How to Use the Factored Quality MCP in OpenAI Agents SDK
Plug Factored Quality into your OpenAI Agents SDK workflow to automate audit tracking and inspection scheduling without the manual bloat.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Factored Quality MCP to OpenAI Agents SDK
Create your Vinkius account to connect Factored Quality 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.
Automate audit tracking with OpenAI Agents SDK
Stop digging through spreadsheets to find factory status. Your agent uses `list_audits` to pull the current queue and `get_audit` to drill into specific failures. It handles the heavy lifting, giving you a clean summary of every outstanding issue before you start your day. No more stale data slowing down your supply chain decisions.
Schedule inspections directly via your agent
Trigger `create_booking` when your agent detects a production milestone. It handles the request details based on your existing supplier records. You keep the process moving without leaving your Python environment. It’s a direct line from your agent's logic to the factory floor.
View lab test results in real-time
Your agent queries `list_lab_tests` to find pending samples. It then pulls the technical breakdown using `get_lab_test` to verify compliance. This keeps your agent informed with the latest data. You get immediate visibility into quality bottlenecks, allowing you to flag potential issues before they ship.
Set up Factored Quality MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Factored Quality tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Factored Quality tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Factored Quality tools and returns structured results. Copy the full example on the right to get started.
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="Factored Quality Agent",
instructions="You have access to Factored Quality tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Factored Quality. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Factored Quality MCP in OpenAI Agents SDK
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