How to Use the Factor (Cofactr) MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK use Factor (Cofactr) to check stock?

Yes. The agent uses the listinventory tool to pull live data from your warehouses. It then processes these counts to decide if a reorder is necessary.

Connect Factor (Cofactr) to OpenAI Agents SDK to automate your procurement and inventory tracking with production-grade guardrails.

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Connect Factor (Cofactr) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Factor (Cofactr) 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 Factor (Cofactr) with OpenAI Agents SDK

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Automate PO generation in OpenAI Agents SDK

Your agent handles the heavy lifting by using `create_purchase_order` to push new orders directly into your system. It removes the manual data entry that slows down your procurement cycle. By using `list_purchase_orders` and `get_purchase_order`, your agent keeps a constant eye on status updates. It logs every transaction so you have a trail for every dollar spent.

Inventory management via MCP Server

Stop guessing your stock levels and let your agent query `list_inventory` for real-time counts. It pulls exactly what is sitting in your warehouses right now. When you need specs, the agent calls `get_item` to grab the data it needs to make decisions. It ensures your assembly lines never stall because of missing components.

Supplier coordination for your agent

Your agent uses `list_suppliers` to scan your vendor network and verify who carries the parts you need. It cuts down the time spent calling around for quotes. With `get_supplier` and `list_rfqs`, the agent builds a complete picture of your supply chain health. It acts on the data immediately without waiting for human input.

Setup guide

Set up Factor (Cofactr) 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 Factor (Cofactr) tools at runtime.
3

Create your Agent

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

Run the agent

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

You handle authentication through your Vinkius-managed endpoint token. The SDK manages this securely via the connection parameters, ensuring your API keys never leak into your agent's logs.

Yes. The agent uses the `list_inventory` tool to pull live data from your warehouses. It then processes these counts to decide if a reorder is necessary.

Absolutely. Since the MCP server connects via HTTP, your agent can run these operations asynchronously. This prevents your main execution loop from hanging while waiting for API responses.

The MCP server returns an error message that your agent catches immediately. You should implement standard error handling to manage retries or notify your team.

Your data stays between your agent and the Factor API. Vinkius operates a zero-trust sandbox, meaning no third party sees your purchase orders or inventory levels.

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