."

"Run the 'Monthly Headcount Report' for Q1 2026."

Troubleshooting Workday MCP Server with Pydantic AI

Common issues when connecting Workday to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Workday + Pydantic AI FAQ

Common questions about integrating Workday MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Workday MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.