How to Use the WebHR MCP in OpenAI Agents SDK

Q: Can I get department lists and employee roles with WebHR using the OpenAI Agents SDK?

Absolutely. You use listcompanydepartments to list departments like Sales and Engineering, and then you can pair that data with getemployeedetails to see which employees fall into those specific organizational units.

Q: What kind of leave data does WebHR provide when using the OpenAI Agents SDK?

The server tracks both historical requests via listleaverequests and provides a definitive list of categories available through listavailableleavetypes. It gives you a complete view of company policy versus employee usage.

Q: If I need to check job openings, which WebHR tools work with the OpenAI Agents SDK?

You'll want to use listjobpostings for open positions and listjobrequests if you are looking at internal moves. The agents handle calling these two functions together.

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Connect WebHR MCP to OpenAI Agents SDK

Create your Vinkius account to connect WebHR to OpenAI Agents 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 WebHR with OpenAI Agents SDK

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Check attendance and employee status.

You can pull aggregated attendance metrics using `get_attendance_summary`. This gives you a quick look at staffing patterns across the company. Need more detail? Agents fetch specific personnel info with `get_employee_details` or list historical clock-in/out records via `list_attendance_logs`. It’s straightforward reporting.

Manage internal job movements.

When an employee needs a new role, agents track it. You can see what positions are open by calling `list_job_postings`, or check existing internal requests using `list_job_requests`. They also handle recruitment data: list current applicants with `list_job_candidates` and view the organization's general workforce roster via `list_employees`. It keeps your hiring pipeline visible.

Track leave policies and history.

Agents manage time off requests. You can list an employee’s past requests using `list_leave_requests` to check their tenure. Beyond history, you'll get the full picture: see which types of leave are available with `list_available_leave_types`, and find out what departments exist on campus by running `list_company_departments`. It’s great for compliance checks.

Setup guide

Set up WebHR MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all WebHR tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives WebHR tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate WebHR tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="WebHR Agent",
            instructions="You have access to WebHR tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about WebHR MCP in OpenAI Agents SDK

You pass the WebHR MCP Server into your Agent constructor. The agents auto-discover all available tools, so you don't have to manually configure endpoints for every function.

Yep. Because it’s designed for production systems, the SDK includes built-in guardrails. These validate agent actions before they run against WebHR, preventing bad data writes or unintended calls.

Absolutely. You use `list_company_departments` to list departments like Sales and Engineering, and then you can pair that data with `get_employee_details` to see which employees fall into those specific organizational units.

The server tracks both historical requests via `list_leave_requests` and provides a definitive list of categories available through `list_available_leave_types`. It gives you a complete view of company policy versus employee usage.

You'll want to use `list_job_postings` for open positions and `list_job_requests` if you are looking at internal moves. The agents handle calling these two functions together.

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