Factorial MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Factorial through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Factorial Assistant",
instructions=(
"You help users interact with Factorial. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Factorial"
)
print(result.final_output)
asyncio.run(main())
* 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 Factorial MCP Server
Connect your Factorial HR account to any AI agent and take full control of your human resources management and organizational workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Factorial through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Factorial, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Employee & Team Orchestration — List all registered employees and teams to retrieve detailed profiles, organizational roles, and department structures natively
- Leave & Absence Monitoring — Fetch all holiday and leave requests for any given year to track team availability and upcoming time-off boundaries flawlessly
- Shift & Schedule Navigation — Retrieve detailed shift scheduling information for specific months to audit team rotations and operational coverage securely
- Payroll Oversight — List available payslips across the organization for specific months to verify compensation records and financial trail metadata
- Document Discovery — Access stored company documents and folders to retrieve HR policies and internal documentation using natural language
- Company Data Auditing — Fetch global company metadata and administrative configurations to verify workspace settings and organizational identities
- Personnel Intelligence — Resolve specific employee contexts including contact details, manager relationships, and hiring dates limitlessly
The Factorial MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Factorial to OpenAI Agents SDK via MCP
Follow these steps to integrate the Factorial MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Factorial
Why Use OpenAI Agents SDK with the Factorial MCP Server
OpenAI Agents SDK provides unique advantages when paired with Factorial through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Factorial + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Factorial MCP Server delivers measurable value.
Automated workflows: build agents that query Factorial, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Factorial, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Factorial tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Factorial to resolve tickets, look up records, and update statuses without human intervention
Factorial MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Factorial to OpenAI Agents SDK via MCP:
clock_in
Clock in for a shift
clock_out
Clock out from a shift
get_employee
Get a specific Factorial employee by ID
get_me
Get current company identity info
list_documents
List all company documents
list_employees
List all Factorial employees
list_folders
List all company folders
list_holidays
List all holidays for a given year
list_leaves
List all leaves for a given year
list_payslips
List all payslips for a given year and month
list_shifts
List all shifts for a given year and month
list_teams
List all Factorial teams
Example Prompts for Factorial in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Factorial immediately.
"List all employees in the 'Engineering' team"
"Show me upcoming leave requests for June 2026"
"Find HR policy documents in the company folders"
Troubleshooting Factorial MCP Server with OpenAI Agents SDK
Common issues when connecting Factorial to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Factorial + OpenAI Agents SDK FAQ
Common questions about integrating Factorial MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Factorial with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Factorial to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.