How to Use the Workday MCP in AutoGen

Q: What critical Workday processes can AutoGen handle?

The system manages worker profiles, payroll data (getpayrollresults), time off records, job requisitions, and organizational structures. The agents cover the entire HR lifecycle in Workday.

Drive consensus decisions on Workday data using AutoGen's multi-agent framework via MCP Server.

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Connect Workday MCP to AutoGen

Create your Vinkius account to connect Workday to AutoGen 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 AutoGen

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Perplexity

Negotiating Employee Status and PTO

When a decision requires multiple inputs, have agents debate the status. One agent calls `get_time_off_balances`, while another checks pending requests using `get_time_off_requests`. They then discuss if the employee has sufficient time to take the requested leave.

Analyzing Organizational Changes

Use a multi-agent setup to model org changes. Agent A calls `list_supervisory_orgs` to get current structure. Agent B then uses `query_resource` to check if specific business units are listed as managers, forcing a debate on structural integrity.

Comprehensive Worker Vetting

If an agent needs to vet a candidate, it can assign tasks: one calls `list_workers` for basic filtering, and another uses `get_worker` for the full profile. The agents then debate whether the available data meets the hiring criteria.

Setup guide

Set up Workday MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Workday tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Workday_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Workday data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Workday_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Workday data")
    print(result.messages[-1].content)

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Common questions about Workday MCP in AutoGen

You give a goal—like 'find out about Q3 payroll issues.' The agents will decide if they need `execute_raas_report`. They then debate the best prompt parameters and analyze the resulting JSON data together.

The system manages worker profiles, payroll data (`get_payroll_results`), time off records, job requisitions, and organizational structures. The agents cover the entire HR lifecycle in Workday.

Yes. Instead of a single search, you can set up two agents: one using `list_workers` and another using `query_resource`. They compare the resulting lists to ensure all relevant filters were applied.

It is, because it simulates human deliberation. If a decision isn't obvious—say, whether an employee can take PTO given their history and current status—the agents will debate the answer until they reach consensus.

The server exposes detailed worker records, including the employee ID, name, and full profile details retrieved through `get_worker`.

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