How to Use the Printful MCP in OpenAI Agents SDK

Q: How do I connect Printful to the OpenAI Agents SDK?

Install openai-agents. Create your connection using MCPServerStreamableHttp with your Vinkius URL. Pass it via the mcpservers array in your Agent constructor.

Q: Can my OpenAI agent filter Printful categories?

Yes. The listproducts tool accepts category IDs. Your agent will only pull items from that specific group, keeping the context window clean.

Q: Why does the agent need variant IDs?

Printful requires exact variant IDs to process orders. The getvariant tool ensures your agent captures the correct identifier instead of a generic product name.

Q: Does the OpenAI Agents SDK cache the Printful MCP tools?

You should enable it. Set cacheToolsList=True when configuring the MCP Server to skip the discovery phase on every request and speed up your agent's response time.

Build production-grade merchandising bots using Printful and the OpenAI Agents SDK.

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Connect Printful MCP to OpenAI Agents SDK

Create your Vinkius account to connect Printful to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Printful with OpenAI Agents SDK

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Filter catalogs with built-in guardrails

The `list_products` tool lets your OpenAI agent pull category-specific apparel directly into its context window. You set the guardrails, and the agent filters the Printful catalog without hallucinating inventory that doesn't exist. Because the OpenAI Agents SDK supports specialized handoffs, you can have a discovery agent scan categories and pass the results to a pricing agent. Add the Printful MCP Server via `MCPServerStreamableHttp`, flip `cacheToolsList=True`, and your production bots start building virtual storefronts instantly.

Route variants through OpenAI Agents SDK

The `get_variant` tool fetches the exact Printful variant IDs your system needs to actually place orders. This matters because guessing SKUs breaks fulfillment, and OpenAI's built-in tracing lets you watch the agent verify the ID before committing it to a database. When a customer asks for a large red t-shirt, the agent hits `get_product` for the base item and then isolates the specific variant. You get full visibility into the execution path on the OpenAI dashboard, ensuring your automated shopper behaves exactly as programmed.

Map physical dimensions automatically

The `get_product_sizes` tool extracts exact measurement tables for any item in the Printful database. Your agent reads the chest and length specs to answer customer sizing questions accurately, preventing returns before they happen. Since you pass this MCP integration straight into the Agent constructor, the AI auto-discovers the sizing tool without manual prompt engineering. It reads the raw table data and formats it into a localized response based on the user's region.

Setup guide

Set up Printful 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 Printful tools at runtime.
3

Create your Agent

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

Run the agent

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

Install `openai-agents`. Create your connection using `MCPServerStreamableHttp` with your Vinkius URL. Pass it via the `mcp_servers` array in your Agent constructor.

Yes. The `list_products` tool accepts category IDs. Your agent will only pull items from that specific group, keeping the context window clean.

Printful requires exact variant IDs to process orders. The `get_variant` tool ensures your agent captures the correct identifier instead of a generic product name.

You should enable it. Set `cacheToolsList=True` when configuring the MCP Server to skip the discovery phase on every request and speed up your agent's response time.

This server only reads public catalog data, variant details, and sizing tables. Vinkius isolates the execution in an ephemeral V8 sandbox, meaning the OpenAI agent pulls the specs it needs and the connection dies immediately with zero persistent logging.

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