How to Use the Factorial MCP in OpenAI Agents SDK

Q: How does Factorial integrate with OpenAI Agents SDK?

You connect the MCP server via the MCPServerStreamableHttp class. Once you pass it to your Agent constructor, the tools are discovered automatically for your agent to use.

Connect your OpenAI Agents SDK production systems to Factorial for automated HR data handling and employee record management.

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Connect Factorial MCP to OpenAI Agents SDK

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

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Real-time HR data for OpenAI Agents SDK

Your agent pulls live employee stats directly from Factorial. Use `list_employees` and `get_employee` to feed identity data into your decision loops without manual lookups. Everything stays within your Python context. The agent processes the JSON response from `get_me` instantly, ensuring your logic relies on current company data.

Automated time tracking and shift management

Trigger `clock_in` and `clock_out` directly through your agent logic. This MCP Server gives your system the ability to handle shift logs via `list_shifts` without leaving your IDE. Your production agent monitors these endpoints to track team attendance. It removes the friction of manual log entry, keeping your HR records accurate and updated.

Direct access to documents and payroll

Query `list_payslips` and `list_documents` to retrieve financial records or internal company files. Your agent parses these outputs to verify payroll status or policy compliance automatically. Keep your workflow tight. By connecting your agent to these specific tools, you stop the back-and-forth between your dashboard and the Factorial portal.

Setup guide

Set up Factorial 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 Factorial tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Factorial 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="Factorial Agent",
            instructions="You have access to Factorial 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 Factorial MCP in OpenAI Agents SDK

You connect the MCP server via the `MCPServerStreamableHttp` class. Once you pass it to your Agent constructor, the tools are discovered automatically for your agent to use.

Yes, it can execute actions like clocking in or out. You should scope your API token to only the permissions your agent actually needs to perform its tasks.

It is as reliable as the underlying API responses. You can set `cacheToolsList=True` in your setup to improve performance and reduce overhead during agent execution.

The server runs as an external process. Your agent communicates with it over HTTP, so keep the server process active while your agent is running.

The server acts as a bridge. It only transmits data you explicitly request through the tools, and you manage the security by controlling the API token provided to the endpoint.

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