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Factored Quality MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Factored Quality through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
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="Factored Quality Assistant",
            instructions=(
                "You help users interact with Factored Quality. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Factored Quality"
        )
        print(result.final_output)

asyncio.run(main())
Factored Quality
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Factored Quality MCP Server

Connect your Factored Quality account to any AI agent and take full control of your quality control (QC), audit, and compliance data through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Factored Quality through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Factored Quality, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Inspection Tracking — List all quality control inspections and fetch detailed results for any batch
  • Factory Audits — Inspect audit reports and compliance data for your manufacturing partners
  • Lab Testing — Access and monitor the status and results of your product lab tests
  • Booking Management — Create and manage bookings for QC services directly from the cloud
  • Supplier Visibility — Query details about your suppliers and their quality performance history
  • Real-time Data — Extract raw QC data to power your supply chain analytics and decision-making

The Factored Quality 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 Factored Quality to OpenAI Agents SDK via MCP

Follow these steps to integrate the Factored Quality MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 12 tools from Factored Quality

Why Use OpenAI Agents SDK with the Factored Quality MCP Server

OpenAI Agents SDK provides unique advantages when paired with Factored Quality through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Factored Quality + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Factored Quality MCP Server delivers measurable value.

01

Automated workflows: build agents that query Factored Quality, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Factored Quality, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Factored Quality tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Factored Quality to resolve tickets, look up records, and update statuses without human intervention

Factored Quality MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Factored Quality to OpenAI Agents SDK via MCP:

01

create_booking

Book a new quality control service

02

get_audit

Get details for a specific audit

03

get_booking

Get details for a specific booking

04

get_inspection

Get details for a specific inspection

05

get_lab_test

Get details for a specific lab test

06

get_me

Get current API user profile info

07

get_supplier

Get details for a specific supplier

08

list_audits

List all factory audits

09

list_bookings

List all QC service bookings

10

list_inspections

List all quality control inspections

11

list_lab_tests

List all lab tests

12

list_suppliers

List all suppliers

Example Prompts for Factored Quality in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Factored Quality immediately.

01

"List all recent quality control inspections."

02

"Show me the status of the latest lab test for product Y."

03

"Book a new inspection for Supplier Z next week."

Troubleshooting Factored Quality MCP Server with OpenAI Agents SDK

Common issues when connecting Factored Quality to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Factored Quality + OpenAI Agents SDK FAQ

Common questions about integrating Factored Quality MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Factored Quality to OpenAI Agents SDK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.